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About
I've been writing code since I was twelve and still can't leave a system alone once I've seen inside it. These days it's mostly AI infrastructure, retrieval that actually retrieves and agents that finish the job. I once trained a 100M-parameter model on four billion tokens of Reddit Hinglish to see if it could text like my friends. It could, mostly.
I use Arch btw.
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Experience
• Built the multimodal ingestion layer for PDFs, DOCX, images and audio using Docling and VLMs, hitting 94% field-extraction accuracy. • Shipped 3-stage context compression that keeps working memory under 8K tokens and cut LLM spend 54%. • Built the FastAPI backend, 35+ endpoints, and a LangGraph pipeline that turns pharma SOPs into lessons in 4 languages. • Sped up PDF parsing 150x with PyMuPDF and lesson generation 7x with asyncio.gather.
• Rebuilt production RAG into a 5-stage pipeline with HyDE and reranking. Eval quality went 4.12 to 8.93, latency 12s to under 5s. • Built an LLM-as-judge harness and ran 33 experiments across 12 rerankers, 3 embedding models and 5 architectures. • Cleaned an 85K-tutorial dataset, including a MathML-to-LaTeX converter and a 4-stage dedup pipeline. • Fine-tuned Qwen 3.5 (27B) into a persona tutor on 85K SFT and 30K preference pairs. Rubric score 48% to 87%.
• Built the full-stack C2 controller for a red-teaming framework over gRPC with mTLS and Protobuf, 40% smaller payloads, JWT and RBAC for 50+ operators. • Built an agentic, MCP-compatible red-teaming system on Qwen 2.5 (32B) with LoRA and RLHF, grounding and episodic memory. • Shipped an ML request filter that blocks 95%+ of malicious traffic, plus a RAG CVE-intel system that maps host fingerprints to known vulnerabilities. • Deployed the C2 on AWS EC2 with MongoDB and Docker isolation, behind Nginx, Cloudflare strict HTTPS and DNS redirectors. • The only intern offered a remote continuation. Came with a 28% stipend bump.
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• Built and debugged Express REST APIs handling 10,000+ requests a day, 40% faster responses. • Added JWT auth and RBAC across 5,000+ accounts. • Cut database query time 60% on the hot endpoints. • Built n8n automations and MCP servers with tool calling, state management and hallucination guardrails.
• Built core features for Samvadini, the Government of India's multilingual messaging platform. • Shipped an offline-first message queue with IndexedDB sync that cut failed deliveries 85%. WebSockets and Redis pub/sub kept it under 100ms. • Wired 20+ React Native screens to the backend and dropped page load from 3s to 0.75s. • Cut P95 API latency 47% with request tracing and N+1 fixes, and ran live MongoDB migrations on 100K+ docs with zero downtime.
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Recognition
First place at Smart India Hackathon 2025, out of 72,000+ participants, the largest hackathon in the country. We built Prashikshak, a national-scale testing platform for the NDMA.
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First place at Hacktivate 2025, against 1,200+ teams.
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Runner-up at the Level Super Minds Hackathon, out of 23,000+ participants.
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Runner-up at Brain Battles 2024, a national hackathon.
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Finalist at E-Summit 2025, a national hackathon.
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Finalist at Code of Phoenix 2025, a national hackathon.
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The highest grant the university awarded under its Capacity Building for Design and Entrepreneurship program, run by the E-Cell.
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