Jan 2024 – Jan 2025 · 1 yr · Palo Alto, California, United States · Hybrid

• We had built an AI-first risk decisioning platform at Oscilar, revolutionizing how organizations detect and mitigate fraud in real-time. I led the teams across the stack, tackling some of the most complex challenges in real-time decisioning, risk management, and scalable architectures. We had leveraged cutting-edge technology to create intelligent, adaptable solutions that push the boundaries of what's possible in the industry. Our teams used Gen AI to tackle complex scenarios in Anti Money Laundering (AML), Account Take Over (ATO), KYC/KYB etc.

Jan 2023 – Present · 3 yrs 5 mos · Palo Alto, California, United States · Remote

• Provided strategic and technical guidance to a set of companies in the Healthcare, DevTools, Infrastructure and AdTech/MarTech space to drive success.
• Provided technical due diligence services to help investors in US, UK and EU.
• Collaborated with cross-functional teams to implement innovative Data, Infrastructure, ML/AI solutions for revenue growth.
• Developed strong skills in AI strategy, startup advisory, and cross-functional collaboration.
• D2 Advisor for SF ELC

Jan 2022 – Jan 2024 · 2 yrs · United States

• I managed the organizations that handle the data services, infrastructure, search, storage, pipelines, data patterns, analytics and scaling at GitHub.
• Our mission was to earn our customer's trust, approach our platforms as products and to be available everywhere. Our core systems were available in all of GitHub's major environments. Our platform prioritized reliability, scalability and security.
• Our team of software engineers and SREs built tools and microservices to manage, scale and operate a fleet of data stores to enable self-service platforms for developers. We ensure the availability, performance and stability of object storage.
• We cultivated the open source projects (Eg: gh-ost, freno, orchestrator etc.) and build things that we are proud to share. Lastly, we provided the platform and infrastructure that powers all of GitHub (including CoPilot AI).

Jan 2020 – Jan 2022 · 2 yrs · Los Gatos, California, United States

• The Data Platform team was responsible for providing the infrastructure supporting all data within Netflix, including the Big Data platform, operational data stores, data transport layers, and reporting solutions.
• As Netflix’s business grew, the Data Platform had more and more data from multiple different origins available for our users to analyze. The Data Platform Edge org existed to be the front door for the users to find the data they needed. I managed the teams that built functionalities for the big data portal, APIs, tooling, ML Infrastructure, enterprise analytics, developer infrastructure and experience for Netflix engineering.

Jan 2019 – Dec 2020 · 1 yr 11 mos · San Francisco, California, United States

• Managed multiple geographically distributed software development teams in the Data Connectivity Group.
• Experienced in the design, delivery, and operation of highly available, data-intensive applications. Adept in technologies such as Java, Spring, Javascript, HBase, Cassandra, Lucene, Solr, Redis, Kafka among others.
• At LiveRamp, we are on a quest to build the most flexible and scalable data marketplace. The platform underlying the marketplace ingests, analyzes, enriches and transforms tens of petabytes of data and then delivers the enriched data to our customers. Powering it is a massive Hadoop cluster with over 80K cores and counting. The cluster hosts over 900 petabytes of data.

Jan 2018 – Jan 2019 · 1 yr · San Francisco, California, United States

• My teams built new businesses, products, and experiences that redefined industries.
• Worked with the world’s largest organizations to accelerate the impact of digital transformation.
• Combined the best of McKinsey’s traditional strategic and analytical rigor with innovative rapid-prototyping capabilities to deliver digital transformations.
• Helped global companies bring their business strategies to life quickly and efficiently.

Jan 2011 – Jan 2018 · 7 yrs · Mountain View, California, United States

• Various roles during the career progression.
• Early engineer for the Quickbooks payments team.

Jan 2010 – Jan 2012 · 2 yrs · Dallas/Fort Worth Area

• Student researcher at the Intelligent Data Analysis Group at SMU.
• Worked on projects related to data mining, machine learning and recommender systems.

Jan 2009 – Jan 2010 · 1 yr · Dallas, Texas

• Worked on full stack projects related to financial services.

Jan 2007 – Jan 2009 · 2 yrs · Bengaluru, Karnataka, India

• Built and scaled the billing and payments engine.

Jan 2007 – Jan 2007 · 0 mo · Bengaluru, Karnataka, India

• Wrote the software for visualizing satellites in space