Final year CS student specializing in AI, ML, and Data Science. I build practical systems — from RAG pipelines and multi-agent frameworks to full-stack apps and IoT solutions — with a focus on being useful, scalable, and user-driven.
// About Me
I'm a Computer Science student at a B.Tech program, specializing in Artificial Intelligence and Data Science. My passion lies at the intersection of intelligent systems and real-world impact — building things that are both technically rigorous and genuinely useful.
I'm particularly drawn to applied AI research, multi-agent systems, and full-stack development. I enjoy the challenge of taking an idea from concept to deployment — whether that's a RAG system, an IoT solution, or a research paper submitted to IEEE.
When I'm not coding, I'm exploring new research, writing on my blog, or sharpening competitive programming skills. I'm actively seeking internship opportunities where I can contribute meaningfully and grow rapidly.
// Education
// Experience
Building an on-prem enterprise RAG assistant — a FastAPI gateway routing to specialized agents (general chat, document RAG, enterprise tools) across a 7-container distributed stack (Postgres, Redis, MinIO, Qdrant, Ollama, API, Open WebUI). Responsible for end-to-end backend architecture including REST API design, JWT auth, ABAC-based access control enforced at retrieval time, and Docker multi-compose orchestration. On the AI side, designed the hybrid retrieval pipeline (dense + BM25 with RRF), cross-encoder reranking, citation-grounded generation, evidence-based query routing, and RAGAS-based evaluation framework. ~10k LOC, 116+ commits, 2 months into a 6-month build.
// Projects
// Open Source
// Research
A real-time acoustic monitoring system that detects gunshots and identifies forest animal species using Mel-spectrogram audio features, VGG16 transfer learning, and an SVM classifier. The framework delivers accurate, scalable, and resource-efficient environmental surveillance for biodiversity monitoring and anti-poaching applications.
View on IEEE Xplore// Credentials
// Writing
From deep-dives into LLM architectures to practical tutorials and reflections on building real-world AI systems — I share what I learn along the way.
Read My Blog// Tech Stack
// Get In Touch
I'm actively looking for internships, research collaborations, and interesting projects. Whether you have a role, a cool problem, or just want to chat about AI — feel free to reach out.