I design and build end-to-end AI systems — from RAG architectures and fine-tuning language models to multimodal pipelines that turn speech, images and text into useful products.
Bengaluru · Open to internships, collaborations & hackathons
I'm a Computer Science student with a focus on machine learning and AI. I've fine-tuned domain-specific LLMs, built finance and speaker-analysis products, and shipped them as working systems — not just demos.
My strengths are turning complex ideas into functional, deployable applications on GitHub and Hugging Face, and working naturally across speech, vision and text data.
Main interests
VS Code extension using local LLMs with a GraphRAG architecture to maintain code context — indexes dependencies across 2,000+ lines without cloud APIs.
Dual-stack finance tracker with an Android app that parses 800+ UPI transactions, FIFO cash-flow attribution and an LLM-powered budgeting assistant.
Multimodal speaker-identification pipeline integrating TalkNet, InsightFace, WhisperX and Mistral-7B, with automated speaker-specific clip extraction.
Offline GraphRAG pipeline that builds a knowledge graph and generates formal security audit reports as Markdown and PDF.
Sri Ramakrishna Engineering College, Coimbatore
2023 – 2027 · AI & ML Honours (pursuing)
12th — Seshadripuram Composite PU College (2021)
10th — Narayana E-Techno School (2019)
Special Prize Winner, College Hackathon — MediScribe AI. Built an offline-first clinical system with real-time doctor-patient dialogue transcription and zero-cloud NFC cryptographic key derivation for emergency medical records.
Participated in multiple hackathons, building AI products under tight deadlines.