Leading 110 strong engineering org across India and Australia and delivering delightful experiences on Atlassian Marketplace ($1B/year GMV) and Data Center products Incubated a 30 member team in India working on JIRA, JSM and Confluence for Enterprises Shipped Proforma for JIRA & JSM adding dynamic forms capability with no code Incubated and built security engineering capabilities in India in response to heavily exploited Confluence vulnerabilities Advocated for and executed a rewrite of Atlassian Marketplace backend monolith to microservice based architecture which has shipped together with a refreshed Marketplace UX Engineering lead for marketplace monetization revamp resulting in $175m lift in annual GMV

Established the charter, executive sponsorship, hiring strategy for India Incubated a team of 18 engineers to address key aspects of Indeed ads ecosystem running from Bidding, Reach, Data & Optimization Led teams in Japan and India to redesign Indeeds advertising data pipelines improving data freshness from 24+ hrs to 30 mins Led teams in Japan & India to establish standardized APIs and onboard external partners onto Indeeds advertising stack

Mission: Better, faster decisions through trusted data and algorithms to win the rideshare marketplace Team: 65 SWEs, 7 DS, 2 PMs, 2 TPMs, 8 EMs Charter: Marketplace management tools, Experimentation Platform & Insights, Legal & Compliance Eng, Financial computation & reporting platform, Market & Competitive intelligence, Realtime market health platform, Central Data Engineering Partnered with Executive Leadership & Delivered marketplace savings of $70 mil in 2021 by exploiting pricing elasticities through reinforcement learning helping Lyft achieve adj EBITDA profitability. Transformed experimentation culture to adaptive & always on experiments shortening decision cycles by 100%. Transformed legacy data infrastructure to improve completeness, accuracy & freshness for Lyfts core datasets supporting ML, science, experimentation and operations driving better and faster decisions. Conceptualized and built the science insights toolkit enabling 400+ scientists to perform modeling & analysis efficiently at scale. Incubated and grew the Kyiv engineering site to 15 SWEs. Program lead for Lyft D&I initiatives and ladder steward for Data Engineering & Science.

Crafted the vision, bootstrapped & led Chrome OS Metrics team to address challenges in Product Health, Business Health, Product Usage & User Feedback areas. Led definition, building & monitoring of key product metrics (stability, performance, memory, battery, graphics etc) to continuously improve user experience on Chrome OS devices. Delivered statistical and ML models that measure and optimize key product health parameters such as ZRAM size & Chrome tab discarding mechanisms and help reduce OOMs by 60% & enhancing battery life by 8%. Designed and delivered Chrome OS performance telemetry infrastructure & logs processing for customer feedback reports to fix Top User Issues and improved customer happiness by 7% in 2019. Conceptualized and launched Chrome OS moblab devices used by OEM, ODM & SoC partners to qualify their Chrome OS devices. Collaborated with over 40 partners to onboard them on to Moblab platform and transformed the testing strategy from Google owned to Partner owned. Reduced $1xx M per year in fixed costs (staff+test infra). Reduced product time to market by 3 months.

Led the redesign of Play Stores Concessions & Refunds back end resulting in a 10% improvement in customer satisfaction ratings and savings of $1xx M within a year of launch Led cross functional team of engineering, finance, operations, legal and PR to make Google compliant with FTC ruling on unauthorized in-app purchases. Co-invented password-less customer authentication system used in Google Fi Customer support (doesnt need sharing of Geographic or Biographic information).

Led process definition for media services flow across multiple sell side ad platforms & properties such as DFP & GDN. Led software design & development to automate quality checks, pre-trafficking checks and trafficking workflows for Youtube Reserve & Third Party Ad Serving. Outperformed most of operational KPIs and reduced make goods by 14% YoY in steady state.

Managed a team of 10 SDEs to build a new Customer Notifications experience for Amazons global customer base within tight timelines while minimizing total cost of development & ownership. Reduced customer contacts by 2-3% worldwide by implementing better customer notification mechanisms and self-service processes for customers. Designed a highly scalable personalized email notification platform (powered by machine learning algorithms) that dispatched about 6 billion transactional emails per year to Amazons global customer base.

Built & Led a geographically distributed R&D team (Korea, Singapore, India) of 5 Software Engineers to build Smart Movie HD - a first of its kind Automatic and Manual video editor deployed in LG Mobiles Android phones. Led an R&D team of 3 Software Engineers to build MuveeStudio, an automatic video editing application, preinstalled in over 40M best selling mobiles such as LG Cookie, LG Viewty and LG Renoir. Designed MovieDirector, the first ever video editor on a mobile device, pre-installed in 65M Nokia N series mobile devices.