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    kaivalya-cyber/README.md
    Kaivalya Singh
    Typing SVG

    LinkedInInstagramPortfolioEmail

    Profile Views

    whoami

    constkaivalya={school : "Evergreen Valley High School · Class of 2028",orgs : ["Founder @ Synthica (RL/ML Research)","Founder @ Vantage Point Learning"],focus : ["Quantum Computing","Reinforcement Learning","Computer Vision"],stack : ["PyTorch","PennyLane","MuJoCo","Gymnasium","OpenCV"],building : "Adaptive Variational QEC Decoder + MARL Drone Swarm Research",};

    I work at the intersection of quantum computing, reinforcement learning, and computer vision — shipping real research and production-grade systems, not toy demos. I lead Synthica, a student-run international research org, and founded Vantage Point Learning, a STEM nonprofit serving 400+ students across five schools.

    🔬 Research

    • Adaptive Variational QEC Decoder — CNN-routed syndrome decoder with 18.4% avg LER improvement, 27.2% peak
    • Reward shaping for nonlinear control — novel Lyapunov Satisfaction Rate (LSR) metric, PPO/SAC/LQR baselines
    • MARL Drone Swarm — CTDE architecture with emergent role specialization across two competing teams

    ⚙️ Engineering

    • PureGrad — autograd + backprop engine from scratch in NumPy, 99.7% acc, 19/19 tests
    • Drone Visual Tracking — YOLOv8 + SAC agent deployed on real drone hardware via MAVSDK/PX4
    • FTC Analytics Dataset — 53 events, 1,762 matches, OPR/ELO metrics, Kaggle published (88.69% acc)

    tech_stack

    PyTorchGymnasiumStable--Baselines3OpenCVYOLOv8MediaPipe

    PennyLanestimpymatching

    MuJoCoPyBulletMAVSDK

    PythonC++CUDAJava

    ReactTypeScriptSupabaseNode.js

    featured

    ⚛️ Adaptive Variational QEC Decoder
    Real-time noise classifier routing syndrome data to specialized variational quantum decoders. 18.4% avg LER improvement, 94.2% classifier accuracy.
    PennyLanePyTorchstimpymatching
    → repo

    🤖 MAPPO Drone Swarm (MARL)
    Centralized Training Decentralized Execution swarm — two competing teams of three drones with emergent role specialization.
    PyTorchPyBulletGymnasium
    → repo

    🧠 PureGrad — Autograd from Scratch
    Full deep learning framework in pure NumPy. Dynamic DAG, reverse-mode autodiff, MLP, optimizers. 99.7% acc, 19/19 tests.
    PythonNumPyAutodiff

    🌐 Vantage Point Learning
    STEM nonprofit platform with real-time volunteer feed, atomic claim logic, Google OAuth/PKCE. Serving 400+ students across San Jose & Asia.
    ReactSupabaseTypeScript
    → live · → repo

    github_stats

    "Sometimes the best way to solve a problem is to help others." — Uncle Iroh


    Pinned Loading

    1. car_neural_diff_learningcar_neural_diff_learningPublic

      Python

    2. puregradpuregradPublic

      Python 1

    3. ftc-analytics-datasetftc-analytics-datasetPublic

      A clean, structured dataset of FIRST Tech Challenge (FTC) match results (2018-19 through 2023-24), with OPR metrics and ML benchmarks for win prediction and alliance strength.

      Python

    4. opponent-modeling-marlopponent-modeling-marlPublic

      Multi-agent reinforcement learning with opponent modeling: PPO agents with GRU/Transformer opponent models, curriculum learning, past-self evaluation, and comprehensive analysis tools

      Python

    5. variational-qec-decodervariational-qec-decoderPublic

      Python

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      Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark
      
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      kaivalya-cyber/README.md
      Kaivalya Singh
      Typing SVG
      LinkedInInstagramPortfolioEmail
      Profile Views
      whoami
      constkaivalya={school : "Evergreen Valley High School · Class of 2028",orgs : ["Founder @ Synthica (RL/ML Research)","Founder @ Vantage Point Learning"],focus : ["Quantum Computing","Reinforcement Learning","Computer Vision"],stack : ["PyTorch","PennyLane","MuJoCo","Gymnasium","OpenCV"],building : "Adaptive Variational QEC Decoder + MARL Drone Swarm Research",};
      I work at the intersection of quantum computing, reinforcement learning, and computer vision — shipping real research and production-grade systems, not toy demos. I lead Synthica, a student-run international research org, and founded Vantage Point Learning, a STEM nonprofit serving 400+ students across five schools.
      🔬 Research
      • Adaptive Variational QEC Decoder — CNN-routed syndrome decoder with 18.4% avg LER improvement, 27.2% peak
      • Reward shaping for nonlinear control — novel Lyapunov Satisfaction Rate (LSR) metric, PPO/SAC/LQR baselines
      • MARL Drone Swarm — CTDE architecture with emergent role specialization across two competing teams
      ⚙️ Engineering
      • PureGrad — autograd + backprop engine from scratch in NumPy, 99.7% acc, 19/19 tests
      • Drone Visual Tracking — YOLOv8 + SAC agent deployed on real drone hardware via MAVSDK/PX4
      • FTC Analytics Dataset — 53 events, 1,762 matches, OPR/ELO metrics, Kaggle published (88.69% acc)
      tech_stack
      PyTorchGymnasiumStable--Baselines3OpenCVYOLOv8MediaPipe
      PennyLanestimpymatching
      MuJoCoPyBulletMAVSDK
      PythonC++CUDAJava
      ReactTypeScriptSupabaseNode.js
      featured
      ⚛️ Adaptive Variational QEC Decoder
      
Real-time noise classifier routing syndrome data to specialized variational quantum decoders. 18.4% avg LER improvement, 94.2% classifier accuracy.
      PennyLanePyTorchstimpymatching
      → repo
      🤖 MAPPO Drone Swarm (MARL)
      
Centralized Training Decentralized Execution swarm — two competing teams of three drones with emergent role specialization.
      PyTorchPyBulletGymnasium
      → repo
      🧠 PureGrad — Autograd from Scratch
      
Full deep learning framework in pure NumPy. Dynamic DAG, reverse-mode autodiff, MLP, optimizers. 99.7% acc, 19/19 tests.
      PythonNumPyAutodiff
      🌐 Vantage Point Learning
      
STEM nonprofit platform with real-time volunteer feed, atomic claim logic, Google OAuth/PKCE. Serving 400+ students across San Jose & Asia.
      ReactSupabaseTypeScript
      → live · → repo
      github_stats
      "Sometimes the best way to solve a problem is to help others." — Uncle Iroh

      
Pinned
Loading
      1. car_neural_diff_learningcar_neural_diff_learningPublic
        Python
      2. puregradpuregradPublic
        Python
1

      3. ftc-analytics-datasetftc-analytics-datasetPublic
        
A clean, structured dataset of FIRST Tech Challenge (FTC) match results (2018-19 through 2023-24), with OPR metrics and ML benchmarks for win prediction and alliance strength.

        Python
      4. opponent-modeling-marlopponent-modeling-marlPublic
        
Multi-agent reinforcement learning with opponent modeling: PPO agents with GRU/Transformer opponent models, curriculum learning, past-self evaluation, and comprehensive analysis tools

        Python
      5. variational-qec-decodervariational-qec-decoderPublic
        Python
      
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        Achievements
        Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark
        
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        kaivalya-cyber/README.md
        Kaivalya Singh
        Typing SVG
        LinkedInInstagramPortfolioEmail
        Profile Views
        whoami
        constkaivalya={school : "Evergreen Valley High School · Class of 2028",orgs : ["Founder @ Synthica (RL/ML Research)","Founder @ Vantage Point Learning"],focus : ["Quantum Computing","Reinforcement Learning","Computer Vision"],stack : ["PyTorch","PennyLane","MuJoCo","Gymnasium","OpenCV"],building : "Adaptive Variational QEC Decoder + MARL Drone Swarm Research",};
        I work at the intersection of quantum computing, reinforcement learning, and computer vision — shipping real research and production-grade systems, not toy demos. I lead Synthica, a student-run international research org, and founded Vantage Point Learning, a STEM nonprofit serving 400+ students across five schools.
        🔬 Research
        • Adaptive Variational QEC Decoder — CNN-routed syndrome decoder with 18.4% avg LER improvement, 27.2% peak
        • Reward shaping for nonlinear control — novel Lyapunov Satisfaction Rate (LSR) metric, PPO/SAC/LQR baselines
        • MARL Drone Swarm — CTDE architecture with emergent role specialization across two competing teams
        ⚙️ Engineering
        • PureGrad — autograd + backprop engine from scratch in NumPy, 99.7% acc, 19/19 tests
        • Drone Visual Tracking — YOLOv8 + SAC agent deployed on real drone hardware via MAVSDK/PX4
        • FTC Analytics Dataset — 53 events, 1,762 matches, OPR/ELO metrics, Kaggle published (88.69% acc)
        tech_stack
        PyTorchGymnasiumStable--Baselines3OpenCVYOLOv8MediaPipe
        PennyLanestimpymatching
        MuJoCoPyBulletMAVSDK
        PythonC++CUDAJava
        ReactTypeScriptSupabaseNode.js
        featured
        ⚛️ Adaptive Variational QEC Decoder
        
Real-time noise classifier routing syndrome data to specialized variational quantum decoders. 18.4% avg LER improvement, 94.2% classifier accuracy.
        PennyLanePyTorchstimpymatching
        → repo
        🤖 MAPPO Drone Swarm (MARL)
        
Centralized Training Decentralized Execution swarm — two competing teams of three drones with emergent role specialization.
        PyTorchPyBulletGymnasium
        → repo
        🧠 PureGrad — Autograd from Scratch
        
Full deep learning framework in pure NumPy. Dynamic DAG, reverse-mode autodiff, MLP, optimizers. 99.7% acc, 19/19 tests.
        PythonNumPyAutodiff
        🌐 Vantage Point Learning
        
STEM nonprofit platform with real-time volunteer feed, atomic claim logic, Google OAuth/PKCE. Serving 400+ students across San Jose & Asia.
        ReactSupabaseTypeScript
        → live · → repo
        github_stats
        "Sometimes the best way to solve a problem is to help others." — Uncle Iroh

        
Pinned
Loading
        1. car_neural_diff_learningcar_neural_diff_learningPublic
          Python
        2. puregradpuregradPublic
          Python
1

        3. ftc-analytics-datasetftc-analytics-datasetPublic
          
A clean, structured dataset of FIRST Tech Challenge (FTC) match results (2018-19 through 2023-24), with OPR metrics and ML benchmarks for win prediction and alliance strength.

          Python
        4. opponent-modeling-marlopponent-modeling-marlPublic
          
Multi-agent reinforcement learning with opponent modeling: PPO agents with GRU/Transformer opponent models, curriculum learning, past-self evaluation, and comprehensive analysis tools

          Python
        5. variational-qec-decodervariational-qec-decoderPublic
          Python
        
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          Achievements
          Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark
          
Block or report kaivalya-cyber

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          kaivalya-cyber/README.md
          Kaivalya Singh
          Typing SVG
          LinkedInInstagramPortfolioEmail
          Profile Views
          whoami
          constkaivalya={school : "Evergreen Valley High School · Class of 2028",orgs : ["Founder @ Synthica (RL/ML Research)","Founder @ Vantage Point Learning"],focus : ["Quantum Computing","Reinforcement Learning","Computer Vision"],stack : ["PyTorch","PennyLane","MuJoCo","Gymnasium","OpenCV"],building : "Adaptive Variational QEC Decoder + MARL Drone Swarm Research",};
          I work at the intersection of quantum computing, reinforcement learning, and computer vision — shipping real research and production-grade systems, not toy demos. I lead Synthica, a student-run international research org, and founded Vantage Point Learning, a STEM nonprofit serving 400+ students across five schools.
          🔬 Research
          • Adaptive Variational QEC Decoder — CNN-routed syndrome decoder with 18.4% avg LER improvement, 27.2% peak
          • Reward shaping for nonlinear control — novel Lyapunov Satisfaction Rate (LSR) metric, PPO/SAC/LQR baselines
          • MARL Drone Swarm — CTDE architecture with emergent role specialization across two competing teams
          ⚙️ Engineering
          • PureGrad — autograd + backprop engine from scratch in NumPy, 99.7% acc, 19/19 tests
          • Drone Visual Tracking — YOLOv8 + SAC agent deployed on real drone hardware via MAVSDK/PX4
          • FTC Analytics Dataset — 53 events, 1,762 matches, OPR/ELO metrics, Kaggle published (88.69% acc)
          tech_stack
          PyTorchGymnasiumStable--Baselines3OpenCVYOLOv8MediaPipe
          PennyLanestimpymatching
          MuJoCoPyBulletMAVSDK
          PythonC++CUDAJava
          ReactTypeScriptSupabaseNode.js
          featured
          ⚛️ Adaptive Variational QEC Decoder
          
Real-time noise classifier routing syndrome data to specialized variational quantum decoders. 18.4% avg LER improvement, 94.2% classifier accuracy.
          PennyLanePyTorchstimpymatching
          → repo
          🤖 MAPPO Drone Swarm (MARL)
          
Centralized Training Decentralized Execution swarm — two competing teams of three drones with emergent role specialization.
          PyTorchPyBulletGymnasium
          → repo
          🧠 PureGrad — Autograd from Scratch
          
Full deep learning framework in pure NumPy. Dynamic DAG, reverse-mode autodiff, MLP, optimizers. 99.7% acc, 19/19 tests.
          PythonNumPyAutodiff
          🌐 Vantage Point Learning
          
STEM nonprofit platform with real-time volunteer feed, atomic claim logic, Google OAuth/PKCE. Serving 400+ students across San Jose & Asia.
          ReactSupabaseTypeScript
          → live · → repo
          github_stats
          "Sometimes the best way to solve a problem is to help others." — Uncle Iroh

          
Pinned
Loading
          1. car_neural_diff_learningcar_neural_diff_learningPublic
            Python
          2. puregradpuregradPublic
            Python
1

          3. ftc-analytics-datasetftc-analytics-datasetPublic
            
A clean, structured dataset of FIRST Tech Challenge (FTC) match results (2018-19 through 2023-24), with OPR metrics and ML benchmarks for win prediction and alliance strength.

            Python
          4. opponent-modeling-marlopponent-modeling-marlPublic
            
Multi-agent reinforcement learning with opponent modeling: PPO agents with GRU/Transformer opponent models, curriculum learning, past-self evaluation, and comprehensive analysis tools

            Python
          5. variational-qec-decodervariational-qec-decoderPublic
            Python
          
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          4
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            Achievements
            Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark
            Achievements
            Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark
            
Block or report kaivalya-cyber

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            kaivalya-cyber/README.md
            Kaivalya Singh
            Typing SVG
            LinkedInInstagramPortfolioEmail
            Profile Views
            whoami
            constkaivalya={school : "Evergreen Valley High School · Class of 2028",orgs : ["Founder @ Synthica (RL/ML Research)","Founder @ Vantage Point Learning"],focus : ["Quantum Computing","Reinforcement Learning","Computer Vision"],stack : ["PyTorch","PennyLane","MuJoCo","Gymnasium","OpenCV"],building : "Adaptive Variational QEC Decoder + MARL Drone Swarm Research",};
            I work at the intersection of quantum computing, reinforcement learning, and computer vision — shipping real research and production-grade systems, not toy demos. I lead Synthica, a student-run international research org, and founded Vantage Point Learning, a STEM nonprofit serving 400+ students across five schools.
            🔬 Research
            • Adaptive Variational QEC Decoder — CNN-routed syndrome decoder with 18.4% avg LER improvement, 27.2% peak
            • Reward shaping for nonlinear control — novel Lyapunov Satisfaction Rate (LSR) metric, PPO/SAC/LQR baselines
            • MARL Drone Swarm — CTDE architecture with emergent role specialization across two competing teams
            ⚙️ Engineering
            • PureGrad — autograd + backprop engine from scratch in NumPy, 99.7% acc, 19/19 tests
            • Drone Visual Tracking — YOLOv8 + SAC agent deployed on real drone hardware via MAVSDK/PX4
            • FTC Analytics Dataset — 53 events, 1,762 matches, OPR/ELO metrics, Kaggle published (88.69% acc)
            tech_stack
            PyTorchGymnasiumStable--Baselines3OpenCVYOLOv8MediaPipe
            PennyLanestimpymatching
            MuJoCoPyBulletMAVSDK
            PythonC++CUDAJava
            ReactTypeScriptSupabaseNode.js
            featured
            ⚛️ Adaptive Variational QEC Decoder
            
Real-time noise classifier routing syndrome data to specialized variational quantum decoders. 18.4% avg LER improvement, 94.2% classifier accuracy.
            PennyLanePyTorchstimpymatching
            → repo
            🤖 MAPPO Drone Swarm (MARL)
            
Centralized Training Decentralized Execution swarm — two competing teams of three drones with emergent role specialization.
            PyTorchPyBulletGymnasium
            → repo
            🧠 PureGrad — Autograd from Scratch
            
Full deep learning framework in pure NumPy. Dynamic DAG, reverse-mode autodiff, MLP, optimizers. 99.7% acc, 19/19 tests.
            PythonNumPyAutodiff
            🌐 Vantage Point Learning
            
STEM nonprofit platform with real-time volunteer feed, atomic claim logic, Google OAuth/PKCE. Serving 400+ students across San Jose & Asia.
            ReactSupabaseTypeScript
            → live · → repo
            github_stats
            "Sometimes the best way to solve a problem is to help others." — Uncle Iroh

            
Pinned
Loading
            1. car_neural_diff_learningcar_neural_diff_learningPublic
              Python
            2. puregradpuregradPublic
              Python
1

            3. ftc-analytics-datasetftc-analytics-datasetPublic
              
A clean, structured dataset of FIRST Tech Challenge (FTC) match results (2018-19 through 2023-24), with OPR metrics and ML benchmarks for win prediction and alliance strength.

              Python
            4. opponent-modeling-marlopponent-modeling-marlPublic
              
Multi-agent reinforcement learning with opponent modeling: PPO agents with GRU/Transformer opponent models, curriculum learning, past-self evaluation, and comprehensive analysis tools

              Python
            5. variational-qec-decodervariational-qec-decoderPublic
              Python
            
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              kaivalya-cyber/README.md
              Kaivalya Singh
              Typing SVG
              LinkedInInstagramPortfolioEmail
              Profile Views
              whoami
              constkaivalya={school : "Evergreen Valley High School · Class of 2028",orgs : ["Founder @ Synthica (RL/ML Research)","Founder @ Vantage Point Learning"],focus : ["Quantum Computing","Reinforcement Learning","Computer Vision"],stack : ["PyTorch","PennyLane","MuJoCo","Gymnasium","OpenCV"],building : "Adaptive Variational QEC Decoder + MARL Drone Swarm Research",};
              I work at the intersection of quantum computing, reinforcement learning, and computer vision — shipping real research and production-grade systems, not toy demos. I lead Synthica, a student-run international research org, and founded Vantage Point Learning, a STEM nonprofit serving 400+ students across five schools.
              🔬 Research
              • Adaptive Variational QEC Decoder — CNN-routed syndrome decoder with 18.4% avg LER improvement, 27.2% peak
              • Reward shaping for nonlinear control — novel Lyapunov Satisfaction Rate (LSR) metric, PPO/SAC/LQR baselines
              • MARL Drone Swarm — CTDE architecture with emergent role specialization across two competing teams
              ⚙️ Engineering
              • PureGrad — autograd + backprop engine from scratch in NumPy, 99.7% acc, 19/19 tests
              • Drone Visual Tracking — YOLOv8 + SAC agent deployed on real drone hardware via MAVSDK/PX4
              • FTC Analytics Dataset — 53 events, 1,762 matches, OPR/ELO metrics, Kaggle published (88.69% acc)
              tech_stack
              PyTorchGymnasiumStable--Baselines3OpenCVYOLOv8MediaPipe
              PennyLanestimpymatching
              MuJoCoPyBulletMAVSDK
              PythonC++CUDAJava
              ReactTypeScriptSupabaseNode.js
              featured
              ⚛️ Adaptive Variational QEC Decoder
              
Real-time noise classifier routing syndrome data to specialized variational quantum decoders. 18.4% avg LER improvement, 94.2% classifier accuracy.
              PennyLanePyTorchstimpymatching
              → repo
              🤖 MAPPO Drone Swarm (MARL)
              
Centralized Training Decentralized Execution swarm — two competing teams of three drones with emergent role specialization.
              PyTorchPyBulletGymnasium
              → repo
              🧠 PureGrad — Autograd from Scratch
              
Full deep learning framework in pure NumPy. Dynamic DAG, reverse-mode autodiff, MLP, optimizers. 99.7% acc, 19/19 tests.
              PythonNumPyAutodiff
              🌐 Vantage Point Learning
              
STEM nonprofit platform with real-time volunteer feed, atomic claim logic, Google OAuth/PKCE. Serving 400+ students across San Jose & Asia.
              ReactSupabaseTypeScript
              → live · → repo
              github_stats
              "Sometimes the best way to solve a problem is to help others." — Uncle Iroh

              
Pinned
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              1. car_neural_diff_learningcar_neural_diff_learningPublic
                Python
              2. puregradpuregradPublic
                Python
1

              3. ftc-analytics-datasetftc-analytics-datasetPublic
                
A clean, structured dataset of FIRST Tech Challenge (FTC) match results (2018-19 through 2023-24), with OPR metrics and ML benchmarks for win prediction and alliance strength.

                Python
              4. opponent-modeling-marlopponent-modeling-marlPublic
                
Multi-agent reinforcement learning with opponent modeling: PPO agents with GRU/Transformer opponent models, curriculum learning, past-self evaluation, and comprehensive analysis tools

                Python
              5. variational-qec-decodervariational-qec-decoderPublic
                Python
              
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                Achievements
                Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark
                
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                kaivalya-cyber/README.md
                Kaivalya Singh
                Typing SVG
                LinkedInInstagramPortfolioEmail
                Profile Views
                whoami
                constkaivalya={school : "Evergreen Valley High School · Class of 2028",orgs : ["Founder @ Synthica (RL/ML Research)","Founder @ Vantage Point Learning"],focus : ["Quantum Computing","Reinforcement Learning","Computer Vision"],stack : ["PyTorch","PennyLane","MuJoCo","Gymnasium","OpenCV"],building : "Adaptive Variational QEC Decoder + MARL Drone Swarm Research",};
                I work at the intersection of quantum computing, reinforcement learning, and computer vision — shipping real research and production-grade systems, not toy demos. I lead Synthica, a student-run international research org, and founded Vantage Point Learning, a STEM nonprofit serving 400+ students across five schools.
                🔬 Research
                • Adaptive Variational QEC Decoder — CNN-routed syndrome decoder with 18.4% avg LER improvement, 27.2% peak
                • Reward shaping for nonlinear control — novel Lyapunov Satisfaction Rate (LSR) metric, PPO/SAC/LQR baselines
                • MARL Drone Swarm — CTDE architecture with emergent role specialization across two competing teams
                ⚙️ Engineering
                • PureGrad — autograd + backprop engine from scratch in NumPy, 99.7% acc, 19/19 tests
                • Drone Visual Tracking — YOLOv8 + SAC agent deployed on real drone hardware via MAVSDK/PX4
                • FTC Analytics Dataset — 53 events, 1,762 matches, OPR/ELO metrics, Kaggle published (88.69% acc)
                tech_stack
                PyTorchGymnasiumStable--Baselines3OpenCVYOLOv8MediaPipe
                PennyLanestimpymatching
                MuJoCoPyBulletMAVSDK
                PythonC++CUDAJava
                ReactTypeScriptSupabaseNode.js
                featured
                ⚛️ Adaptive Variational QEC Decoder
                
Real-time noise classifier routing syndrome data to specialized variational quantum decoders. 18.4% avg LER improvement, 94.2% classifier accuracy.
                PennyLanePyTorchstimpymatching
                → repo
                🤖 MAPPO Drone Swarm (MARL)
                
Centralized Training Decentralized Execution swarm — two competing teams of three drones with emergent role specialization.
                PyTorchPyBulletGymnasium
                → repo
                🧠 PureGrad — Autograd from Scratch
                
Full deep learning framework in pure NumPy. Dynamic DAG, reverse-mode autodiff, MLP, optimizers. 99.7% acc, 19/19 tests.
                PythonNumPyAutodiff
                🌐 Vantage Point Learning
                
STEM nonprofit platform with real-time volunteer feed, atomic claim logic, Google OAuth/PKCE. Serving 400+ students across San Jose & Asia.
                ReactSupabaseTypeScript
                → live · → repo
                github_stats
                "Sometimes the best way to solve a problem is to help others." — Uncle Iroh

                
Pinned
Loading
                1. car_neural_diff_learningcar_neural_diff_learningPublic
                  Python
                2. puregradpuregradPublic
                  Python
1

                3. ftc-analytics-datasetftc-analytics-datasetPublic
                  
A clean, structured dataset of FIRST Tech Challenge (FTC) match results (2018-19 through 2023-24), with OPR metrics and ML benchmarks for win prediction and alliance strength.

                  Python
                4. opponent-modeling-marlopponent-modeling-marlPublic
                  
Multi-agent reinforcement learning with opponent modeling: PPO agents with GRU/Transformer opponent models, curriculum learning, past-self evaluation, and comprehensive analysis tools

                  Python
                5. variational-qec-decodervariational-qec-decoderPublic
                  Python
                
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                  Achievements
                  Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark
                  
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                  kaivalya-cyber/README.md
                  Kaivalya Singh
                  Typing SVG
                  LinkedInInstagramPortfolioEmail
                  Profile Views
                  whoami
                  constkaivalya={school : "Evergreen Valley High School · Class of 2028",orgs : ["Founder @ Synthica (RL/ML Research)","Founder @ Vantage Point Learning"],focus : ["Quantum Computing","Reinforcement Learning","Computer Vision"],stack : ["PyTorch","PennyLane","MuJoCo","Gymnasium","OpenCV"],building : "Adaptive Variational QEC Decoder + MARL Drone Swarm Research",};
                  I work at the intersection of quantum computing, reinforcement learning, and computer vision — shipping real research and production-grade systems, not toy demos. I lead Synthica, a student-run international research org, and founded Vantage Point Learning, a STEM nonprofit serving 400+ students across five schools.
                  🔬 Research
                  • Adaptive Variational QEC Decoder — CNN-routed syndrome decoder with 18.4% avg LER improvement, 27.2% peak
                  • Reward shaping for nonlinear control — novel Lyapunov Satisfaction Rate (LSR) metric, PPO/SAC/LQR baselines
                  • MARL Drone Swarm — CTDE architecture with emergent role specialization across two competing teams
                  ⚙️ Engineering
                  • PureGrad — autograd + backprop engine from scratch in NumPy, 99.7% acc, 19/19 tests
                  • Drone Visual Tracking — YOLOv8 + SAC agent deployed on real drone hardware via MAVSDK/PX4
                  • FTC Analytics Dataset — 53 events, 1,762 matches, OPR/ELO metrics, Kaggle published (88.69% acc)
                  tech_stack
                  PyTorchGymnasiumStable--Baselines3OpenCVYOLOv8MediaPipe
                  PennyLanestimpymatching
                  MuJoCoPyBulletMAVSDK
                  PythonC++CUDAJava
                  ReactTypeScriptSupabaseNode.js
                  featured
                  ⚛️ Adaptive Variational QEC Decoder
                  
Real-time noise classifier routing syndrome data to specialized variational quantum decoders. 18.4% avg LER improvement, 94.2% classifier accuracy.
                  PennyLanePyTorchstimpymatching
                  → repo
                  🤖 MAPPO Drone Swarm (MARL)
                  
Centralized Training Decentralized Execution swarm — two competing teams of three drones with emergent role specialization.
                  PyTorchPyBulletGymnasium
                  → repo
                  🧠 PureGrad — Autograd from Scratch
                  
Full deep learning framework in pure NumPy. Dynamic DAG, reverse-mode autodiff, MLP, optimizers. 99.7% acc, 19/19 tests.
                  PythonNumPyAutodiff
                  🌐 Vantage Point Learning
                  
STEM nonprofit platform with real-time volunteer feed, atomic claim logic, Google OAuth/PKCE. Serving 400+ students across San Jose & Asia.
                  ReactSupabaseTypeScript
                  → live · → repo
                  github_stats
                  "Sometimes the best way to solve a problem is to help others." — Uncle Iroh

                  
Pinned
Loading
                  1. car_neural_diff_learningcar_neural_diff_learningPublic
                    Python
                  2. puregradpuregradPublic
                    Python
1

                  3. ftc-analytics-datasetftc-analytics-datasetPublic
                    
A clean, structured dataset of FIRST Tech Challenge (FTC) match results (2018-19 through 2023-24), with OPR metrics and ML benchmarks for win prediction and alliance strength.

                    Python
                  4. opponent-modeling-marlopponent-modeling-marlPublic
                    
Multi-agent reinforcement learning with opponent modeling: PPO agents with GRU/Transformer opponent models, curriculum learning, past-self evaluation, and comprehensive analysis tools

                    Python
                  5. variational-qec-decodervariational-qec-decoderPublic
                    Python