Jun 2023 – May 2024 · 11 mos

• Implemented a search algorithm built on top of ElasticSearch to power efficient and
• accurate searches for Futures and Options trading catalog on the app, resulting in an average
• search hit rate of 93%.
• Engineered a disaster recovery search system that maintained search functionality during backend disruptions or cluster outages, achieving 99.9% uptime. Developed an in-memory text indexing system deployed on AWS Lambda that automatically redirected all incoming traffic during cluster downtimes via a DNS Failover switch.
• Delivered an advanced data platform that streamlined ingestion and processing of back-end user events, slashing analytics turnaround time by approximately 96% from 24 hours to 1 hour. Integrated a robust disaster recovery solution that ensured zero data loss on 300 million daily transactions.

Jun 2022 – Jun 2023 · 1 yr

• Designed and developed a microservices orchestrator to replace the legacy BFF service, resulting in a 33% reduction in server costs and a decrease in P99 latency from 450ms to 150ms, also decreased average feature roll-out time to 1 week from 4 weeks.
• Architected a comprehensive data processing framework that analyzed customer interactions and payment history, enhancing the policy issuance workflow and achieving a 35% boost in revenue through streamlined operations.
• Developed a health-check and monitoring system with circuit breaker patterns on an account aggregator platform. Leveraged Firestore's Realtime DB to quantify individual bank's performance, achieving a 60% increase in data fetch rates and a 54% reduction in customer support tickets.

Sep 2021 – Mar 2022 · 6 mos · Gurugram, Haryana, India

• - Worked on a back-end system powering an algorithmic financial life engine, by writing a test suite for the algorithm by implementing property based testing with fast-check. This led to a 30% decrease in the error rate.