Rakshith Venkatachalapathy

About Rakshith Venkatachalapathy

As a Software Engineer, I thrive on building and scaling robust, high-performance distributed systems that underpin critical enterprise operations. With a strong foundation in Java, Python, and Go, my expertise lies in architecting solutions that prioritize strong consistency, reliability, and efficiency, even under immense transactional volumes and throughput demands.My passion lies in transforming complex technical challenges into elegant, resilient software. I approach engineering with a focus on meticulous design, leveraging principles of object-oriented programming, data structures, and algorithms to craft systems that are not just functional, but also maintainable and future-proof. I\'m driven by the impact of my work, whether it\'s optimizing critical workflows or enhancing platform resilience.

Experience

1. Software Engineer 3

   eBay

   Sep 2022 — Present · San Francisco, CA, US

   Backend engineer on eBay\'s Payments & Promotions platform building and scaling distributed systems for gift cards, coupons, vouchers, campaigns, and seller financing that serve millions of buyers and sellers globally.• Architected and scaled a distributed gift card platform to tens of millions of records and thousands of API calls/hour, delivering a full lifecycle API suite (create, activate, deactivate, reverse, link, search) with strict latency and availability SLAs across checkout, search, and customer support teams• Identified a systemic fraud gap where retail and store credit cards shared the same limits engine designed and shipped a card-type-specific limits system with daily/monthly controls, multi-currency support, and feature-flagged rollout, stopping significant daily fraudulent transactions and protecting substantial annual revenue• Redesigned a campaign data platform to eliminate a table constraint bottleneck, migrating to a scalable data store and expanding campaign capacity by 60x to 1.5M items; implemented batching and caching that reduced end-to-end latency from 2s to 150ms, directly enabling a major incremental revenue opportunity• Enforced account-level data linking at the persistence layer to neutralize bot-driven code abuse across millions of gift card codes, reducing failed redemptions by 15–20%• Built a cryptographically secure in-house batch code generation service in Java, producing millions of codes annually and eliminating a third-party vendor dependency worth hundreds of thousands per year• Designed a real-time Transaction Limits API adopted by three downstream teams, surfacing live credit limit status and enabling proactive fraud detection across distributed financial service boundaries• Built an AI-powered GitHub Actions agent that scans every pull request and auto-flags misplaced QA configuration before merge, eliminating an entire class of recurring production deployment failures

Education

• JSS Academy Of Technical Education Karnataka

  Bachelor’s Degree, Computer Science

• University of San Francisco

  Master of Science - MS, Computer Science