FOUTSE YUEHGOH
P.h.D Candidate in Computer sciences
6 Rue des Riaux, 83000, Toulon
https://foutse.github.io/
EDUCATION
PhD Candidate (Thèse Cifre)
DVRC | COEXEL | Conservatoire National des Arts et Métiers Paris
Since April 2021

My PhD topic is entitled “Real-Time Recommendation of Technological Developments for Multi-Criteria Profiles Enhancement”. The main objective of this work is to define an optimized recommendation system.

Master 2
University of Paris Saclay, Paris, France
From September 2018 to September 2019

Traitement de l’Information & Exploitation des Données (TRIED)
Internship project: SUBJECTIVE RADIO QUALITY RATING THROUGH A.I. (Deep learning)
Average: 13.142/20

Master 2
African Institute for Mathematical Sciences, Mbour, Senegal.
From August 2016 to February 2018

Mathematical Sciences (Big data and Machine Learning).
Internship Project: Mean-Shift clustering for heterogeneous architecture (Big Data).
- Grade: Distinction (80+)

  • Best student.
Licence (Bachelor’s degree)
University of Buea, Cameroon
From October 2011 to August 2014

Bachelor’s degree in mathematics and computer science.

  • Grade: Second class upper Division (3.37/4)
  • Second best student.
PROFESSIONAL EXPERIENCE
Data Analyste
Coexel Toulon, France.
From July 2020 to March 2021
  • Improve the recommendation software Mytwip.

- Recommendation of documents using topic modeling

  • Improve search results in the software
  • NLP, Topic modeling, LDA, SQL, PHP, JS, API, CSS.
Data scientist intern
Groupe PSA Velizy, France.
From April 2019 to September 2019

SUBJECTIVE RADIO QUALITY RATING THROUGH A.I.
Construction of a radio quality classifier using A.I.
- Python, scikit-learn, Random forest, MLP, 1D CNN, 2D CNN, signal processing, Keras.
Brevet: 2019P01807 FR / AF

ACADEMIC PROJECTS
Case study (data mining)
CNAM Paris, France
2019

Satelite data (Phytoplankton ): Statistical analysis, supervised learning & classification through a selection of variables.

  • Python, PCA, Scikit-learn, Random forest, Bigdata, research.
Qualitative data analysis
CNAM Paris, France
2019

Opinion analysis on GMO (genetically modified organisms ): Descriptive statistics, Multiple factorial analysis (ACM), Bayesian discriminative analysis, classification & clustering.
- Python, SAS.

Deep Learning
CNAM Paris, France
2019
  • Deep feature extraction from ResNet50 & Transfer Learning, Fine-Tuning on VOC 2007 images.
  • Poem generation using RNN
  • Computer vision: Image labeling.

- Python, RNN, Keras, CNN, t-SNE, PCA.

SKILLS 
Artificiel Intelligence

Deep Learning, Machine Learning, Natural Language Processing, Audio processing, Recommendation Systems

Graph Networks

Multiplex Networks, Graph databases: Neo4j, Cypher query Language.

Generative AI

LLMs, Langchains, RAG

PROFESSIONAL EXPERIENCE
iOS Junior Developer junior
CoinAfrique Dakar, Senegal.
From December 2017 to July 2018

Maintenance and implementation of new features on the CoinAfrique iOS App version.

  • Mobile app development, Xcode, Swift, CocoaPods.
Research Intern
University of Paris 13 (LIPN) Villetaneuse, France.
From April 2017 to September 2017

Investigated the issues in building efficient machine learning libraries for heterogeneous systems using the Chisel programming language.

Voluntary experience
Member
Deep Decision Project Online
Since January 2021
  • Develop marketing and publicity for the group (e.g. newsletters, Youtube channel, website)
  • Organizing & promoting an event

-The role of Africa in AI Ethics

Investigation on mixity and parity in sports
Concordia ile de France Paris
From October 2019 to July 2020
  • Research on the position of both genders in various sports.
  • Make a critical analysis of comments on female sports.
  • Sentiment analysis on Twitter data related to female sports.
  • Survey to get the opinion of the population around some findings regarding mixity (sports involving both genders) and parity in sports.
  • Write short articles on the findings.
Assistant coordinator of the data analysis department
MathEntrepreneur Cameroon
Since January 2019
  • Data analysis on various projects in place by the association.
  • Advise on the feasibility of projects usually through surveys and data analysis.
  • Mentorship.
Conference organiser
Black in AI Workshop Online
Since October 2020

Organizing the 2020,2021 & 2022 Black in AI workshop

PASSIONS
Activities

Founder of KmerAI,
Co-Founder of WPSYG association,
Chapter lead of Omdena Cameroon,
Co-organizer of WiMLDS Yaoundé.
Hobbies

Ping pong, Music, Dance, Sing.
SKILLS 
Technologies & Programming Languages

TensorFlow, Keras, Plotly, Scikit-learn, Numpy, Pandas, Librosa, Spark, SQL, R, R Studio, Python, Git, Neo4j, cypher, LLMs, Langchain.

Conference presentations
  • Deep learning Indaba 2018 workshop, Stellenbosch University, South Africa.

Poster presentation

  • Black in AI workshop at Neurips 2019, Vancouver conventional center, Canada.

Poster presentation

  • Deep Learning Indaba 2022 workshop, Tunis, Tunisia.

Poster presentation

Awards, Grants and Honours
Paris Saclay excellent scholarship award

M2 Paris-Saclay Traitement de l’Inforamtion & Exploitaiton des Donnees (TRIED)

Mastercard Foundation

Co-operative Masters studies at African Institute for Mathematical Sciences (AIMS) Senegal .
Presidential excellence grant

Bachelor’s studies in mathematics and computer science, University of Buea .
Languages
English
French
SOCIAL NETWORKS
@Yuehgoh
Foutse Yuehgoh
@Foutse