Summary
Sukumar Raghavan is an Artificial Intelligence Consultant and seasoned ML engineer with a decade of experience building production-grade AI systems from computer vision to predictive analytics. At DataRobot he led AutoML and deployable CV pipelines—using YOLOv5, Faster-RCNN and SageMaker—and delivered high-impact solutions such as COVID-19 antigen test detection with integrated SHAP explainability and fairness improvements. His background in software and network architecture enables robust, scalable deployments and a pragmatic bridge between research and production. Now freelancing, he designs advanced LLM applications, agentic AI workflows and RAG pipelines while continuing to contribute to prominent open-source ML libraries. Colleagues describe him as technically rigorous yet product-focused, able to turn complex models into operational value for B2B clients across industries.
10 years of coding experience
21 years of employment as a software developer
Bachelor of Engineering Electrical Electronics and Communications Engineering, Bachelor of Engineering Electrical Electronics and Communications Engineering at MKU