Mar 2025 – Present · 1 yr 3 mos · San Francisco Bay Area · Remote

• Part of the PEF community, collaborating with other founders and innovators to shape the future of AI, data infrastructure, and ethical tech. Actively contributing insights, product feedback, and startup frameworks. Using this platform to stay ahead in emerging technology and network with leading investors and builders

Jan 2022 – Apr 2025 · 3 yrs 3 mos · Seattle, Washington, United States · Remote

• Virtuelly got acquired [exit]
• Built 3 core product with only 4 engineers[no tester no devops]

May 2021 – Jan 2022 · 8 mos · Bangalore Urban, Karnataka, India

• Speech recognition using AI-voice tech
• Predictive maintenance technology using AI tech
• Data platform for IoT events
• Data science platform for building deploying monitoring improving ML models

Mar 2020 – May 2021 · 1 yr 2 mos · Charleston, South Carolina Metropolitan Area · Remote

• Ecommerce search engine, Search relevancy, Ranking, Predictive search, visual search and search data platform etc
• Recommendation system algorithms
• Built a team of 20 data scientists

Aug 2019 – Feb 2020 · 6 mos · Bangalore Urban, Karnataka, India

• [got acquired] in 2020
• Develop a software-as-a-service (SaaS) model for companies that want to create customized search engines for their data. This includes media companies, financial institutions, and other organizations. The platform should allow for the creation of site searches for any company.- Custom search for unstructured data
• Query understanding
• finding Similar queries
• Vector search

Mar 2016 – Jul 2019 · 3 yrs 4 mos · Bengaluru Area, India

• Worked with multi-billions brands Swiggy, Freshworks, Zenoti, Urbanclap,Bookmyshow etc
• Shipped more than 20 POCs for solving business problems using data science. Have built data platforms that scale for trillions of events per day.
• I worked with companies in the Accel portfolio Swiggy, Bookmyshow etc on data science and data engineering. Worked closely with CTO's of these companies and come up with data engineering and data science strategy for open business problems and then help them executing the data strategy while working with data folks.
• Hired more than 50 data engineers and data scientists for these companies.

Jul 2014 – Mar 2016 · 1 yr 8 mos · Hyderabad Area, India

• Scaling the existing system with Big data and machine learning system.Using Spark . Spark Mllib, Hbase and Hadoop ecosystem. Solved the Dedoop problem using Machine learning and Apache Spark.
• Problems solved:
• Developed and Deployed a Large-Scalecompanies Name Normalization System to one canonical entity
• Solved the Entity Matching for billions of entities. Automatically matching entities (objects).
• Built a system using machine learning/NLP to extract C-Level Executive(name, email, designation etc) from Web.

May 2014 – Jul 2015 · 1 yr 2 mos

Aug 2013 – Oct 2014 · 1 yr 2 mos

Apr 2013 – Aug 2014 · 1 yr 4 mos · Gurgaon, India

• Worked upon Building an platform for serving the millions of request plus platform for real time analytics using Hadoop/Map Reduce/storm Ecosystem.Build a personalized search for user.Worked on Building the recommender system.
• Detect and Report Web-Traffic Anomalies in Near Real-Time

Oct 2011 – Apr 2013 · 1 yr 6 mos · Seattle, Washington, United States

• - Enhanced Amazon's recommendation engine by implementing advanced machine learning algorithms, resulting in increased customer engagement and satisfaction.

Jun 2008 – Sep 2011 · 3 yrs 3 mos · Bengaluru Area, India

• Mostly worked on IBM virtualization technologies.
• Built a framework web service level to collect all the metrics of IBM power servers and pass as restful interface.
• Very early engineer to explore Hadoop to solve "analysis of IBM power servers logs.
• Worked with IBM virtualizatin technologies like LPAR,WPAR etc

Jun 2007 – Nov 2007 · 5 mos · Hyderabad

• Worked on restful web services in c#