At Grow Medico, I built a production-ready AI voice receptionist that handles patient calls, with sub-500ms response latency through a direct speech-to-speech pipeline.
I designed a SQLite schema for patient records, appointments, and doctor profiles, and used LLM function calling and prompt engineering to support booking workflows. I also automated booking confirmation emails to doctors and patients through calendar integration.
At League11, I developed REST APIs and frontend interfaces using Django, Python, and Next.js. SQL-based data validation improved accuracy by 25%, and my backend performance analysis contributed to a 30% reduction in page load time and a 15% increase in organic traffic.
In my projects, I built a PySpark pipeline to analyze more than 100K customer reviews and generate business insight summaries with a Groq LLM. I also analyzed Olympic data with PostgreSQL and created a movie sentiment classifier that reached 86% accuracy.
