I’m an engineer focused on building intelligent systems that turn complex technical ideas into simple, usable products. My work sits at the intersection of AI, data, and software execution—where understanding a problem deeply matters just as much as building it correctly. Veridia reflects how I approach projects: identify real workflows, design with clarity, and engineer systems that actually deliver value in practice.
I graduate in May 2026 with a B.S. in Physics and in December 2026 with an M.E. in Applied Artificial Intelligence. I am looking for opportunities across AI engineering, machine learning, and applied AI.
What I Built
I built Veridia as a focused AI workspace for STEM students who need clearer problem solving, better explanations, and cleaner outputs. That meant shaping the product from end to end: workflow design, AI model selection and integration, prompt behavior, frontend and backend implementation decisions, threaded conversations, analytics, usage controls, and the math-rendering and UX details that make the experience usable instead of frustrating.
Execution Story
I had the idea for Veridia for a while and made multiple attempts to build a version I actually liked. The turning point came after I found the Codex challenge on Handshake. Codex accelerated execution, iteration, and debugging, but it did not replace engineering judgment. I knew what I wanted to build, how I wanted it to work, and used AI tooling as leverage to turn that into a real product faster.
What I Work On
I am especially interested in building intelligent systems that have to work under real constraints: clear interfaces, reliable backend behavior, good user feedback loops, and outputs that are actually understandable. The part I enjoy most is taking a messy problem, designing a strong workflow around it, and then implementing the details well enough that the product feels coherent.
What I'm Looking For
I am seeking roles in AI engineering, machine learning, and applied AI, especially on teams building real-world products rather than demos. I want to work on systems that combine model capability, sound engineering, and product clarity.
Interests
That includes AI engineering, engineering more broadly, training and developing models, and the product and infrastructure work required to make those systems useful. I am drawn to work that combines technical depth with practical execution.