AI Engineer | Building LLM-powered products
I build end-to-end AI systems — RAG pipelines, LLM chatbots, and intelligent APIs that solve real business problems. 3rd year AI/ML student at BMSCE, Bangalore.
I'm an AI Engineering student at BMSCE with a bias toward action — I learn by building real things and shipping them. My focus is on LLM pipelines, RAG systems, and intelligent APIs that solve actual problems for real users. Currently building in public and open to internships and freelance projects.
Streaming news pipeline with Kafka + Dask, VADER sentiment analysis, source credibility scoring, trend velocity, and deduplication. Built with Flask and spaCy.
Intelligent patient monitoring system using Retrieval-Augmented Generation. Processes medical data and enables natural language querying of patient vitals and history.
Domain-specific AI chatbot built with LangFlow, Groq API, and LLaMA 3.1. Designed to answer queries specific to Karnataka government services and information.
RAG-powered chatbots trained on your business documents — PDFs, websites, knowledge bases. Your customers get instant, accurate answers 24/7.
Connect OpenAI, Groq, or open-source LLMs to your existing product or workflow. Custom pipelines built with LangChain and Flask.
Real-time data processing with NLP — sentiment analysis, entity extraction, trend detection. Built for scale with Kafka and Dask.
Open to internships, freelance projects, and collaborations.