Three decades of building at the intersection of AI, product, and design. Now shipping AI-native applications at startup speed.
Led a 70-person engineering organization building agentic AI experiences for Intuit's small business customers, including marketing and sales agents that simplify day-to-day operations and drive measurable improvements in customer profitability.
Defined and built a centralized evaluation framework for AI-generated content, raising quality standards across teams and enabling reliable, large-scale deployment of AI agents into production.
Partnered with product, design, data, and business leaders to set technical direction, align execution with company-wide AI strategy, and shape the long-term product roadmap.
Co-founded SeyMore with Stanford Professor Lara Tiedens and led development of the core audio/video signal processing and language understanding systems for an AI meeting coach that analyzes conversations and delivers actionable feedback on communication, decision-making, and collaboration.
Led a high-performing team of researchers and engineers in developing global-scale search and recommendation services for Apple's Services business, serving over 800 million users and handling more than 10,000 queries per second.
Leveraged advanced AI/ML technologies combined with rigorous A/B testing to drive innovation, boost revenue growth, and minimize churn.
Explored and prototyped early LLM-based approaches to content discovery and engagement, helping shape future product direction.
Designed and architected the Gracenote video recommendation engine (acquired by Sony), licensed by multiple leading TV manufacturers across Asia, and used to drive content personalization.
Led a team in building high-performance, multi-threaded embedded real-time software for Cisco's flagship switches, powering millions of units shipped annually.
Led a multi-site team of fifteen developers to migrate ABP Systems' intellectual property into a next-generation network monitoring product branded by Siemens.
Co-founded ABP Systems in collaboration with Professor Pravin Varaiya of UC Berkeley, leading the development and commercialization of innovative wireless network optimization tools. ABP Systems was acquired by Siemens.
Conducted research in networking and machine learning and served as a voting member of the IEEE 802.11 standards committee.
Developed software in C++ on UNIX for the NATO Artillery Ballistic Kernel, a multinational software project.
Worked with a former UC Berkeley statistics professor and hedge fund manager to design, test, and trade systematic, high-probability strategies, primarily on the CME E-mini S&P 500 futures contract.
From 2017 to 2020, ran a profitable, fully automated market-making operation on mid-sized Asian crypto exchanges, at times accounting for ~10% of an exchange's daily BTC volume and up to 500 BTC in peak daily volume. Systems operated 24/7 on AWS with strict risk controls and automated monitoring.