Uday Hese

I’m a full-stack & AI developer with strong knowledge of artificial intelligence and deep learning, focused on turning real-world workflows into intelligent, reliable systems. I enjoy building scalable platforms, wiring APIs that perform under pressure, and iterating quickly with modern frameworks.

As a software developer intern, I built and deployed a CRM using Flask and Supabase, including automated lead assignment and email notifications. I also developed EPIC Toyota CRM 2.0 with Next.js and FastAPI, delivering role-based dashboards and real-time updates. To ensure scalability, I ran load and stress testing with Locust and resolved performance bottlenecks.

My projects reflect my interest in agentic and interactive AI: I created an agentic AI meeting scheduler using LangFlow, LLM agents, Google Calendar API, and Composio with validation, conflict handling, and automated event creation. I also built an AI-embedded email studio that generates real-time HTML via an LLM interface, with secure Gmail OAuth and Supabase-based image storage.

I deploy and productionize: for example, I cloud-deployed a MediaPipe-based dance movement analyzer on AWS EC2 using Dockerized FastAPI services. I’ve earned a Rank 1 recognition in a Smart India Hackathon internal college round, and I’m actively seeking opportunities to grow, learn advanced technologies, and contribute to impactful engineering teams.