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Applied mathematics researcher with 6+ years of experience in machine learning (ML), deep learning, data science, and optimization. Proficient in gradient-based analysis for deep neural networks, advanced prompt engineering, and RLHF to drive efficient model training and alignment. Experience in translating complex theoretical insights into practical decision-making, with successful ML applications in fuel consumption prediction and anomaly detection in telecom base stations, and enhancing fairness and performance in explainable AI for power generation plants.…Applied mathematics researcher with 6+ years of experience in machine learning (ML), deep learning, data science, and optimization. Proficient in gradient-based analysis for deep neural networks, advanced prompt engineering, and RLHF to drive efficient model training and alignment. Experience in translating complex theoretical insights into practical decision-making, with successful ML applications in fuel consumption prediction and anomaly detection in telecom base stations, and enhancing fairness and performance in explainable AI for power generation plants.

Gabin Maxime NGUEGNANG

Data Scientist, AI Prompt Engineer, AI Strategy Consultant, +3

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Applied mathematics researcher with 6+ years of experience in machine learning (ML), deep learning, data science, and optimization. Proficient in gradient-based analysis for deep neural networks, advanced prompt engineering, and RLHF to drive efficient model training and alignment. Experience in translating complex theoretical insights into practical decision-making, with successful ML applications in fuel consumption prediction and anomaly detection in telecom base stations, and enhancing fairness and performance in explainable AI for power generation plants.…Applied mathematics researcher with 6+ years of experience in machine learning (ML), deep learning, data science, and optimization. Proficient in gradient-based analysis for deep neural networks, advanced prompt engineering, and RLHF to drive efficient model training and alignment. Experience in translating complex theoretical insights into practical decision-making, with successful ML applications in fuel consumption prediction and anomaly detection in telecom base stations, and enhancing fairness and performance in explainable AI for power generation plants.

Available to hire

Applied mathematics researcher with 6+ years of experience in machine learning (ML), deep learning, data science,
and optimization. Proficient in gradient-based analysis for deep neural networks, advanced prompt engineering,
and RLHF to drive efficient model training and alignment. Experience in translating complex theoretical insights into
practical decision-making, with successful ML applications in fuel consumption prediction and anomaly detection
in telecom base stations, and enhancing fairness and performance in explainable AI for power generation plants.

Skills

Data Science

Experience Level

Data Science

Expert

Language

English

Fluent

French

Fluent

German

Advanced

Work Experience

Applied Mathematics Consultant for AI Model Training at Outlier AI and Mindrift AI

October 1, 2025 - Present

Trained AI models using Reinforcement Learning from Human Feedback (RLHF) to address specialized real-world problems, transforming mathematical concepts into reliable data to train models for advanced reasoning. Designed research-oriented prompts utilizing Chain-of-Thought frameworks and assessed AI models' performance.

Doctoral Research Assistant and Teaching Assistant at Ludwig Maximilian University of Munich

April 1, 2024 - September 1, 2025

Contributed to developing an ML-based anomaly detection framework balancing accuracy, interpretability, and fairness, enabling explainable AI solutions. Improved training strategies through theoretical and high-performance computing.

Doctoral Research Assistant and Teaching Assistant at RWTH Aachen University

September 1, 2019 - March 1, 2024

Analyzed gradient-based methods for learning deep neural networks and established convergence of gradient descent, facilitating effective model development in deep learning.

Machine Learning Intern at Group One Holding Company

June 1, 2018 - May 1, 2019

Applied machine learning techniques to detect anomalies in fuel consumption data. Trained ML models, deployed predictive models, and facilitated visualization of fuel consumption.