Seshadri
Software Engineer with 2+ years of experience designing and operating high-throughput distributed systems
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About
Software Engineer with 2+ years of experience designing and operating high-throughput distributed systems and production-grade backend services using Go(GoLang) and Java. Experienced in microservices, event-driven architectures, API design, concurrency, system design, observability, performance optimization, and production incident response. Building production-inspired Agentic AI and LLM systems with a focus on latency, reliability, and evaluation.
Experience
Software Engineer II - Techmojo Solutions Pvt Ltd
(2024-06 - 2026-06)
High-throughput real-time sportsbook platform
- Architected and led implementation of a unified feed entity microservice, evaluating consistency, storage, and query latency trade-offs against a federated design, improving availability to 99.99% while eliminating duplicate records across systems processing 1B+ Kafka events.
- Authored an architecture RFC comparing entity consolidation and federated-query approaches, evaluating consistency guarantees, storage efficiency, and query latency before driving adoption across multiple engineering teams.
- Designed idempotent resettlement and unsettlement workflows supporting rollback and reconciliation, reducing payout discrepancies by $250K annually while ensuring correctness under concurrent event processing.
- Optimized storage architecture across Kafka-backed microservices through data lifecycle improvements and schema optimization, reducing storage costs by 40% while maintaining throughput.
- Diagnosed consumer lag during a production incident, restoring a 1B+ message backlog within hours through performance tuning; introduced backpressure handling to prevent recurrence under similar load
- Built Prometheus/Grafana monitoring and alerting for feed and event-pipeline services; served as primary on-call responder, driving post-incident reviews that reduced repeat incidents
- Extended the feed microservice with dedicated APIs using gRPC consumed by promotions and bonus teams to generate market-specific offers, evolving the platform from internal event-processing into a shared cross-team data source
Education
M.Tech - Computer Science & Information Security - International Institute of Information Technology, Hyderabad


