• Built a scalable backend system for seller-appeals on AWS (Lambda, Stepfunctions, DynamoDB) processing 25M listings/month, reducing resolution time from 3 days → 4 hours.

• Led migration of a legacy monolith service into distributed Java microservices, cutting batch runtime from 12 hours to 90 minutes and enabling 3× future scale.

• Developed monitoring & observability infrastructure (CloudWatch dashboards, alarms, runbooks) handling 1M API calls/day, removing 80 hours/month of manual ops work for PMs/SDMs.

• Built an LLM-powered ingestion parser using AWS Bedrock (Claude 3) to auto-backfill product attributes, reducing manual workload by 40% and eliminating $1M/year in vendor costs.

• Implemented a data engineering reporting and analytics system on 50M daily events (impressions, bids, pixels) reducing manual reporting by 80%.

• Integrated 4 major publishers via OpenRTB with Amazon Ad Exchange, projected to drive over ~$50M in annual ad revenue.

• Architected and launched a fee-based monetization platform for AdX and Payments, generating $6M/month ($72M/year).

• Drove engineering quality initiatives achieving 90% test coverage across 7 services, improving deployment confidence, and lowering incident MTTR by 60%.

• Mentored 2 SDE interns on AWS best practices, service architecture, and team pipelines, guiding them through onboarding and their first code contributions.

Skills used: Java, Python, React.js, PHP, MySQL

• Added registration and scheduling features to the Canvas portal used by 10K+ students, improving registration efficiency by ~30%

• Redesigned scholarship portal UI and optimized search queries, reducing average page load time from 4.2s to 2.1s

• Developed automated sync scripts processing 15K+ student records daily between Canvas and backend systems

• Built filtering system with 8 criteria parameters and ranking algorithms serving 3k+ active scholarship seekers

Skills used: Java, SQL, Mulesoft, Salesforce, Okta Integrations, Agile, Cloud technologies, CI/CD

• Delivered Mulesoft-based data integrations for a Tier-1 banking client handling OFAC-sensitive data, generating ~$4M revenue

• Re-architected test strategies across services, achieving 95% code coverage and reducing critical prod bugs to under 5 per release

• Authored 4+ technical guides for Identity Management and Okta, reducing developer onboarding from 3 weeks to 1 week

• Achieved Mulesoft Platform Developer Certification, proving expertise in API design, integration flows and data transformation

Skills used: Java, JavaScript, Python, TypeScript, API integration, Git, ReactJS, SQL

• Integrated Google payments and maps APIs under mentorship, enabling 100% payment reliability and real time location accuracy

• Developed APIs for user authentication and integrated React front-end components, reducing data fetch latency by ~25%

• Developed admin dashboards for QA and feature monitoring with real-time alerts covering 12+ critical metrics

• Automated deployment scripts for staging environments, reducing manual setup time from 90 to 30 mins