Nihal Parmar

I’m a Software Engineer with 3+ years of experience building and scaling distributed backend systems, high-throughput data pipelines, and production-ready Generative AI workflows. I focus on owning complex features end-to-end and delivering scalable, resilient, and maintainable solutions.

Most recently, at Troopr Labs, I led end-to-end development of a distributed document processing system—designing ingestion, parsing, and extraction pipelines with Node.js, TypeScript, and AWS. I designed an event-driven, queue-based architecture for parallel PDF/DOC processing (20+ concurrent jobs) and improved contract review efficiency by 80%, while a layout-aware parsing and ontology extraction pipeline achieved 95%+ accuracy.

Previously at Saleshandy, I architected and scaled Inbox Radar, using BullMQ and Redis to process millions of checks daily, and migrated synchronous flows to queue-based processing to improve throughput by 3×. I also built backend services and REST APIs for requirements extraction with RBAC and workflow orchestration, reducing processing time by 40%, and I’ve contributed to centralized authentication with LDAP/role-based access control at Crest Data Systems.