I'm a Computer Science student specializing in AI & Machine Learning — a backend developer who builds the systems that power intelligent products.
I design and ship production-grade backends: RAG pipelines, LLM-powered APIs, real-time data systems, and deep learning services that solve real problems at scale.
- 🔭 Currently building AI-powered backend systems for document intelligence and trust & safety
- 🧠 Deep into RAG architectures, LLM reasoning, streaming APIs, and model serving
- ⚡ My stack: Python → FastAPI → Docker → Firebase → Ship it
- 🌱 Always learning: vector databases, async Python, distributed systems, MLOps
- 🎯 Goal: Build backend AI infrastructure that makes a measurable real-world impact
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🧠 AI / ML
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⚙️ Backend
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🗄️ Data & Infra
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🚀 DevOps & Cloud
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💡 What makes these projects stand out
| Project | What's Special |
|---|---|
| CROWDIQ | Real-time stadium crowd management — attendee navigation, queue monitoring, emergency routing, admin analytics |
| AskMyPDF | Full RAG pipeline — PDF upload → chunking → vector search → streamed, citation-backed LLM answers |
| Carbon Footprint | Complete sustainability platform — activity logging, CO2e math, personalized reduction insights |
| Electra | Civic education across UK/USA/India — voter registration, eligibility checks, polling locator |
| TruthLens | LLM-powered misinformation detection — source credibility, real-time web corroboration |
| AI Voice Detection | Multi-language voice analysis (EN/HI/TA/TE/ML) — acoustic feature extraction, calibrated scoring |
🔬 Real Problem → 🧠 AI/ML Layer → ⚙️ FastAPI Backend → 🗄️ Data / Vector Store → 🚀 Production API
I don't build demos. I build products. Every project starts with a real problem and ends with something people can actually use. AI is the engine, not the gimmick.