Software Development Engineer at Delaware North

Designed a fault-tolerant Rust-based ingestion pipeline that parallelizes CloudWatch log streams, Protobuf snapshots, and Fargate workers to reconstruct event timelines in real time, delivering sub-second lookups and processing 10M+ events/day.

Software Developer at SUNY

Optimized full-stack web applications using React, Redux, and TypeScript with server-side caching and batched high-frequency API requests, reducing page load times by 30%. Architected scalable backend services and REST APIs using Java Spring Boot and Node.js, adding a RabbitMQ-based ingestion pipeline to decouple real-time processing, supporting 10,000+ concurrent users and reducing API latency by 50%.

Software Engineer 2 at LTIMindtree

Developed an event-driven microservices platform using Node.js, Kafka, Redis, MongoDB, and Kubernetes on AWS, achieving 99.9% uptime and automating workflows that reduced manual processes by 92%. Designed a sharded, multi-tenant data layer with PostgreSQL, Redis caching with consistent hashing, and token-bucket rate limiting, reducing hot-partition p99 latency by 65% (500→175 ms) under peak load. Optimized distributed caching and search layers (Redis, MongoDB, Elasticsearch) to boost query throughput and cut high-traffic read latency by 60%. Improved authentication security with SSO, RBAC, and JWT-based session validation, reducing unauthorized access attempts by 40%. Built a distributed alerting pipeline using Kafka, Flink, and Elasticsearch Watchers with exactly-once processing, reducing delayed alerts by 72% during peak throughput. Engineered integration testing infrastructure with Jest, Mocha, and Testcontainers to emulate dependent services, increasing CI/CD reliability by 30%.