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HELLO, IT'S JUDICAËL.

Ph.D. in Natural Language Processing &
Machine Learning

Master in Data Science
Bachelor in Computer Science

Freelancer in AI/NLP/Data Science and Software Engineering



Do you need help with your projects?

Linkedin : here | My Blog : here | My CV : here

GSM : +32 499 15 23 95

Mail : pro.judicael.poumay@gmail.com

Available in the following cities : Liège, Namur, Brussel, Leuven, Maastricht,
Aachen.






MY INCREDIBLE CLIENTS & PROJECTS

Performed Research in NLP to develop a novel algorithm and measure for Complex
Terminology Extraction using Python, Scipy, scikit-learn and NLTK to help with
Automatic thesaurus learning. Automatic thesaurus learning is the process of
automatically creating a repository of concepts and their definitions from a set
of documents. The learned thesaurus can then be used by readers to make their
life easier. In particular, it aims to help them understand heavily technical
texts such as financial regulatory documents published by DG FISMA.

Lasted : 8 Months

Performed Research in NLP including LLM, Topic models, Word Embeddings and
Evaluation methods. I published 4 papers in 4 years and I am proud to say that
one of my papers  was published in EMNLP2021, the 2nd best conference in NLP :
« A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference
Resolution. » During this period I have also used other tools for research
including Python, SQL, AWS EC2, PyTorch, Scipy, NLTK, Scipy,
scikit-learnTensorFlow, spacy and HuggingFace models, Javascript, HTML, CSS.

Lasted : 4 Years

Performed Research in IT job market to discover trends and actionable insights.
Through NLP methods such as topic models, anomaly detection and NER, we were
able to draw a picture of the evolution of job offers over the last decade. This
research demonstrated to Orange the feasibility of a larger  project of
strategic market watch. 

Lasted : 4 Months

Developed stochastic models for Trend Analysis using LLMs and Topic Modelling in
Python. Using MongoDB, Flask and Docker I produced an MVP with an easy to use
web interface. With BeautifulSoup and Selenium I crafted crawlers to retrieve
web data to train my models. During this period I have also used other tools for
research and production including SQL, AWS EC2, PyTorch, Scipy, NLTK, Scipy,
scikit-learnTensorFlow, spacy and HuggingFace models, Javascript, HTML, CSS.

Since : 2020

I have developed and still maintain LLM based Chatbots for coaching and
psychological therapy using Python, LangChain and the OpenAI API. Those Chatbots
have been designed using an underlying Finite-State Machine. Designing these
chatbots required Complex Prompt Engineering methods as well as hallucination
mitigations techniques. Additionally, we are also doing research on the
explainability of LLM through statistical analysis.

Since: 2023

I Teach AI in video games and transmedia to bachelor and master students.
Through my lectures I aim to demystify Artificial Intelligence and related
concepts such as Prompt Engineering and Ethics in AI. I also Teach programming
in C# for AI Behavior in Games with Unity.

Since : 2023

CrazySquare, a small reflex Game for Android phone made in JAVA using the
Android SDK. 

Released in 2016.

No longer Available on the Android PlayStore since 2022.

I have designed website for Indah (a non-profit) on a volunteering basis using 
PhP, Javascript/Jquery, CSS and HTML. 

Lasted : 5 ans

I have designed and still maintain a website for Engemab using WordPress, Divi,
PhP, Javascript/Jquery, CSS and HTML. 

Since : 2023



« The Thought Process (thethoughtprocess.xyz)«  My own popular Science blog made
with WordPress about AI/LLM/NLP and other subject that interest me

Since : 2019




MES PUBLICATIONS

 * Using meaning instead of words to track topics (NLDB 2022)
 * A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference
   Resolution (EMNLP 2021)
 * HTMOT: Hierarchical Topic Modelling Over Time (RANLP 2023)
 * Evaluating Unsupervised Hierarchical Topic Models Using a Labeled Dataset
   (RANLP 2023)
 * NLP Methods for Weak Signals Detection from Unstructured Text (DOCTORAL
   THESIS)
 * For more see my Google Scholar Page



Vous aussi vous avez besoin d’aide sur l’un de vos projets?

Contactez moi !

Linkedin : here | My Blog : here

GSM : +32 499 15 23 95

Mail : pro.judicael.poumay@gmail.com

Available in the following cities : Liège, Namur, Brussel, Leuven, Maastricht,
Aachen.