Narendra Varma

CTO

Bengaluru, Karnataka, India19 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

18+ years in Machine Learning and AI.
Led high-impact teams at Google, Microsoft, and Amazon.
Successfully executed multi-million dollar projects.

Stackforce AI infers this person is a Machine Learning and AI expert with extensive experience in E-commerce and Advertising Technology.

Contact

thevarmaone@gmail.com LinkedIn

Skills

Core Skills

Natural Language ProcessingMachine LearningLeadershipModel DevelopmentRisk ManagementDecision MakingStatistical Analysis

Other Skills

Automated Decision MakingBig Data TechnologiesBuilding High-Performance TeamsClick PredictionComputer VisionCross-Functional CollaborationDeep LearningLarge Language ModelsMachine Learning TechniquesNeural architecturesPattern RecognitionRecommendationsRoadmap DevelopmentScalable Data MiningStatistical Modeling

About

Deeply passionate about solving complex problems at scale. 18+ Years Industry Experience in Machine Learning / AI / Data Science. Experienced in executing multiple hundred-million dollar projects successfully for large corporations. Been part of and led highly impactful teams at some of the world's leading companies, including Google, Microsoft and Amazon Specialties: Pattern Recognition, Deep Learning, Scalable Data Mining, Natural Language Processing, Computer Vision etc Building High-Performance Teams, Strategic Leadership, Roadmap Development, Cross-Functional Collaboration etc

Experience

Google

AI / ML Leader

Oct 2022 – Present · 3 yrs 5 mos

Bootstrapped the Google Assistant NLP Team in Bangalore from the ground up.
▫ Our team is responsible for building and maintaining all models across the Assistant NLP stack for all i18n (international) languages.
▫ Our team leverages SOTA Research and Neural architectures (Gemini, Palm2, etc.) to build and deploy LLMs.

Natural Language ProcessingNeural architecturesLarge Language ModelsMachine Learning

Flipkart

Director, Machine Learning

Dec 2019 – Oct 2022 · 2 yrs 10 mos

Headed ML initiatives for multiple areas in Flipkart, namely: Search, Social Commerce, UGC, User Acquisition & Retention, Fashion Size Recommendations, Gamification etc.
▫ The teams that I led worked on a number of interesting ML problems - Spanning into the areas of Deep Information Retrieval, Recommendations, Visual Search, Auto Question & Answers, User Response Modeling etc.
▫ Started ML practice in some of the above areas from scratch (Zero to One);
Best scores in all Management metrics for 2 consecutive years;
▫ NPS (100%), Org Engagement (96%) & People Management (100%);
▫ Received Captain Cool Award in Recognition;
Filed 3 patents; Published research papers in top tier conferences;
Led a partnership with a premier academic institution (IIT-Delhi) to foster ML research;
Led discussions to forge partnerships with external startups based in Singapore & California;

Machine LearningDeep LearningRecommendationsVisual SearchLeadership

Microsoft

Senior Manager, Machine Learning

Aug 2016 – Dec 2019 · 3 yrs 4 mos

Managed a team of outstanding ML Scientists. My team was responsible for development and monitoring of Click Prediction models in Bing Sponsored Search for 35+ countries. Predicting the clickability of an Ad is one of the most important components in xB$ Microsoft's Ads business.
▫ Launched 20+ click prediction models in FY 2019, atleast 3X more than any previous years', each with a significantly +ve impact on revenue and other KPIs.
▫ Personally, I brought in a lot of innovations in terms of new modeling algorithms and training pipeline optimisations, which helped multiplex the productivity and increased models' performance significantly.

Click PredictionModel DevelopmentTraining Pipeline OptimizationMachine Learning

Amazon

ML Research Scientist II

Oct 2012 – Jul 2016 · 3 yrs 9 mos

Led the Machine Learning efforts for multiple risk programs with a top line impact of over 350 MM USD. Used cutting edge ML and Big Data technologies on billions of transactions in Real Time.

Machine LearningBig Data TechnologiesRisk Management

Altisource

Practice Manager, Quants

Feb 2011 – Oct 2012 · 1 yr 8 mos · Bangalore

Part of a small team of 4 that owned automated decison making on a mortgage servicing portfolio of size 50B+ USD. Developed a suite of 'Debt Re-Structuring' models leveraging state-of-the-art Machine learning techniques to assist home loan borrowers in distressed situations.

Automated Decision MakingMachine Learning TechniquesMachine LearningDecision Making

J.p. morgan chase

Analytics Specialist II, Portfolio Risk Modelling Group

Jun 2009 – Feb 2011 · 1 yr 8 mos · Mumbai

Part of the core team that supported complex modelling needs of many functions within the organization with credit cards as underlying assets.
Worked on some advanced statistical, time series and optimization models.

Statistical ModelingTime Series AnalysisStatistical AnalysisRisk Management