Aug 2024 – Apr 2025 · 8 mos · Greater Bengaluru Area · Hybrid

Nov 2022 – Aug 2024 · 1 yr 9 mos · Dallas-Fort Worth Metroplex · Remote

• I support the central infrastructure (applications) and data teams at Confluent. The infrastructure teams are responsible for building out the systems and all of the data tools including orchestration engine, machine learning infrastructure, ingestion tools and utilizing Confluent as a product in building out our stack. The data engineering teams are responsible for setting out the source of truth across all of Confluent business units

Sep 2020 – Nov 2022 · 2 yrs 2 mos

• I led the teams in the Integrity space of the Facebook Marketplace product. My org's charter is to empower people to pursue economic opportunities with confidence and trust on Facebook Commerce Platform. We do that by reviewing content and actors on our platform, ensuring that items that do not adhere to FB policies are not present, aim to remove scammers and stop harassment helping our customers have a delightful experience.
• To be able to do that at scale, we have to build out ML models and the corresponding infrastructure to enforce Meta policies

Apr 2019 – Sep 2020 · 1 yr 5 mos

• Part of the Developer Infrastructure org. We were trying to understand what tools to build/improve utilizing data and create an awesome developer experience. My team worked on logging data, writing data pipelines and created data tools that could be leveraged by various engineering teams.

Sep 2015 – Apr 2019 · 3 yrs 7 mos

• I was the second DE and first DE manager in Seattle. I played the role of building up the Seattle DE site lead along with growing my org.
• My responsibilities involve supporting the data teams for Messenger (Seattle), setting up the right data for product experimentation (A/B testing), data mining, extracting insights, building datasets/pipelines, visualizations and combining all of them together to make an impact for Facebook.

Mar 2013 – Sep 2015 · 2 yrs 6 mos

• I started by working on the core infrastructure layers of Azure Data lake such as Storage and Computation layer. Post that, I started working on the Big Data Platform of Microsoft developing rich data insights and building a world class analytic platform. Our requirements push us to process exabytes of data and mine business insights on top of that. We used machine learning, trend detection, predictive modeling and other data mining techniques in order to deliver these insights in near real time.

Jul 2008 – Mar 2013 · 4 yrs 8 mos

• I worked on a product called LightSwitch and managed the 'Professional Tools' team which were part of the Visual Studio product.

Jul 2004 – Nov 2007 · 3 yrs 4 mos

• Worked in the Windows Mobile group. Part of the start up team which created MarketPlace - one place shop to download applications in Windows Mobile 6.
• Wrote Automation and Test tools

Nov 2007 – Jul 2008 · 8 mos · Greater New York City Area

• Worked in the FX division
• Responsible for coming up with mission critical tools, designing and implementing systems