AI and ML-focused Computer Science undergraduate building end-to-end intelligent systems — from RAG pipelines and LLM chatbots to computer vision platforms — with real, measurable impact.
I'm an AI & Machine Learning-focused Computer Science undergraduate with hands-on experience building, deploying, and optimizing end-to-end AI systems — including Retrieval-Augmented Generation (RAG) pipelines, LLM-powered chatbots, and computer vision platforms.
My journey into technology began with a deep curiosity about how machines can learn and adapt. That curiosity has since evolved into production-grade expertise across NLP, vector databases, LangChain, and full-stack AI development. I don't just build models — I ship complete systems that create measurable business impact.
Beyond engineering, I actively contribute to open-source, participate in AI hackathons, and mentor fellow developers. I believe the best engineers are lifelong learners who build things that truly matter.
AI-powered learning platform that delivers curated resources, Gemini-generated summaries, and an integrated code editor — eliminating context-switching friction in technical education.
RAG-based chatbot answering college queries for students and parents using verified institutional data. Built an end-to-end pipeline: web scraping → chunking → ChromaDB embeddings → LLM response generation.
ML-based fraud detection system verifying user identity through keystroke dynamics and location data — achieving high accuracy distinguishing genuine users from fraudulent ones in real time.
Google — Coursera
May 2024Google Cloud
Apr 2024Data Structures & Algorithms in Python
OngoingAcademic Excellence, VVITU
2022 – Presentkalyansai0909@gmail.com
+91 73867 24743
Innovation is seeing what everybody has seen and thinking what nobody has thought.
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