2024-: Ads retrieval modernization using state-of-the-art ML and GPU inference

2022-2024: Ads privacy: purposeful data use, privacy-preserving ML, ads data strategy (GDPR, DMA, ATT, consent revocation)

2020-2022: Ads serving re-architecture to scale inference and data

2018-2020: Ads serving efficiency and reliability

2016-2018: Ads billing and attribution infrastructure

Post-route optimization: developed high-performance core modules in C++ that manipulate large (100M-node) graphs.

• Employee #5 of what grew to be 50+ employee company with $16MM raised

• Company's main product, a power optimization software, is based on my Ph.D. research

• Developed key optimization engine in C++ using convex optimization methods. Also developed parsers, UI, documentation, etc.

• Engaged in customer evaluations including preparing marketing material, collecting requirements, and offsite/onsite evaluations.

VoIP application to extend telephone land lines to internet-connected computers anywhere in the world!

• Tackled challenges relevant to VoIP and firewalls & security. Developed prototype for demos.

• Engaged with VCs and prospective partners.

• Technology patented internationally by UCSD and licensed from them. Covered by MIT technology review.