Recommended expert

Martin Tabikh

Machine Learning Engineer / LLMOps

Martin Tabikh
Paris, France

Experience

Jan 2025 - Present
1 year 1 month

Machine 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 their professional documents.
  • Design and implementation of 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 10 months

AI Engineer

PwC

  • Developed and deployed Generative AI applications including:
  • Virtual Scrum Assistant: automated stand-up meetings and Jira task updates, improving team efficiency.
  • Intelligent Payment Reminder System: automated invoice tracking via email analysis.
  • Proposal Maker: extracts relevant proposals similar to the provided description from databases and automatically generates a draft proposal.
  • Excel File Analysis Tool: assisted with the analysis and transformation of corporate financial reports.
  • Technologies: OpenAI, LLM, Kubernetes, LangChain, Streamlit, RAG
Dec 2023 - Apr 2024
5 months

Machine Learning Engineer

Thales Digital Factory

  • Built intelligent classifiers to categorize system failures.
  • Developed NLP models using sentence embeddings based on Transformers and LLMs.
  • Technologies: Python, Azure, SpaCy, Docker, SentenceTransformers
May 2023 - Nov 2023
7 months

Data 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 months

Data 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 months

Data Engineer / Machine Learning Engineer

Pernod Ricard

  • Developed weekly recommendations for sales reps 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 months

Machine Learning Engineer

Huawei

  • Developed Python libraries for training and deploying Transformer-based models for tabular data.
  • Applied hyperparameter optimization algorithms like Successive Halving and Bayesian Hyperopt.
  • Technologies: Python, PyTorch, Pandas, Deep Learning
Jan 2021 - Present
5 years 1 month

Mentor

OpenClassrooms

  • Mentored eight students in the Data Scientist, Machine Learning Engineer, and Python Developer tracks.
Feb 2020 - Jul 2020
6 months

Volunteer 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 years

5G Software Engineer & NLP Machine Learning Engineer

Nokia

  • Bug analysis automation:
  • Developed models to predict the optimal resolution team.
  • Used unsupervised NLP models to identify similar bugs.
  • 5G Level 2 features development:
  • Drafted system engineering specifications.
  • Increased product throughput by 8x.
  • Collaborated with international teams (Finland, Poland).
  • Technologies: Python, C++, NLP, AWS, Docker, Jenkins, SpaCy, XGBoost
Mar 2015 - Feb 2018
3 years

5G Software Engineer

Orange

  • Developed analytical solutions that increased 5G throughput by 20% in C++.
  • 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.

Skills

  • Programming Languages: Python, C++, Sql
  • Machine Learning & Ai: Scikit-learn, Pytorch, Llms, Openai, Langchain, Pandas
  • Cloud & Big Data: Aws (Ec2, S3), Gcp (Vertex Ai, Bigquery), Azure (Certified Dp-203)
  • Devops & Ci/cd: Docker, Kubernetes, Terraform, Git, Azure Devops
  • Data Engineering: Pyspark, Data Pipelines, Dbt, Databricks
  • Agile Development: Scrum, International Collaboration

Languages

English
Advanced
French
Intermediate

Education

Télécom ParisTech

Ph.D. & Engineering Degree · Paris, France

Université Paris-Saclay

Master’s degree, Digital Economics and Strategic Management · Digital Economics and Strategic Management · Saclay, France

Certifications & licenses

Azure Certified DP-203

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