P

Pushkar Tripathi

CTO

Sunnyvale, California, United States17 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in Machine Learning and Software Engineering.
  • Led innovative projects at Meta and Pinterest.
  • Published multiple research papers in top conferences.
Stackforce AI infers this person is a highly skilled engineer in AI and software development.

Contact

Skills

Core Skills

Machine LearningSoftware EngineeringAndroid DevelopmentAuction TheoryAlgorithms

Other Skills

Data StructuresArtificial IntelligenceOptical Character RecognitionConvolution netsPricing ProblemsStatic Analysis

Experience

17 yrs 9 mos
Total Experience
4 yrs 6 mos
Average Tenure
9 yrs 4 mos
Current Experience

Meta

Distinguished Engineer

Jan 2017Present · 9 yrs 4 mos

  • Monetization GenAI
AlgorithmsData StructuresMachine LearningArtificial IntelligenceSoftware Engineering

Pinterest

Engineering Manager

Jan 2014Jan 2017 · 3 yrs · San Francisco Bay Area

  • Lead the search ads backend team. Responsible for query rewriting, ad retrieval, engagement modeling and allocation for search ads.
  • Built large scale bayesian user models for personalization.
  • Built pacing and budget management system.
AlgorithmsData StructuresMachine LearningSoftware Engineering

Roughepsilon inc

CoFounder

Jan 2014Jan 2014 · 0 mo · Mountain View, CA

  • An android application that allows users to launch product search queries from any shopping application by simply taking a screenshot. The backend used Optical Character Recognition and Convolution nets to analyze image features.
Optical Character RecognitionConvolution netsAndroid Development

Google

Software Engineer

Jan 2012Jan 2014 · 2 yrs · New York

  • Ads quality team in the DoubleClick AdExchange. Responsible for pricing and auction components of the exchange.
  • Content Ads quality team. Responsible for building models for in-app advertising.
AlgorithmsSoftware Engineering

Google research

2 roles

Summer Intern

Jun 2011Aug 2011 · 2 mos · Greater New York City Area

  • Worked with on a simple linear time algorithm for maximum matching. Aceepted at FOCS 2012. Developed a tool for visualizing bid-landscapes and predicting optimal reserve prices for ad-slots.
AlgorithmsSoftware Engineering

Summer Intern

Jun 2010Aug 2010 · 2 mos · Mountain view, CA

  • Worked with on the online bipartite matching problem. Published at STOC'11. Developed on a novel reranking system for removing duplicated videos in the YouTube recommendation system.
AlgorithmsSoftware Engineering

Google

Summer Intern

Jun 2009Aug 2009 · 2 mos · Greater Pittsburgh Area

  • Analyzed improvements to the algorithms for ad selection and placement. Evaluated several caching and indexing strategies to reduce the average look-up latency in the ad-serving backend. Resulted in a 3% reduction in average look-up latency.
AlgorithmsSoftware Engineering

Georgia institute of technology

PhD Student

Aug 2008May 2012 · 3 yrs 9 mos · Greater Atlanta Area

  • Thesis: Allocation Problems with Partial Information. I studied online allocation problems that arise in web streaming, scheduling and ad assignment. Also worked on auction theory and pricing problems.
Auction TheoryPricing Problems

Microsoft research

Summer Intern

May 2007Jul 2007 · 2 mos · Bangalore, India

  • Worked in the Rigorous Software Engineering(RSE) group on a novel approach to detect faults in software prior to execution based on static analysis of binaries. Developed a model for program analysis and proved correctness.
Static AnalysisSoftware Engineering

Education

Georgia Institute of Technology

Ph.D — Computer Science

Jan 2008Jan 2012

Indian Institute of Technology, Delhi

Bachelor of Technology — Computer Science

Jan 2004Jan 2008

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