About me
My story with building and AI
I fell in love with web development in my Information Systems classes at NJIT. I still remember being proud of the first site I ever built — it had animations, gradient backgrounds, all the bells and whistles. But I always had more ideas than I could execute. Debugging took time. Getting things to look right took time. The gap between what I imagined and what I could ship felt frustrating and limiting.
When AI blew up, everything changed. I built a site that looked miles better than anything I'd made before, in a fraction of the time. Less debugging. Less friction. That was the moment things clicked. I started going deeper — prompt engineering, agentic workflows, model context protocol, spec-based development. Spec-based dev in particular changed how I work. It's the most efficient way I've found to get the most out of Claude. You define what you want precisely, you include examples, you be explicit about constraints and format — and Claude executes. That loop is what I build around now.
I've built things with the Anthropic SDK, integrated Claude's web search for real-time job listings, used LangChain for agentic pipelines, and experimented with everything from Model Context Protocol to voice-controlled blogging. Every project taught me something about how AI actually works in practice, not in theory.
What drives me is simple: I want to build things that give people more breathing room. Tools that automate the tedious parts so you can focus on what actually matters. That's the kind of work I want to keep doing. Not flashy dashboards. Not over-engineered solutions. Just tools that work, that fit into how people actually operate.
I'm graduating from NJIT in May 2026 and I'm looking for FDE and AI Engineer roles where I can keep building at this level. If you're working on something interesting, let me know.
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