20_Angad Dabholkar

I’m a product-focused creative technologist and third-year Computer Science undergraduate who builds working product prototypes and AI agent demos—not just concepts. I blend my CS foundation (OOP, DBMS, software engineering, networking) with hands-on product practice like problem framing, AS-IS/TO-BE process mapping, user stories, and KPI-driven iteration.

I recently built AI agents using Google ADK, FastMCP, and AlloyDB, and I’m actively studying agentic AI evaluation methods including LLM-as-a-Judge. I care about making agent behavior measurable and dependable—so what I ship can be improved quickly with clear success metrics.

In my AI & product projects, I led end-to-end system design for a QR-based patient identity platform (MEDILINK), reducing onboarding time from ~10 minutes to under 15 seconds and delivering four role-scoped interfaces. I also built a working transit-routing AI agent using Google Agent Development Kit (ADK), FastMCP, and AlloyDB, gaining hands-on experience in agent orchestration, tool-calling, and database-backed agent memory patterns used in modern agentic workflows.

Alongside building, I ship through iteration and feedback: I applied Python and LLM-based conversational analytics tools as a Data Analytics Intern across real-world case studies, and I deliver structured milestone submissions under mentor evaluation. As a Freelance Creative Technologist, I created an AI-generated lifestyle photography prompt system for catalog production and built/priced design service offerings with defined scopes and deliverables.