May 2023 – Present · 2 yrs 10 mos · India · Hybrid

• Architected and led the design of a real-time transaction processing platform on GCP (Pub/Sub, Dataflow, microservices), handling 30M+ events/day and reducing response latency from 15s to under 5s.
• Spearheaded the development of an A/B infrastructure framework with telemetry, feature flags, and automated rollback for credit-risk APIs—boosting approval accuracy by 15% and cutting false positives by 17%.
• Implemented and scaled CI/CD pipelines using Cloud Build and GitHub Actions, enabling a 3× increase in release velocity while maintaining 99.99% uptime and zero Sev-1 incidents.
• Enhanced observability and reliability through ELF logging, Prometheus, and Grafana, improving incident detection and response times by 40%.
• Mentored and guided a team of 4+ engineers on modular backend architecture, distributed tracing, and operational excellence, fostering a strong culture of system ownership and scalability.

Aug 2021 – May 2023 · 1 yr 9 mos · India · Hybrid

• Engineered and optimized distributed data processing pipelines using Airflow and BigQuery, improving compute efficiency by 75% (6 hrs to 90 mins) and accelerating quarter-close by 2+ days.
• Developed and maintained scalable backend services with Spring Boot, Kotlin, and Python, integrating credit-risk scoring APIs into underwriting workflows—reducing early delinquencies by 12% across key markets.
• Designed and implemented real-time monitoring and alerting pipelines with SLA enforcement, retry logic, and failover recovery, achieving 99.9% uptime across finance and risk data systems.
• Automated data aggregation microservices powering analytics dashboards through BigQuery BI Engine, cutting fraud investigation response times by 40% and improving decision-making speed.
• Collaborated cross-functionally with data, risk, and product teams to align technical execution with business objectives, ensuring reliability, scalability, and compliance of critical backend platforms.

Jan 2021 – Jun 2021 · 5 mos · India · Remote

• Redesigned legacy reporting workflows by implementing a streaming-based architecture for real-time risk dashboards, improving data freshness and reducing report latency by 60%.
• Developed and optimized data processing pipelines in Python and SQL, refactoring business logic and queries to reduce execution time by 50%.
• Built automated data validation and profiling frameworks, improving pipeline reliability, data quality, and reducing manual QA overhead.
• Collaborated with senior engineers to propose modernization strategies for risk analytics platforms—laying the foundation for scalable, event-driven reporting systems.