Jul 2023 – Present · 2 yrs 11 mos · Mumbai, Maharashtra, India · On-site

• Part of header bidding team responsible for developing and shipping code to client websites to conduct ad-auctions and render ads, by connecting with demand partners.
• Major Contributions:
• Feature Development:
• ◦ Customer Onboarding: Onboarded a major customer, contributing to a 100% increase in team revenue.
• ◦ Testing Framework: Developed a company-wide Automated Testing Framework for reducing manual QA effort and increasing reliability.
• ◦ Ad-Stacking: Engineered a feature to optimize ad slots by displaying multiple smaller ads in larger placements, boosting team revenue by ∼15%.
• ◦ Cache Clear Interface: Designed and implemented a unified cache-clearing interface, enabling system-wide and CDN (Akamai) cache purges.
• ◦ Office IP Whitelisting: Implemented a feature to whitelist sensitive server endpoints for office network and VPN requests.
• ◦ Video Ads Quality Improvement: Developed key features for enhancing user experience for video ads, including full screen rendering, autoplay, etc.
• System & Performance:
• ◦ Open-Source Contribution: Fixed a critical bug in Prebid, boosting affected customer revenue by ∼200%.
• ◦ Optimized Logging Backend: Carried out analysis for estimating pod’s logs processing speeds in GCP, accordingly setting up horizontal pod autoscaling limits, reducing pods crash rate by ∼80%.
• ◦ Swap Pipeline: Designed a Jenkins pipeline for rapid rollbacks, cutting revert time by ∼98%.
• ◦ Investigations: Conducted in-depth analyses on optimizing data serialization with Protocol Buffers in Go, diagnosing client-to-backend duplicate data issues, and resolving frequent auction timeouts for Forbes, etc.