Summary
Mayank Yadav is a Senior Software Engineer based in Berlin with seven years of experience at the intersection of machine learning and software engineering. Currently completing a master's in Intelligent Autonomous Systems, he focuses his thesis and research on learning-from-demonstration and behavior hierarchies for robotics, bringing academic rigor to production-grade systems. He has driven backend and search optimizations for large document stores and built API-driven frontends, and now contributes to software at 3T Software Labs while continuing robotics research. Earlier roles span practical ML applications—from HMM-based time-series forecasting with 95%+ accuracy in finance to hyperspectral crop classification at ISRO—demonstrating a blend of applied research and measurable impact. Mayank is comfortable moving between research prototypes and scalable implementations, making him effective at turning experimental models into deployable components. His profile suggests a rare combination of hands-on systems engineering and deep autonomy research that enables reusable behavior in dynamic environments.
7 years of coding experience
6 years of employment as a software developer
Secondary School, Secondary School at St. Fidelis College
Master's degree, Intelligent Autonomous Systems, Master's degree, Intelligent Autonomous Systems at KTH Royal Institute of Technology
Bachelor of Technology (B.Tech.), Instrumentation and Control Engineering, Bachelor of Technology (B.Tech.), Instrumentation and Control Engineering at Dr. B R Ambedkar National Institute of Technology, Jalandhar ( PUNJAB)
Master's degree, Intelligent Autonomous Systems, Master's degree, Intelligent Autonomous Systems at Technische Universität Berlin
Master's degree, Autonomous Systems, Master's degree, Autonomous Systems at EIT Digital Academy
English, Hindi