Mukul Makwana

I’m a backend engineer with 4+ years across insurtech and fintech, focused on rule engines, policy platforms, and algorithm backends. I build from first principles, and I enjoy turning complex business logic into production-grade services using Node.js, Python, and Go.

At Digiqt Technolabs (Zuno Insurance client), I maintained and optimized a GIN-indexed PostgreSQL rule evaluation engine serving millions of rules across partner channels with 100–200ms response times. I improved throughput by adding Redis result caching, then scaled the infrastructure with AWS ECS horizontal scaling and SQS-backed Lambda workers for high-throughput write workloads. I also designed and built an end-to-end agent policy purchase system in Node.js and TypeScript, replacing a legacy SAP-dependent workflow with a modern platform for policy purchases and digital payments.

I’m equally comfortable with end-to-end ownership: on a fintech startup (The Easyvest), I re-engineered the core algorithm to reduce per-request processing time and built a recommendation platform with OTP-based user auth, portfolio upload, and market-data-driven personalized recommendations. Beyond product work, I build engineering artifacts too—like a Go in-memory key-value store (memdb) with a custom arena allocator and concurrent sharded hash table—and I like solving performance problems that show up under real load.