Jan 2023 – Jan 2023 · 0 mo · Bengaluru, Karnataka, India · Remote

• Developed AI strategy
• Improved core platform capabilities like search, user persona generation etc. using OpenAI

Jan 2019 – Jan 2024 · 5 yrs · Bengaluru Area, India

• Conducted 100+ interviews and member of Hiring Committee
• User Acquisition & Product Ranking, Google Shopping for Business
• Managed and developed a high-performing team of engineers and scientists
• Delivered end-to-end solutions for User Acquisition, including identification of
• user intent using LLMs, resulting in 1.5M visits per month for our Beta launch
• Content Moderation, Google Maps
• Built and led a team of 13+ ML engineers/scientists, scaled by 3 times in 2 yrs
• Developed and executed a strategic roadmap to improve abuse detection
• across different content types, including reviews, ratings, photos, and videos
• Drove YoY improvement in abuse metrics by over 30%, while also mentoring and coaching team members to develop new skills, resulting in 5 promotions

Jan 2019 – Jan 2019 · 0 mo · Bangalore

Jan 2018 – Jan 2019 · 1 yr · Bengaluru Area, India

• Built a cloud based product for video surveillance to detect unusual activity in real-time using AI and tested with a few customers
• Provided paid AI consultation to tinychef.ai, built a prototype for segmenting recipe videos into recipe steps, enabling conversational video recipes

Jan 2017 – Jan 2018 · 1 yr · Bengaluru, Karnataka, India

• Managed the entire backend infrastructure for the organization on AWS, reporting to the CTO, and collaborating with cross-functional teams to ensure seamless operations
• Scaled the infrastructure from 1B to 100B miles of driving behavior data, reducing cost/mile by moving towards self-managed services, such as migrating from DynamoDB to Postgres while maintaining scalability and availability
• Delivered a dynamic pricing platform for automobile insurance and solutions to meet regulatory data compliance (GDPR) in the EU
• Grew the team and implemented processes to ensure quality delivery, mentored team members to improve their skills and performance

Jan 2012 – Jan 2016 · 4 yrs · Bengaluru Area, India

• Built and led a high-performing team of research engineers/scientists to deliver innovative data mining and machine learning tools, based on rule optimization, sequence mining, anomaly detection, and kNN, to solve complex business problems
• Collaborated closely with vertical business units to identify opportunities and requirements, and adapted latest research to create scalable and practical solutions that met their needs
• Developed and delivered multiple training programs globally, that improved the adoption of these tools by Amex employees
• Generated millions of dollars for Amex, through improved fraud savings, increased revenues, and rich data analytics, demonstrating the tangible value and impact of the developed tools

Jan 2007 – Jan 2012 · 5 yrs

• Led the design and implementation of scalable machine learning algorithms and A/B testing platform, which significantly improved click prediction for Right Media Exchange, one of the largest ad exchanges in the world
• Led a team of 4 engineers to build a machine learning system using Hadoop, that mined URL normalization rules from billions of URLs. The system enabled URL normalization by just looking at URL strings without fetching the content, improving the efficiency and accuracy of web crawling and indexing
• Filed a patent for developing a technique to learn site-specific token delimiters for URLs, improving the accuracy of URL normalization

Jan 2005 – Jan 2007 · 2 yrs

• Designed and implemented a configuration management system that scaled to more than 100,000 hosts
• Implemented core components of a distributed data store, using peer-to-peer concepts, that enabled fast and reliable access to identity and access management information

Jan 2003 – Jan 2005 · 2 yrs

Sep 2002 – Jan 2003 · 4 mos · Marina Del Rey

Jun 2002 – Aug 2002 · 2 mos · Marina Del Rey