B.Tech CSE (AI & ML) student at Manipal Institute of Technology with a strong interest in:
- Artificial Intelligence & Machine Learning
- Full Stack Development
- GenAI Engineer
- Computer Vision
- Distributed Systems
- Large Language Models (LLMs)
- CGPA: 9.3/10
- Achiever Scholarship Recipient (Top 5% at MIT Manipal)
- Solved 300+ LeetCode problems
- Building AI-powered full-stack applications
- Interested in scalable ML systems, RAG pipelines, and backend engineering
PythonJavaCC++JavaScriptSQLGo
Machine LearningDeep LearningPyTorchTensorFlowScikit-learnKerasComputer VisionNLPRAGLLMsCUDANumPyPandas
ReactNode.jsExpress.jsFastAPIFlaskDjangoREST APIsJWT AuthHTMLCSS
AWSGoogle CloudApache SparkPySparkHadoopDistributed SystemsETL Pipelines
MongoDBPostgreSQLSQLiteNoSQL
GitDockerKubernetesLinuxVS CodeIntelliJStreamlitColab
Full-stack visual AI workflow orchestrator allowing users to dynamically construct and execute multi-step pipeline DAGs.
Next.js 15 • React Flow • LLM • RAG • PostgreSQL • Gemini
- Drag-and-drop interactive canvas
- State management and real-time telemetry
- Event-driven backend execution
- Retrieval-Augmented Generation (RAG) pipeline
Agentic Business Intelligence platform using LangGraph to transform datasets into insights.
LangGraph • PostgreSQL • Python • Pandas • FastAPI
- Multi-agent workflow with human-in-the-loop approval
- State management and PostgreSQL checkpointing
- Secure Python execution sandbox for automated data analysis
- RAG and semantic memory using text embeddings
Containerized full-stack marketplace platform with AI-powered service discovery.
Django • PostgreSQL • Docker • Gemini API
- Conversational AI chatbot
- Transaction-safe booking workflows
- RBAC implementation
- Dockerized deployment
RAG-based research assistant that allows users to upload PDFs and perform context-aware semantic search and question answering.
React • Node.js • MongoDB • Gemini Embeddings • RAG
- Semantic retrieval over 100+ page PDFs
- Chunked vector search pipeline
- Real-time query processing
- Sub-second response latency
AI-powered fashion understanding pipeline using object detection, segmentation, and LLM-powered recommendations.
YOLOv8 • EfficientNet • PyTorch • FastAPI • OpenRouter
- Multi-object garment segmentation
- 15+ clothing categories
- Agentic shopping recommendations
- ~78% mAP validation performance
Secure payment platform with fraud detection and encrypted transaction handling.
Flask • MongoDB • AES-256 • Machine Learning
- ML-based fraud detection
- AES-256 encryption
- Concurrent transaction handling
- Role-based authentication
Distributed log analysis system using PySpark to process web server access logs with an interactive AI-powered dashboard.
PySpark • Streamlit • Python • Plotly • Gemini API
- Distributed data processing pipeline using Apache Spark
- Interactive log explorer and visualization dashboard
- Statistical anomaly detection for server requests
- AI-powered log insights and summarization via Gemini
- Achiever Scholarship Recipient (Top 5%)
- Finalist — MIT Open Coding Challenge
- 250+ LeetCode Problems Solved
- Google Cloud Digital Leader Certified
- LinkedIn: www.linkedin.com/in/kushagra-gupta-8861663a0/
- GitHub: github.com/KushagraB424
- Email: kushagrab424@gmail.com
- GitLab: https://gitlab.com/kushagrab424
- Leetcode: https://leetcode.com/u/KushagraB424/
Always open to collaborating on AI, ML, backend, and open-source projects.











