Hi, I'm Ritvik! I'm an AI & Machine Learning Engineer who loves translating complex algorithms into real-world applications.
Instead of just training models in a sandbox, I focus on the entire pipeline—from engineering hyper-realistic synthetic datasets for YOLOv8 vision models to deploying interactive full-stack AI interfaces backed by explainable metrics (SHAP).
🎯 Always experimenting with custom computer vision workflows and autonomous agent logic. Let's build something cool.
📬 Reach me at: ritvikrajs99@gmail.com
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An end-to-end AI system to detect microscopic defects on semiconductor wafers. This project showcases a full development cycle, from creating a hyper-realistic synthetic dataset to deploying a robust YOLOv8 model. View Repository • View Live Deployment → |
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A strategic forecasting tool using a hybrid Quantum-AI architecture to simulate the impact of complex crises on Maharashtra's agriculture. It leverages Qiskit for simulation and Google Gemini for AI-driven strategic analysis. View Repository • View Live Deployment → |
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An end-to-end predictive ML system for agriculture optimization. Achieved an R² score of 0.9558, utilizing SHAP (Shapley Additive exPlanations) for model transparency, integrated with a multilingual LLM advisory agent for real-time farmer support. View Repository • View Live Deployment → |
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🤖 Artificial Intelligence & LLMs |
⚛️ Quantum Foundations |
📊 Core Machine Learning |
🌐 Deployment & Interaction |



