Summary
Deepesh Kalura is a Full Stack AI Audio Consultant with four years of hands-on experience turning research-grade ideas into production-ready systems across Flutter, Laravel, and Python. He’s delivered measurable impact early in his career—cutting DAO latencies by 20%, preventing costly security exploits with HMAC verification, and achieving 96% accuracy on a difficult PDF extraction task that enabled full automation. At Quantum Strides he built a real-time voice pipeline integrating STT, LLMs, and TTS with VAD and noise cancellation, and deployed it at scale using AWS CDK, ECS, and tuned ALB/NLB configurations for high-concurrency audio traffic. Comfortable across frontend mobile apps, backend architectures, and cloud-native infra, Deepesh moves quickly from “impossible” prototypes to usable MVPs—once shipping a Flutter + Laravel product in 24 days. Based in Rishikesh, he blends pragmatic engineering with security-minded design and a knack for squeezing latency and cost out of legacy systems. An under-the-radar strength is his ability to annotate and validate ML datasets end-to-end, turning uncertain AI experiments into auditable production confidence.
4 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Graphic Era Hill University