• Implemented ranking and pricing logic for high-QPS Amazon Ads and refactored it into a distributed AWS architecture to improve scalability, reduce coupling, and enable reliable CI/CD.

• Ran continuous A/B experiments with data scientists, improving price accuracy and fairness and contributing to $40M+ in ARR.

• Owned Prime Day and Black Friday auction pricing initiatives, focusing on system availability and latency and achieving sub-100ms end-to-end auction times at peak traffic.

• Migrated two critical services across AWS regions and executed the rollout with no customer-visible impact using load and comparison testing.

• Built and maintained high-volume auction event logging used for analytics, experimentation, and downstream ML workflows.

• Migrated all Spark jobs in the auction system to a DMA-compliant infrastructure, ensuring regulatory and data governance requirements were met.

• Implemented customer-facing features end-to-end, building backend APIs and React Native mobile application components.

• Built an email-integrated plugin that replaced a legacy support dashboard, significantly improving daily task efficiency for customer support teams.

• Refactored a monolithic backend into multiple microservices, improving scalability and developer velocity.

• Implemented Single Sign-On (SSO) integrations with external health benefit portals, enabling enterprise partnerships.

• Led GDPR compliance work across backend systems, enabling product expansion into EU markets.

• Increased automated test coverage from 80% to 95%, improving release reliability and confidence.

• Implemented analytics tracking across backend services to support product insights and experimentation.

• Designed and implemented secure RESTful APIs, scalable database schemas and AWS infrastructure.

• Integrated payment systems into the projects(Cloud Payments, Stripe).

• Covered projects with unit tests.

• Implemented full text search using ElasticSearch.

• Integrated external services (Twilio, VoiceIt, Amazon Rekognition, OneSignal) into the projects.

Stack: Python/Django, PostgresSQL, AWS, Celery, Fabric, RabbitMQ .