Summary
Luc Atakpa is a machine learning engineer with seven years of experience building ML and deep learning solutions across speech recognition, NLP, computer vision, and protein design. He combines research-oriented model development with practical engineering practices—deploying speech systems to GCP, converting notebooks to CLI tools, and using experiment tracking and DB migrations to maintain production-quality workflows. His background spans startups and research labs, including work on local-language speech recognition (Fon) and geospatial data processing with GeoPandas, showing a knack for applied, domain-specific ML. Trained at Carnegie Mellon University and Université d'Abomey-Calavi, he values efficient, maintainable code and thrives in friendly teams tackling impactful problems.
7 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Université d'Abomey-Calavi
Master of Science - MS, Information Technology, Master of Science - MS, Information Technology at Carnegie Mellon University
French, English