I'm a Data & AI-focused Platform Engineer at IBM, based in New York City, where I help enterprise clients, especially in financial services, leverage the power of AI agents, LLMs, and machine learning to solve complex business problems. I focus on solutioning AI-driven architectures that are scalable, regulatory-compliant, and tailored to real-world client needs. 

Designing AI architectures has naturally led me to explore innovative approaches to solving real-world challenges. I enjoy turning business challenges into intelligent solutions and collaborating closely with cross-functional teams and clients to deliver real value. My contributions have led to 4 pending patents and 5 defensive publications in areas like LLM optimization, agentic frameworks, and AI governance.

With a master's degree from Carnegie Mellon University and prior experience in strategy consulting at BCG, I combine strategic thinking with deep technical execution. I’m passionate about building scalable, responsible AI solutions that solve complex business problems, and I’m also passionate about mentoring and helping others grow in their careers. 

Outside of work, you’ll find me bouldering, visiting art and science museums, enjoying live performances, or exploring NYC’s street food scene. I also love learning languages—I'm fluent in Mandarin and English, speak Japanese (JLPT N2), and dabble in German (A2). Always curious, always learning, always building.