Noor Rattan
FastAPI RAG Systems LLM Apps Python Deep Learning Docker
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FastAPI RAG Systems LLM Apps Python Deep Learning Docker
GitHub LinkedIn Email
Profile views
I'm a Computer Science student specializing in AI & Machine Learning β 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.
- π Currently building AI-powered backend systems for document intelligence and trust & safety
- π§ Deep into RAG architectures, LLM reasoning, streaming APIs, and model serving
- β‘ My stack: Python β FastAPI β Docker β Firebase β Ship it
- π± Always learning: vector databases, async Python, distributed systems, MLOps
- π― Goal: Build backend AI infrastructure that makes a measurable real-world impact
π‘ What makes these projects stand out
| Project | What's Special |
|---|---|
| CROWDIQ | Real-time stadium crowd management β attendee navigation, queue monitoring, emergency routing, admin analytics |
| AskMyPDF | Full RAG pipeline β PDF upload β chunking β vector search β streamed, citation-backed LLM answers |
| Carbon Footprint | Complete sustainability platform β activity logging, CO2e math, personalized reduction insights |
| Electra | Civic education across UK/USA/India β voter registration, eligibility checks, polling locator |
| TruthLens | LLM-powered misinformation detection β source credibility, real-time web corroboration |
| AI Voice Detection | Multi-language voice analysis (EN/HI/TA/TE/ML) β acoustic feature extraction, calibrated scoring |
π¬ Real Problem β π§ AI/ML Layer β βοΈ FastAPI Backend β ποΈ Data / Vector Store β π 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.