Dual-degree AI/ML and Data Science student building end-to-end machine learning and agentic AI systems from RAG pipelines and LLM-powered analytics to production-grade FastAPI services.
I am pursuing a B.Tech in Computer Science (AI & ML)at KIET Group of Institutions alongside a BS in Data Sciencefrom IIT Madras.
My work focuses on designing and deploying real-world AI systems — including agentic workflows, LLM-powered analytics engines, and real-time ML applications — with an emphasis on performance, interpretability, and scalability.
I am particularly interested in building systems from first principles, optimizing inference latency, and integrating AI into production environments rather than isolated prototypes.
Selected work spanning agentic AI, LLM systems, and machine learning from scratch.
Real-time AI voice interview simulator with dynamic question generation, interruption handling, and post-interview feedback analysis.
React · Flask · Gemini API · ElevenLabs · Web Speech API
Machine learning library built from scratch implementing classical and neural models including CNNs, RNNs, LSTMs, Hopfield Networks, and LeNet.
NumPy · PyTorch · Matplotlib
Computer vision system predicting confidence levels from live webcam input using a CNN built on ResNet.
PyTorch · OpenCV · Hugging Face Spaces
Aug 2025 – Dec 2025
Contributed to agentic AI systems for large-scale research workflows, built CDN-integrated AI assistants, enhanced conversational systems for neuroscience research, and developed FastAPI-based analytics dashboards with integrated MCP chatbots.