CV

Education

Master’s degree, Datascience and Machine Learning, September 2021 - August 2022

Ecole nationale supérieure de l’Electronique et de ses Applications, France

• Advanced coursework in Computational Image Processing, Artificial Intelligence, Machine Learning, Data Integration and Mining, Deep Learning for Image and Video Analysis, and Big Data Architecture.
• Research-focused curriculum with emphasis on practical applications in computer vision and self-supervised learning techniques.
• Final Research Project: “Data Incremental Learning Applied to Self-Supervised Learning Models in Computer Vision” - Developed novel approaches to continual learning with limited supervision.

Master’s degree, Computer Science Engineering, September 2018 - August 2021

Ecole Nationale Supérieure Polytechnique de Yaoundé, Cameroon

• Comprehensive training in Fundamentals of Machine Learning, Deep Learning for Image Processing, Database Management, Data Mining, Software Engineering, Multi-Agent Systems, Big Data Analytics, and Artificial Intelligence.
• Balanced theoretical foundations with practical implementations through project-based learning.
• Final Research Project: “Constraint Optimization of Resources Used by Tasks in Workflows” - Designed efficient algorithms for resource allocation in complex workflow systems.

Preparatory Classes, Mathematics and Physical Sciences, September 2016 - August 2018

Ecole Nationale Supérieure Polytechnique de Yaoundé, Cameroon

• Intensive two-year program focused on engineering foundations with emphasis on advanced Mathematics and Physics.
• Developed strong analytical thinking and problem-solving skills essential for engineering disciplines.
• Rigorous preparation for competitive engineering school entrance examinations.

Work experience

• CDI: January - : Data Scientist at Ivalua

  • Skills: Machine Learning · Computer Vision · Python (Programming Language) · Natural Language Processing (NLP) · Data Science

  • Constructing a robust data pipeline dedicated to training the invoice data capture system.
  • Assessing and implementing enhancements to the existing machine learning pipeline.
  • Innovating and presenting novel concepts to enhance the architecture of the Invoice Data Capture (IDC) system.
  • Developing a sophisticated multimodal model aimed at advancing the comprehension of IDC data.
  • Developing views using gradio for testing web service deployed
  • Specialized LLM Model on custom task and integration on Ivalua Products

• Internship: April 2022–September 2022: Machine Learning Researcher at Etis Lab, Ecole nationale supérieure de l'Electronique et de ses Applications

  • Data incremental learning in deep architectures :
  • Three scenarios of continual learning
  • Continual self supervised learning through distillation and replay
  • Add features to existing memory based approach for Continual learning

• CDD: October 2021 - May 2022 Then CDI : May 2022 - December 2022: Software Engineer at Defacto Technologies

  • Application development, including specifications;
  • Participation with the R&D team in the development and validation of Innova’s product applications;
  • And more generally, any activity related to the software development of the Company.
  • Development of a python client to manage resources allocated by users.
  • Improved the JavaScript interface, introducing new features for better resource monitoring.
  • Implementation of the Java backend and Graph-QL database

• Internship: July 2020–September 2020: Machine Learning Internship at Ecole Nationale Supérieure Polytechnique de Yaoundé

  • Understanding User Tasks on the Web
  • Technology : Python
  • Tools: Tensorflow, Sklearn, NLP, Transformers…
  • Reference: bbatchakui@gmail.com

• CDD: January 2020–February 2020: Software Developer at Upgrade-Group

  • FSD generation software for pwc
  • Upgrade group / Stagiaire (01/2020 - 02/2020): 2 weeks
  • Technology : Java + Java Fx

• Internship: June 2019–August 2019: Software Developer Internship at Megasoft

  • Software creation of an ERP for the Ministry of Economy of Gabon
  • Tester of Software creation of an ERP for the Ministry of Economy of Gabon
  • Technologies: Java (Java SE, JUnit, DbUnit, Mdal Test)
  • Reference: imoukouo@gmail.com (Dr Ibrahim MOUKOUOP Directeur de Megasoft)

Skills

1. Classical Machine Learning
2. Computer Vision
3. Natural Language Processing (NLP)
4. Data Science
5. Self-supervised Learning, Semi-SSL
6. Data Pipeline Development
7. Multimodal Modeling
8. Continual Leaning : Incremental Learning, Distillation and Replay Techniques, Memory-Based Approaches for Continual Learning

Programming Languages:

1. Python

2. Java SE

3. JavaScript

Tools and Technologies:

1. TensorFlow, Pytorch
2. Sklearn, Numpy, Pandas
3. Transformers, unsloth, Ktrain
4. JUnit, DbUnit
5. SQL, GraphQL, MongoDB
6. Java SE, JavaFX

Publications

Detecting Misinformation and its Sources on Social Media

Alex Kameni, 2022

DATA INCREMENTAL LEARNING IN DEEP ARCHITECTURES

Alex Kameni, 2022