Martin T.
Machine Learning Engineer / LLMOps
Experience
Jan 2025 - Present
10 monthsMachine Learning Engineer / LLMOps
AXA Global Operations
- MLOps/LLMOps lead for the Secure GPT project, an internal conversational assistant based on generative AI that facilitates secure employee interaction with professional documents.
- Designed and implemented preprocessing, ingestion, inference, and evaluation pipelines for language models.
- Technologies: Azure Functions, Poetry, Typescript, Python, Azure OpenAI, Bicep, Azure DevOps.
Apr 2024 - Present
1 year 7 monthsAI Engineer
PwC
- Developed and deployed Virtual Scrum Assistant to automate stand-up meetings and Jira task updates, improving team efficiency.
- Developed and deployed Intelligent Payment Reminder System to automate invoice tracking via email analysis.
- Developed and deployed Proposal Maker to extract relevant proposals from databases and automatically generate draft proposals.
- Developed and deployed Excel File Analysis Tool to assist with analysis and transformation of corporate financial reports.
- Technologies: OpenAI, LLM, Kubernetes, LangChain, Streamlit, RAG.
Dec 2023 - Apr 2024
5 monthsMachine Learning Engineer
Thales Digital Factory
- Built intelligent classifiers to categorize system failures.
- Developed NLP models using sentence embeddings based on transformers and large language models.
- Technologies: Python, Azure, SpaCy, Docker, SentenceTransformers.
May 2023 - Nov 2023
7 monthsData Engineer / Machine Learning Engineer
L’Oréal
- Led NLP analysis of customer reviews from nine countries to identify improvement areas.
- Optimized the product library's search efficiency, reducing execution time by 50%.
- Built data ingestion and inference pipelines using GCP Vertex AI and BigQuery.
- Technologies: Python, dbt, Vertex AI, BigQuery, Docker.
Nov 2022 - May 2023
7 monthsData Engineer
Aware (Les Mousquetaires Group)
- Built distributed algorithms to clean and correct supplier and product names in a data lake.
- Created a manual correction interface using Streamlit on Azure.
- Technologies: Python, Azure, PySpark, Databricks, Streamlit, Docker.
Jan 2022 - Oct 2022
10 monthsData Engineer / Machine Learning Engineer
Pernod Ricard
- Developed weekly recommendations for sales representatives in India, optimizing travel routes.
- Implemented CI/CD pipelines and built an API for product recommendations.
- Technologies: Python, Azure DevOps, Streamlit, Docker, Azure Functions.
Mar 2021 - Aug 2022
1 year 6 monthsMachine Learning Engineer
Huawei
- Developed Python libraries for training and deploying transformer-based models for tabular data.
- Applied hyperparameter optimization algorithms such as successive halving and Bayesian Hyperopt.
- Technologies: Python, PyTorch, Pandas, deep learning.
Jan 2021 - Present
4 years 10 monthsMentor
OpenClassrooms
- Mentored eight students in the Data Scientist, Machine Learning Engineer, and Python Developer tracks.
Feb 2020 - Jul 2020
6 monthsVolunteer Machine Learning Engineer
Data For Good
- Located CO₂ emissions using NASA's OCO-2 satellite data.
- Detected carbon concentration peaks using autoencoders.
- Aggregated known CO₂ emission sources from existing inventories.
- Utilized meteorological data to identify potential emission sources.
- Technologies: Python, Autoencoders, Folium, GeoPandas.
Mar 2018 - Feb 2021
3 years5G Software Engineer & NLP Machine Learning Engineer
Nokia
- Developed models to predict the optimal resolution team for bug analysis automation.
- Used unsupervised NLP models to identify similar bugs.
- Drafted system engineering specifications for 5G level 2 features, increasing product throughput by 8x.
- Collaborated with international teams in Finland and Poland.
- Technologies: Python, C++, NLP, AWS, Docker, Jenkins, SpaCy, XGBoost.
Mar 2015 - Feb 2018
3 years5G Software Engineer
Orange
- Developed analytical solutions in C++ that increased 5G throughput by 20%.
- Applied optimization techniques, probabilistic models, statistics, and machine learning (K-means).
- Technologies: Python, C++, clustering, optimization.
Summary
Machine Learning Engineer and Data Engineer with over 10 years of experience in software engineering, specializing in the development and deployment of scalable machine learning (ML) models and APIs.
Proven track record of collaborating with global leaders like Huawei, Thales, Nokia, and PwC to deliver AI and ML solutions. Expertise in Natural Language Processing (NLP), performance optimization, and building innovative applications leveraging Generative AI.
Languages
English
AdvancedFrench
AdvancedEducation
Télécom ParisTech
Engineering Degree · France
Télécom ParisTech
Ph.D. · France
Université Paris-Saclay
Master’s degree, Digital Economics and Strategic Management · France
Certifications & licenses
Azure Certified DP-203
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