Gurmeet Negi

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.

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.

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