Oct 2023 – Present · 2 yrs 5 mos · Hyderabad, Telangana, India

• Architected and delivered a scalable API-driven orchestration platform powering end-to-end ML model launches across 5+ marketplaces. Designed for extensibility and automation at scale, the platform eliminated manual errors, reduced engineering effort by 120+ days/year, and enabled business growth of $681M GMS and $2.3B revenue.
• Designed and implemented a globally distributed, fault-tolerant event-driven architecture and API layer processing 500M+ daily tracking events across multiple regions using AWS SQS, Lambda, DLQs, and DynamoDB. Achieved zero data loss, and sub-second processing latency under peak traffic, ensuring SLA compliance at global scale.
• Built a scalable, event-driven orchestration layer using AWS Step Functions, Lambda, and Spark EMR to process 100GB+ data daily, reducing manual intervention by over 5 hours weekly and improving resiliency and fault tolerance.
• Mentored 4 interns (converted to FTE) and guided 2 SDEs to promotion through project leadership and code reviews.

Jan 2022 – Oct 2023 · 1 yr 9 mos · Hyderabad, Telangana, India

• Engineered a high-throughput, low-latency service handling 100B+ records with 2.5ms P99 latency by designing a custom data structure and implementing a caching strategy, ensuring high performance for critical customer-facing features.
• Implemented observability framework (CloudWatch + QuickSight dashboards) for proactive monitoring, reducing SLA breaches by 50% incidents in 12 months.
• Built custom SageMaker Docker environments for standardized Machine Learning training & inference, accelerating deployment by 30% across multiple teams.