Summary
Suyash Sreekumar is a senior software engineer with eight years of experience building resilient, low-latency backend systems for finance and enterprise workflows. He specializes in distributed, event-driven architectures using Node.js, TypeScript, and Python, and has driven Kafka-centric pipelines and cloud-native microservices that handle hundreds of thousands of events across trading, payments, and portfolio platforms. At BlackRock and Goldman Sachs he improved throughput and cut latencies through pragmatic optimizations—from PostgreSQL and Redis tuning to JVM GC and retry strategies—while adding observability and automated deployment practices. He’s also applied embeddings and vector search to anomaly detection, showing a practical interest in AI-assisted backend services. Based in the NYC area with an MS in Computer Science from Oregon State, he prefers problems that combine scale, real-time constraints, and operational rigor.
8 years of coding experience
4 years of employment as a software developer
Bachelors Computer Science, Bachelors Computer Science at Fr Conceicao Rodrigues College of Engineering Band Stand Bandra (West) Mumbai 400 050
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Oregon State University