AI infrastructure / agent systems / useful products
i'm an AI engineering student at penn state, currently working on infrastructure and platform systems at Cisco (opens in a new tab) in san francisco.
outside work, i ship agent protocols, developer tools, research demos, and small products people can actually open.
selected proof
01 / infrastructure simulation
deterministic, model-aware fixtures let production collection paths exercise firmware, optics, management interfaces, counters, and hardware sensors before touching physical systems.
7 engineers coordinated / planned timeline reduced 60%
02 / agent contracts
a small, open format that gives agent work an objective, permission boundary, acceptance criteria, and proof of done across Codex, Claude Code, Cursor, MCP, and A2A.
open intentfile (opens in a new tab)
03 / medical imaging research
a retinal scan research demo combining an existing classifier, Grad-CAM++ region highlighting, and structured draft reports while keeping uncertainty and the human role explicit.
open the research demo (opens in a new tab)experience
Technical Intern, AI Infrastructure & Platform Systems
Extended a production infrastructure simulator across switches, managed servers, and BMCs; coordinated generic-server support with 7 engineers and cut the planned timeline by 60%.
Jun 2026 - Sep 2026
AI/LLM Intern
Built three internal AI products, a unified MCP server, and an operations portal using React, FastAPI, and PostgreSQL.
Jun 2025 - Aug 2025
Founder
Built AI-assisted sourcing and pricing workflows and scaled the operation to about $30K in annual revenue.
Jan 2025 - Mar 2026
the archive
browse 32 public builds across agent systems, AI research, developer tools, products, and experiments. older work remains available without competing with the current focus.
contact
building infrastructure, agent systems, or a useful tool? email .