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Machine Learning Researcher, PhD candidate in Machine Learning for Cheminformatics and Drug Discovery
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Perpetual learner. Strong analytical skills and a deep passion for research. Extensive academic work and research in machine learning and deep learning in computer vision and cheminformatics. Solid analytical, technical, and problem-solving skills in team-oriented and self-motivated settings. Seeking challenging opportunities in AI, Machine Learning, and Data Science.
KU Leuven
Advanced Master, Artificial Intelligence
September 1, 2017 – September 1, 2019
Université Jean Monnet Saint-Etienne
Master's degree, Machine Learning and Data Mining
January 1, 2015 – January 1, 2018
University of California, Irvine Division of Continuing Education
Certificate , Business Intellgence and Data Warehousing
January 1, 2014 – January 1, 2015
Saddleback College
Seamanship Certification, Marine Science Technology - Sailing and Seamanship
January 1, 2003 – January 1, 2008
KU Leuven
PHD Researcher
October 1, 2022 – Present
Leuven, Flemish Region, Belgium
Experian
Software Engineer
November 1, 2020 – August 1, 2021
Costa Mesa, California, United States · Remote
KU Leuven
Advanced master's degree in Artificial Intelligence
September 1, 2017 – September 1, 2019
KU Leuven
Professional development
September 1, 2017 – September 1, 2019
Amadeus IT Group
Summer Internship
April 1, 2016 – June 1, 2016
Nice Area, France
Université Jean Monnet Saint-Etienne
Professional development
September 1, 2015 – September 1, 2017
Université Jean Monnet Saint-Etienne
Masters degree in Computer Science, Machine Learning and Data Mining
September 1, 2015 – March 1, 2017
Cavco Industries, Inc.
Database Consultant
October 1, 2014 – August 1, 2015
Experian
Database Administrator Expert
January 1, 2007 – February 1, 2014
Costa Mesa, CA
Experian
Senior Software Developer / Team Lead
December 1, 2000 – December 1, 2006
Costa Mesa, CA
Cap Gemini Ernst & Young
Staff Developer
December 1, 1999 – December 1, 2000
Irvine, CA
DST Systems
Staff Analyst Programmer
April 1, 1998 – December 1, 1999
Jefferson City, MO
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Neural Networks for Machine Learning (Geoffrey Hinton - University of Toronto)
Coursera Course Certificates
June 24, 2026 – Present
AWS Educate Machine Learning Foundations
Amazon Web Services (AWS)
June 24, 2026 – Present
Generative AI with Large Language Models
DeepLearning.AI
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
5-Day AI Agents Intensive Course with Google
Kaggle
June 24, 2026 – Present
Introducing Generative AI with AWS
Udacity
June 24, 2026 – Present
MCPS: Microsoft Certified Professional
Microsoft
June 24, 2026 – Present
Generative AI Fundamentals with Google Cloud
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a significant shift from traditional software development and database administration to advanced machine learning and AI research. While the academic background is strong and relevant to an ML Engineer role, the professional experience in ML engineering roles is limited. The diversity of projects is primarily academic research-focused in recent years. The long tenure in database roles at Experian suggests stability, but the transition to a pure ML engineering role might require adaptation to a different cultural and operational environment. The lack of explicit project details for the ML roles makes it difficult to fully assess cultural fit beyond academic alignment.
Soft Skills & Operational Fit
The candidate's resume highlights attention to detail, business acumen, and experience in team lead roles, suggesting strong operational fit and the ability to manage complex projects. Experience in establishing standards and procedures (as a Database Administrator Expert) indicates a structured approach to work. However, specific soft skills like collaboration and problem-solving are inferred rather than explicitly detailed in recent ML-focused roles.