Jan 2023 – Jan 2025 · 2 yrs · Bengaluru, Karnataka, India · Hybrid

• ZoomInfo is a leading B2B SaaS US MNC working on Data, AI, Sales, Marketing, Talent, Branding,
• Engagement and other GTM products. I led products such as Customer Facing Analytics, Talent, Comparably and Product Usage Fraud/Abuse. I also led India Engineering, overseeing various activities such as hiring, upskilling, branding and culture, and also helped setup our Bangalore office.

Jan 2021 – Jan 2023 · 2 yrs · Bengaluru, Karnataka, India

• Gupshup is a leading global Conversational Engagement company and also became a Unicorn. I led Conversational Experience Platforms and Products at Gupshup including Bot Platform, Commerce, Marketing and Customer Support Products, Customer Data Platform, Integrations Platform, Vertical Products, AI/NLP, UI and Mobile Technologies.

Jan 2020 – Nov 2021 · 1 yr 10 mos · Bengaluru, Karnataka, India

• InMobi is a leading global AdTech company and was India's first startup Unicorn. I headed Platforms Engineering at InMobi comprising 3 focus areas - Data Platforms (Customer Data Platform, Audience Intelligence Platform, Data Enrichment Services), Enterprise Platforms (Reporting Platform, Identity Access Management, ERP & CRM) and Horizontal Platforms (AI Platform, Spark/Airflow Management Platform, Compute Platform, Logging & Metrics Platform).
• I also led the IPO readiness charter for InMobi Marketing Cloud Engineering, and earlier was Head of India Engineering for InMobi Supply Side Platform, Ad Exchange, Mobile SDK and UI.

Dec 2017 – Dec 2019 · 2 yrs · Bengaluru, Karnataka, India

• I led the Artificial Intelligence Technologies organization comprising AI Platform, Intelligence Services and GPU Computing CoE as part of the Global Data pillar at Walmart Labs.

Jul 2015 – Dec 2017 · 2 yrs 5 mos · Bengaluru, Karnataka, India

• Flipkart is India's largest Ecommerce company. I managed Trust & Safety Engineering and Data Science charter at Flipkart including Buyer, Seller & Logistics Fraud & Abuse Detection, Data Processing Framework called 'Scooby', Account Linking Service and Case Management System.
• We leveraged Big data and Machine Learning technologies to model risk and built services, systems and ML models in various product flows to detect and action in real time with precision and scale. Helped save lot of losses from all types of fraud and abuse for the company.

Apr 2011 – Jul 2015 · 4 yrs 3 mos · Redwood City, CA

• Turn is one of the largest deep tech online advertising Demand Side Platform and Data Management Platform, serving millions of QPS in real time bidding on display, video, mobile & social channels, targeting billions of users, sifting through petabytes of data in multiple data centers, processing billions of events daily at very fast response times and connecting with numerous RTB exchanges and data providers worldwide.
• I managed Applied Science Infrastructure Development group including Scoring and Ranking Real-time System, Bid Optimization, Budget Allocation, Budget Pacing, Multi-Touch Attribution, PMML based modeling, A/B Testing experiment infrastructure, Campaign Analyzer, Insights Reports, Job Scheduler, Science Dashboard, and provided support for many features like Dynamic Creative Optimization, Deals and Forecaster.
• Previously, also worked as an Architect and built Hadoop based ETL reporting pipelines, a distributed real-time Budget Control System, Accounting Models & a Query Layer/Distributed database for Turn Platform.

Mar 2010 – Mar 2011 · 1 yr · Mountain View, CA

• Worked in AdSense Core Development group. Improved query serving system to provide better page content quality signals for ads in Google Display Network during degraded processing. Developed Loader and Annotator in AdSense index building pipeline using MapReduce, BigTable and Search platform with a new architecture to improve scalability, reliability, and testability.

Mar 2003 – Mar 2010 · 7 yrs · Redwood Shores, CA

• Worked in Distributed Database System Development group. Architected Message Cache, the core component of a high performance database-kernel-integrated distributed message queuing, replication and event management infrastructure in the Oracle RDBMS. Led project design and implementation effort over a team spanning US and India, mentored many team members and collaborated with other database kernel groups.
• Earlier, also designed and implemented the next generation RDBMS Publish/Subscribe Message Queue Dequeue operation with performance and scalability over four times than earlier under high concurrency. Handled caching, shared memory management, clustering, sharding, transactions, consistency, recovery, high-availability and multithreading for both synchronous/asynchronous event processing and messaging.
• Earlier, also designed and implemented Parallel Event Notification Server in the Oracle RDBMS kernel as the foundation for Oracle’s asynchronous event management and notification infrastructure for handling advanced queuing, continuous query, system and FAN events in the Oracle database server. Also worked on Grouping of Event Notifications in the Oracle Database System and authentication scheme for securing Database Client Event Notifications. Improved Oracle RDBMS Eventing Infrastructure diagnosability, manageability and usability. Learned performance analyses and developed database benchmarks.

May 2002 – Aug 2002 · 3 mos · Madison, WI

• Worked in Database System Query Optimizer Development group. Designed and implemented Cube, Rollup and Grouping Sets features in the Teradata RDBMS kernel using SQL-2003 grammar for Group-By clause and cost-based optimization of OLAP query plans for multi-dimensional databases.

Aug 2001 – Jan 2003 · 1 yr 5 mos · Madison, WI

• Worked in the Department of Computer Science. Taught Machine Organization and Programming to undergraduate students.

May 2000 – Jun 2000 · 1 mo · New Delhi, India

• Worked in the ATM Networks Development group.