Avionics, embedded systems, and practical AI
My favorite problems live at the edge of code and hardware: flight software, navigation interfaces, computer vision, automation, and AI tools that make engineering work less messy.
What this site is really about
I like systems where the answer is not obvious at first. You have to read the old code, understand the interface, find the signal in the noise, and make the fix boring in the best possible way.
That thread runs through my avionics work, robotics project, manufacturing software, and AI tools: build a clear model, verify it, and leave the system easier to reason about than it was before.
Systems I keep coming back to
Flight software, AI tooling, and robotics all ask for the same thing: make the system easier to trust.
Flight software taught me to turn complex behavior into something testable.
Selected work
My current work at Collins Aerospace is the kind of engineering I like: old code, real constraints, a lot of interface details, and a product that has to behave predictably.
I led the software side of a six-person build that turned a normal foosball table into a computer-vision and motion-control problem.
I built this to understand the parts of RAG that actually matter: retrieval quality, chunking, citation grounding, and where hallucinations sneak in.
Technical depth
A short version of the habits underneath the projects.
Flight Software
In avionics work, I care about the unglamorous things that decide whether a change is trustworthy: timing, shared resources, interface assumptions, and tests that cover failure cases.
Reverse-engineer enough of the legacy system to avoid shallow fixes.
Validate message handling against interface requirements, including failure behavior.
Leave behind automation, reviews, and clearer coordination points.
M.S.E. Artificial Intelligence GPA at the University of Pennsylvania
Rutgers double major GPA: Computer Science and Mechanical Engineering, Aerospace Concentration
OpenAI research tasks reviewing technical and analytical model behavior
National Merit Scholar, Rutgers Presidential Scholar, Summa Cum Laude graduate
Contact
I’m especially interested in avionics, embedded systems, robotics, AI infrastructure, and tools that make engineering teams sharper.
