Yugant Hadiyal is a scientific researcher and software engineer with nine years of experience building production systems in Python and C/C++, currently working on photonic quantum technology at Fraunhofer IOF. He has a strong applied ML background—developing QKD post-processing (error correction and privacy amplification), NLP projects, and fault detection pipelines—bridging research-grade algorithms with deployable tooling. Past roles include building CI/CD tooling for Linux package graphs, recommendation and NLG systems, and AWS-based ML pipelines, showing versatility across systems, cloud, and data engineering. Based in Jena, Germany, he combines hands-on optimization of cryptographic key-generation algorithms with practical software engineering for reproducible research. An understated strength is his knack for automating messy integration tasks (e.g., dataset generation and package dependency automation) that accelerate teams from prototype to production.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Research in Computer and System Engineering, Master's degree, Research in Computer and System Engineering at Technische Universität Ilmenau
Bachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at L.D College of Engineering - Ahmedabad
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.