Kunal Gupta is a senior software engineer with ~9 years of experience building high-throughput, low-latency backend systems for trading and identity platforms. He has designed and shipped distributed, event-driven architectures at scale — from latency-sensitive market-data parsers and FPGA-adjacent components to global onboarding, KYC, and tax-offboarding systems supporting ~150–200M users. Comfortable across Python, Go, Java, C++, and ML tooling, he blends practical systems engineering with data-driven optimizations (ETL, Pandas, Snowflake/Databricks) to improve throughput and correctness by orders of magnitude. At Coinbase he introduced policy-evaluation and ML-based name-matching integrations; at Tower he achieved 20x throughput and 15x reconciliation speedups via parallelized MapReduce and asyncio techniques. He mentors and leads junior engineers, owns end-to-end delivery, and has a knack for turning observability and automation investments into measurable reliability and developer productivity gains. Based in New Delhi, he pairs a hacker’s curiosity for “anything that can be analysed and improved” with a discipline for auditable, production-grade systems.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering Information Technology, Bachelor of Engineering Information Technology at Netaji Subhas Institute of Technology
Student, Student at Adarsh Public School, Vikas Puri
Contributions:19 commits, 18 pushes, 1 branch in 3 months
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