Summary
Shashank Chakravarthy is a research engineer based in Maastricht with 12 years of experience bridging applied AI research, presales consulting, and engineering delivery. He enables interdisciplinary research projects by translating academic goals into reusable ML/AI pipelines, proof-of-concepts, and open-source tooling that prioritize long-term sustainment over one-off solutions. His background spans data engineering, RPA-driven process reengineering, and teaching, giving him a rare blend of practical implementation skills and the ability to communicate complex technical trade-offs to both researchers and executives. Notably, his master’s work built end-to-end pipelines for converting spoken lectures into knowledge graphs—reflecting a focus on speech, NLP, and knowledge representation that informs his research support. Passionate about reusable methodologies, he emphasizes avoiding reinvention and designing extensible systems that accelerate research impact.
12 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Maastricht University
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at SJB Institute of Technology
English, Kannada, German, Hindi, Dutch