About Me

I started my career as a software engineer, but I quickly realized my true passion wasn’t just writing the code—it was defining what we build, why we build it, and who we build it for. Today, I am an AI-native product strategist pursuing my Tech MBA (Master of Science in Product Management) at Carnegie Mellon University’s Tepper School of Business.

I am obsessed with one question: How can AI transform the way we build and deliver value?

With a deep technical foundation in computer engineering and artificial intelligence, I’ve spent much of the past year identifying tangible use cases for agentic automation and large-scale AI in the enterprise. My focus is entirely on bridging the gap between industry hype and ROI-positive product implementations. From building RAG-based systems to optimizing LLM evaluations and multi-agent workflows, I am passionate about transitioning product lifecycles from manual oversight to highly reliable agentic systems.

While I love building intelligent platforms, my core philosophy always comes back to deep user empathy and scaled execution. Previously, I led the 0-to-1 development of the US Open digital platform, guiding 50+ member cross-functional teams and scaling a #1 industry-ranked fan experience to over 500k+ users. I’ve also leveraged this enterprise leadership experience to solve complex operational problems, including a massive supply chain consolidation for a Fortune 50 tech giant that saved $500k annually.

Core Competencies

When I step away from my laptop, you can usually find me at a local pub trivia night quizzing, hiking a new trail, or out on a motorcycle ride.