Gurmeet Negi
Backend Engineer (Node.js + TypeScript) with nearly 5 years of experience building scalable backend services, distributed systems, and asynchronous processing pipelines.
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About
Backend Engineer with 5 years of experience building scalable backend services using Node.js, TypeScript, distributed systems, and asynchronous processing. Experienced with Kafka, Redis, BullMQ, SQS, PostgreSQL, MongoDB, Elasticsearch, and AI-integrated backend workflows.
Experience
Software Engineer at GE Healthcare (2025-02 – Present)
- Reduced imaging workflow latency by 30–50% by replacing WADO server communication with shared-memory IPC.
- Resolved concurrency and synchronization defects in parallel imaging pipelines, eliminating production race conditions.
- Built benchmarking and observability tools for AI imaging workflows across Node.js, Python, and C++ systems.
Software Engineer at Comviva Technologies (2024-02 – 2025-02)
- Improved API latency by 25% using Redis-based caching and backend optimizations.
- Designed event-driven workflows using AWS Lambda and SQS and built CI/CD pipelines reducing deployment time by 30%.
Software Engineer at TalentRecruit (2021-06 – 2024-02)
- Owned backend architecture for resume ingestion, indexing, and Elasticsearch-based search systems.
- Architected Kafka and SQS-based event pipelines using consumer groups and partitioned topics.
- Improved search latency by 30% through indexing optimization and distributed processing improvements.
- Supported systems handling 200–400 req/sec and processing 50K–150K events/day.
Education
PG Diploma in Advanced Computing (PG-DAC) in Advanced Computing – Sunbeam Institute of Information Technology, Pune (CDAC)
B.Tech in Computer Science – Gurgaon Institute of Technology
