Summary
Kunj Faladu is a pragmatic software engineer from Ahmedabad with three years of hands-on experience building AI-driven hiring infrastructure and real-time systems. As a founding engineer at Neusort, he cut AI interviewer latency from 3s to 500ms, eliminated major memory leaks to drastically reduce Azure costs, and redesigned recording and ETL pipelines to improve throughput and reliability. He has strong end-to-end skills—real-time streaming, speech-to-text, authentication, and secure transaction flows—plus a knack for hardening systems against AI-driven cheating and plagiarism. Now at Quick Dry Cleaning Software, he continues to apply cloud-native and performance-first practices to production services. Notably, he blends deep technical debugging with product-focused delivery, routinely turning high-latency, error-prone components into low-cost, robust features.
3 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at Indrashil University