I currently work in Amazon’s Creators and Associates organization, where I design and lead AI-driven risk and policy enforcement platforms operating at massive scale. These systems replace manual review with automated, agentic workflows that combine machine learning inference, large-scale web crawling, and real-time decisioning, supporting thousands of new creator signups daily and continuous monitoring across millions of creator and affiliate properties spanning multiple marketplaces. My focus is on platform architecture: decoupled ingestion and decision pipelines, cross-marketplace intelligence, resilient data flows, observability, and cost-efficient scaling under sustained growth.

Previously, I spent several years in Prime Video(PV), working across Commerce and Catalog domains. In PV Commerce, I contributed to foundational launches including Channels and large-scale initiatives such as Ads, requiring deep integration across ads, playback, monetization, and commerce systems. I later moved to PV Catalog and Media Supply Chain, where I worked on content lifecycle problems and helped build early ML-assisted and automated dubbing workflows, improving global content readiness and localization velocity.

Across roles, my work consistently centers on distributed systems and platform engineering in designing fault-tolerant systems that scale by construction, minimize operational overhead, and create long-term technical leverage. I’m frequently brought into ambiguous, high-impact problem spaces where system boundaries are unclear and correctness, latency, and reliability all matter simultaneously.

My technical interests include distributed systems, platform architecture, large-scale data pipelines, agentic AI systems, ML-driven decision platforms, and web crawling at scale. I value first-principles thinking, clear ownership models, and building systems that continue to compound value over time.

(Internal international transfer from Amazon India to Amazon US in 2022)

One of the founding engineers in Walmart’s Bangalore-based Ad Tech team, contributing to core search and targeting infrastructure.

Designed and implemented a high-performance catalog search REST API using Play Framework, SOLR, and Scala, delivering significantly lower latency and finer-grained search capabilities than the legacy system.

Re-architected a Ruby on Rails–based data pipeline that moved 120M+ rows from Hive to SOLR biweekly. Migrated it to Scala using Future-based concurrency, resulting in a 75% reduction in runtime and eliminating a MySQL-based buffering layer.

Developed scalable Ad Targeting APIs for order management and filtering logic in Scala and Play, supporting Walmart’s personalized advertising engine.

Actively contributed to hiring, mentoring, code and design reviews, and growing the engineering culture within the newly established Bangalore Ad Tech team.