TechLead+Manager of 7 person iOS Frameworks Team.Grew dependency injection and RPC frameworks (internal names: SRL and iRPC) to become the Google wide standards for iOS apps.Led the development of a new conformance framework (internal name: Heimdall) to specify and enforce rules over large iOS codebases. Heimdall has already been adopted by the largest Google iOS apps such as YouTube, Maps, Search and Home, within 1 year of becoming GA.Currently working on two new exploratory projects (one using AI/LLMs), as well as taking on new additional responsibilities within my org.

TechLead+Manager for a team of 8 SWEs.Designed and built Service Registry (SRL): A fast, compile time safe, Swift-ObjectiveC cross-compatible, dependency injection framework for iOS (and other Apple platforms). SRL enables large iOS codebases to be cleanly modularized and follow SOLID principles, increasing long term maintainability, testability, code health, and overall developer velocity.Convinced the major Google apps such as YouTube, Search, Gmail, Photos, to adopt SRL. This required significant incremental refactors of their legacy codebases; co-designed (and convinced leadership about) these migration plans.Co-founded RPC and Identity/Account frameworks for iOS apps at Google, unifying multiple legacy systems built by disparate teams. Both have now become the de-facto standard for Google iOS apps.

TechLead+Manager for the Google+ iOS app.TechLead for an internal framework (GSCore) to share components across G+, Photos and Hangouts apps.After a major re-org in mid 2014, most of the original G+ team left. I took over as the new lead, and re-grew the team from 4 to 17 SWEs. During this phase, I also led the re-write of the G+ iOS app to meet new requirements under a short deadline (11 months), and shipped on time while ramping up a very new team.

Quantitative Researcher for Mortgage and Asset Backed Securities (MBS and ABS).Designed models for pricing MBS/ABS bonds, and predicting their losses using a variety of quantitative approaches (including traditional ML/neural networks). Analyzed latest financial data, as well as new regulatory changes (during the Financial Crisis) to update the models.Published weekly articles about MBS and ABS bonds (in JPMorgan's Securitized Products Weekly), driven by above research.Advised JPMorgan's traders and sales teams, as well as JPMorgan's clients (mostly hedge funds) on their MBS/ABS portfolios.Note: Hired as Research Associate (Feb 2008-Feb 2010); Promoted to Vice-President in Feb 2010.

Master's Degree in Operations Research, with specialization in Financial Engineering

As my internship project, I built a stochastic optimization model for computing the optimum portfolio weights given a probabilistic distribution of expected future term structure.

Worked on a research project to help Daimler-Chrysler better design their cars. The main problem was to "search" for better solutions in a high dimensional, non-linear space (built via emulations of engine physics models).Awarded US Patent: System and method of interactive, multi-objective visualizationhttps://patents.google.com/patent/US7921371