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Typing SVG

$ cat profile.md

> building production AI — not notebook demos
> RAG pipelines · real-time vision · rust cli tooling · multi-agent systems
> if it doesn't ship, it doesn't count

I teach LLMs to stop hallucinating and cameras to catch what humans miss — then I package the whole thing in Docker before anyone asks "but does it work in production?" Yes. It does.

Final-year engineer who treats cargo build and pip install with equal reverence. Currently juggling three projects across three languages because apparently one existential crisis at a time wasn't enough. My RAG pipelines cite their sources better than most research papers, my YOLO models detect threats described in plain English, and my Rust CLI ships binaries that don't need a Python interpreter to breathe.




Currently Building

🔶 SQL RAG Pipeline

DEPLOYING

Natural-language-to-SQL retrieval system with hybrid dense + sparse search, cross-encoder reranking, and semantic chunking — source-grounded answers over structured databases with minimal hallucination.

LangChain FAISS SQL Transformers

🟢 Rust CLI Test Builder

SHIPPING

High-performance CLI tool for generating, scaffolding, and orchestrating test suites with built-in CI/CD pipeline generation. Full test builder pattern with cargo test integration, linting, and cross-platform binary releases.

Rust Clap GitHub Actions CI/CD

🔵 AI Code Review Auditor

DESIGNING

Autonomous code review orchestration system — multi-agent architecture that analyzes PRs, identifies security vulnerabilities, suggests refactors, and validates behavior through deterministic checks and LLM reasoning.

LLM Agents Orchestration AST Analysis

Tech Stack

Languages

Python Rust TypeScript SQL C++ Bash

AI / LLM

PyTorch TensorFlow LangChain HuggingFace FAISS Scikit-learn

Vision

YOLOv8 YOLO-World Grounding DINO OpenCV

Infra & DevOps

Docker Kubernetes GitHub Actions Linux NestJS MongoDB




Experience

AI Developer Intern · Codeacious Technologies · Dec 2025 – May 2026

  • Shipped real-time AI surveillance platform — open-vocabulary anomaly detection over live streams, threats defined in natural language, zero retraining
  • Engineered production RAG pipeline — FAISS dense + sparse retrieval, cross-encoder reranking, semantic chunking for grounded LLM responses
  • Built multi-LLM agent desktop app — TypeScript/Electron, sandboxed agents, Claude API, connected to Slack/Notion/GitHub
  • Containerized full stack — Docker/Kubernetes, n8n alert automation, benchmarked YOLOv8/YOLO-World/Grounding DINO
  • Delivered NestJS + MongoDB monitoring dashboard with React frontend



Credentials

🏆 Microsoft Hackathon Finalist — Hackathons Ignite 2025, Gautam Buddha University
🎓 B.Tech IT · 8.48 CGPA — Gautam Buddha University (Expected 2026)
📜 Certifications — SQL (HackerRank) · Python & Pandas (Kaggle) · Power BI · ML A-Z · Statistics for DS



GitHub at a Glance

⏰ When I Code Early bird 🐤 — most commits before noon
📅 Most Productive Day Wednesday — peak commit velocity mid-week
🔥 Primary Language Python — 70%+ of all repositories
🧠 Focus Areas RAG Systems · Computer Vision · Rust CLI · AI Agents
🚀 Current Status 3 active projects — deploying, shipping, designing
📦 Repositories 28+ public repos across AI, ML, NLP, and full-stack

GitHub Stats Top Languages



GitHub Streak



Contribution Graph



Contribution Snake



Engineering Philosophy

Boring tech. Sharp tools. Honest systems.

Local-first when possible. Dockerized when not. Always version-controlled.

If it doesn't ship, it doesn't count.


Interested in AI systems, developer tooling, or building something real?

Contact



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