π AI / ML
π¬ Interested in on-device AI, speech processing, and LLM engineering
π 2x Hackathon Β· GSSOC'25
I build privacy-first, locally-run AI tools β no cloud dependency, no API keys, just models that work offline on your machine.
- ποΈ Smart Meeting Summarizer β faster-whisper + local LLM pipeline that transcribes any audio/video and outputs structured notes, action items, and email drafts. 100% offline.
- π¬ Financial RAG Chatbot β deep learning chatbot fine-tuned on domain-specific data using retrieval-augmented generation
- π Voice Transcriber β on-device Whisper transcription with local AI cleanup, complete privacy
Languages
AI / ML
Web & Backend
Tools & Platforms
Data
Stanford Code in Place Β· NVIDIA Deep Learning Institute Β· Columbia+ Prompt Engineering Β· McKinsey Forward Β· Salesforce Agentforce Specialist Β· OpenCV University (PyTorch + OpenCV)


