Jul 2022 – Nov 2025 · 3 yrs 4 mos

• Designed and led development of a real-time market data processing system handling 500K+ events/sec with sub-250ns latency
• for ultra-low-latency analytics.
• Co-architected a low-latency, microservices-based algorithmic trading platform handling ₹10B+ daily volume, reducing research
• team onboarding time from 2 weeks to 2 days and enabling faster scaling of trading operations.
• Owned architecture and end-to-end development of a modular API framework for time-series data (candlestick and tick-
• level), reducing access latency by 60% and enabling faster downstream analytics.
• Mentored 2 junior engineers; owned full SDLC of critical components in the market data replay and analytics stack.
• Designed and deployed a real-time ingestion pipeline using Apache Kafka and ClickHouse, enabling 99.99% fault tolerance,
• horizontal scalability, and processing of 1M+ events/min for high-frequency market data.
• Engineered and implemented a real-time latency monitoring and analytics framework, improving system observability and
• reducing performance issue resolution time by 40%.
• Streamlined CI/CD pipelines with DevOps and QA, reducing deployment downtime by 30% and speeding up releases

Apr 2021 – Jul 2022 · 1 yr 3 mos

• Delivered a live market data provider that improved analytical throughput by 30% through intelligent event aggregation and
• stream processing.
• Redesigned core backend systems to support zero-downtime restarts, increasing system availability by 15% and enabling
• seamless release cycles
• Optimized Cassandra queries and schema, reducing database read/write latency by 40% and improving real-time system
• responsiveness.
• Architected and implemented a data recording and replay system to simulate real-time market event streams, improving
• strategy backtesting accuracy and validation speed by 50%

Jun 2019 – Apr 2021 · 1 yr 10 mos

• Built a file-based batch ingestion pipeline, improving historical data processing by 80% and reducing manual effort.
• Contributed to large-scale system rewrites, reducing overall latency by 30% across backend services.
• Migrated data pipelines from Hive to Cassandra, cutting latency by 60% for near-real-time access

Dec 2018 – Jun 2019 · 6 mos

• Built a modular strategy framework enabling faster deployment across multiple international markets.
• Improved US equity and derivatives simulation tools, reducing prototyping and validation time by 40%.