Product Manager Intern @ IBM · Computer Science + Statistics @ UIUC
I build AI systems end-to-end, taking products from zero to one and owning the full stack from UX architecture and prototyping through to implementation.
Right now I'm a PM intern at IBM working on agentic AI for Asset Lifecycle Management, and I lead a 9-person engineering team at Illinois Business Consulting.
I'm most excited about vertical AI and making agents more trustworthy through governed context: giving agents the right information with the right guardrails so they can be trusted to act.
- ELeet — a live, voice-to-voice AI mock-interview platform for technical interviews. Grew to 80+ users organically.
- Friday — a personal AI voice assistant with wake-word detection, proactive triggers, and a persistent user profile.
- Apollo — an agentic system that designs, generates, and deploys its own MCP tools on the fly (HackIllinois 2026).
- Learnable — turns course materials into narrated, animated video lectures using LLMs + ManimGL.
| Area | Tools |
|---|---|
| Languages | Python, Java, C, C++, TypeScript, JavaScript, SQL, R |
| Frontend | React, Tailwind CSS, HTML, CSS |
| Backend | Node.js, FastAPI, Flask |
| AI / ML | PyTorch, LangChain, NumPy, Pandas, SciPy, Plotly |
| Cloud & DevOps | Docker, Kubernetes, AWS, Google Cloud, Git |

