Luc Atakpa

Kigali City, Rwanda
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Summary

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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.
code7 years of coding experience
job2 years of employment as a software developer
bookBachelor's degree Software Engineering, Bachelor's degree Software Engineering at Université d'Abomey-Calavi
bookMaster of Science - MS Information Technology, Master of Science - MS Information Technology at Carnegie Mellon University
languagesFrench, English
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Stackoverflow

Stats
21reputation
1kreached
2answers
0questions
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Github Skills (23)

ivy10
pytorch10
python10
translation10
converter10
mxnet10
machine-learning10
abstraction10
deep-learning10
tensorflow10
data-science9
javascript9
numpy9
gpu9
neural-network9

Programming languages (3)

HTMLApacheConfPython

Github contributions (5)

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kgmann/models

Jun 2023 - Aug 2023

Off-the-shelf models for a variety of domains
Contributions:19 pushes, 3 branches in 2 months
kgmann/ivy

Jan 2023 - May 2023

The Unified Machine Learning Framework
Contributions:9 pushes, 2 branches in 3 months
fairness-mlpythondata-sciencedeep-learningmachine-learning
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Luc Atakpa