Machine Learning Engineer | Data Scientist
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My journey began with Python and curiosity, and today, I build end-to-end AI solutions that turn complexity into clarity.
Most recently, I led the development of MediMind, an LLM-powered medical report analyzer that summarizes, interprets, and explains medical data using LangChain, Gemini API, and Streamlit—turning intimidating health jargon into actionable insights for everyday users.
I’m not just building apps—I’m building experiences that blend Prompt Engineering, LLMs, and human empathy. Whether it’s through a voice-enabled GenAI interface or a multilingual chatbot, I ensure the AI speaks like a human, not a robot.
Beyond code, I bring a builder’s mindset—focused, adaptable, and obsessed with turning knowledge into impact.
If you're looking for someone who can not only design scalable ML systems but also make AI feel real, usable, and human—I’d love to connect.
📩 Let’s build something meaningful—reach out for collaborations, roles, or just an idea exchange!
🔹 Engineered a full-stack AI tool using LangChain, Streamlit, and Gemini to automate medical report summarization, reducing manual interpretation time by over 80% for non-clinical users.
🔹 Designed a document ingestion pipeline using PDF parsers and metadata extractors, enabling structured analysis of diverse medical file formats (PDF, TXT, CSV) with seamless integration.
🔹 Conducted prompt performance optimization and experimentation, improving output relevance while reducing LLM usage cost.
🔹 Developed an interactive Streamlit interface with modular navigation, real-time Q&A, and summary generation—delivering a smooth end-user experience with 100% functional coverage from upload to interpretation.
Completed Under Graduation at Holy Mary Institute of Technology and Science in Computer Science specialized in Artificial Intelligence and Machine Learning.
Activities and societies: I won 1st prize in a highly competitive Technical Paper Presentation at our college’s technical fest.
