Experience

• Leading end-to-end chip development programs for Sohu and Caelius, transformer-specific ASICs designed to outperform NVIDIA GPUs for AI inference workloads at scale
• Managing 15-month development timelines across Architecture, Frontend Design, Backend Design, DFT, and Package teams, defining critical checkpoints and coordinating cross-functional execution
• Driving vendor evaluation and partnership strategy for backend implementation, EDA tooling, OSAT facilities, and HBM/memory suppliers critical to chip performance
• Building technical organization through strategic hiring of Senior Architects, ASIC Program Managers, and specialized engineers; developing interview frameworks and screening processes
• Leading customer engagement with priority accounts, coordinating technical deep-dives and performance benchmarking initiatives
• Making critical architecture decisions on KV-cache optimization, HBM controller design, memory hierarchy, and hardware-software co-design for transformer inference acceleration

• Served on elite 45-person Office of the COO team operating as strategic extension of CEO and COO across the world's leading market-making firm
• Partnered directly with business unit heads and senior functional leaders on strategic initiatives spanning trading, research, technology, and operations
• Conducted complex performance analysis to identify operational improvements and define KPIs across business units managing billions in daily trading volume
• Drove strategic workforce planning and recruiting initiatives to attract top talent for quantitative research, trading, and technology roles
• Collaborated across quantitative researchers, traders, technologists, and business leaders on market structure initiatives, liquidity analysis, and cleared product expansions
• Developed deep expertise in global market-making operations, balancing commercial opportunity with risk management and resource optimization

• Led strategic workstream sizing full market potential for novel enterprise cybersecurity offering; drafted go-to-market strategy to maximize value capture over 24-month horizon
• Identified cost rationalization opportunities in SG&A function of medtech company; partnered with SVPs to roadmap execution plan achieving EBITDA targets
• Evaluated middle-market private equity investment opportunity in pharmaceutical sector through comprehensive customer interviews, competitive analysis, and market research
• Developed advanced modeling capabilities, expert research methodologies, and growth strategy frameworks across technology, healthcare, and financial services engagements

Programming Languages

Frameworks & Tools

Technical Domains

Business & Strategy

• MS Computer Science: 3.95 GPA | BA Statistics: 3.82 GPA
• Teaching Assistant for Statistics 110: Introduction to Probability, teaching probability theory to 300+ undergraduates
• Relevant coursework: Mergers, Acquisitions & Private Equity (MIT Sloan), Advanced Topics in Data Science, Time Series & Prediction, Corporate Finance, Sports Analytics
• Technical projects: Matrix completion methods for image reconstruction, parallel reinforcement learning implementation for Tetris, GAN model for synthetic face generation
• National Merit Finalist, Harvard Book Award recipient, SEO Success Scholar
• Vice Director of Consulting at Harvard College Consulting Group: Led 6-person executive team acquiring 18 Fortune 100 clients with $1M revenue target; managed 18 case teams with 100+ consultants