Imane Momayiz
Verified Expert in Engineering
Machine Learning Engineer and Developer
Paris, France
Toptal member since May 29, 2026
Imane is a machine learning engineer with 4 years of experience, specializing in RAG systems, LLM fine-tuning, and generative AI. She has built production retrieval pipelines and agentic systems for multiple industries, and has worked across the full ML application lifecycle. Imane is fluent in English, French, and Arabic.
Portfolio
Experience
- Python - 5 years
- Machine Learning - 4 years
- Deep Learning - 3 years
- Docker - 3 years
- Google Cloud - 3 years
- Large Language Models (LLMs) - 3 years
- RAG Pipelines - 2 years
- Agentic AI - 1 year
Work Experience
Senior Machine Learning Engineer
Illuin Technology
- Led the research and redesign of the RAG pipeline powering the company's core conversational product used by millions of users, building synthetic benchmarks and an evaluation framework to compare retrieval strategies systematically.
- Tested state-of-the-art retrieval and parsing techniques (late-interaction multi-vector, rerankers, VLMs), achieving a 36% gain in retrieval accuracy across real-world and synthetic corpora.
- Collaborated with product to define the AI feature roadmap, shaping priorities for search and agentic capabilities, and owned deployment to production with the ops team.
- Contributed to "Compass," the company's external weekly genAI newsletter, sharing applied research with the community.
Senior Data Scientist
Equancy
- Built operational forecasting models for a transportation firm covering 100+ targets, used Airflow for batch predictions and DASH for a simulation app.
- Developed forecasting models to enhance sales predictions and optimize promotion strategies for a major retail company, surpassing their baseline by over 7%.
- Built a MultiModal RAG to assist technicians during their interventions. Fine-tuned Stable Diffusion models for customized image generation.
- Designed customer segmentation models for a leading cosmetics company, improving targeting and reducing churn. Developed clustering and lookalike models for a hotel chain, resulting in a 4-point increase in CTR.
- Lead company-wide effort to implement a multimodal RAG framework.
- Built scoring models for a major Swiss coffee producer using XGBoost to optimize re-purchase behaviors and promotion sensitivity, delivering actionable insights for managing their B2C portfolio.
Project History
AtlasOCR
https://arxiv.org/abs/2604.08070As the first author, I led the project end-to-end: built OCRSmith, an open-source toolkit for synthesizing tens of thousands of labeled images, and curated real-world data from scanned books, social media, and documents. I fine-tuned a 3B vision-language model (Qwen2.5-VL) using QLoRA, and released AtlasOCRBench, the first evaluation benchmark for Darija OCR. Despite its Darija focus, the model generalizes to standard Arabic, competing with much larger models like Gemma 3 (12 billion parameters) and Qwen2.5-VL (7 billion parameters) on the KITAB-Bench benchmark.
Earthquake Assistance Collaborative Platform
https://huggingface.co/nt3awnouThe platform ranked 5th among the most viewed spaces on Hugging Face during the peak period, and the paper was accepted at NeurIPS NAML 2023.
Education
Master's Degree in Mathematics and Computer Science
IMT Atlantique - Brest, France
Certifications
Google Cloud Professional Machine Learning Engineer
Google Cloud
Skills
Libraries/APIs
Pandas, Scikit-learn, Claude API, React, API Development, REST APIs, PyTorch, BentoML, Google API, Google Places API, PySpark
Tools
Claude, Git, Visual Language Models (VLMs), Claude Code, Azure OpenAI Service, AI Prompts, Codex, Apache Airflow, Whisper, Terraform
Languages
Python, SQL, JavaScript, Java, TypeScript, R
Platforms
Google Cloud Platform (GCP), Docker, Databricks, Vertex AI, Kubernetes, Amazon Web Services (AWS), Azure
Frameworks
Agentic Frameworks, LangGraph, Spark, Streamlit
Paradigms
DevOps, ETL, Microservices, Test Automation, Synthetic Data Generation, Testing
Storage
Google Cloud, PostgreSQL, Data Pipelines, NoSQL, Neo4j
Other
Machine Learning, Large Language Models (LLMs), Artificial Intelligence (AI), AI Modeling, Retrieval-augmented Generation (RAG), Applied AI, Communication, Datasets, RAG Architecture, Data Science, Data Scientist, Semantic Search, Open Source, Cloud, RAG Systems, Consulting, IT Consulting, AI Engineering, Vector Search, AI Evaluation, LangChain, Transformers, Hugging Face, Deep Learning, Embedding Models, RAG Pipelines, Fine-tuning, Time Series, Agentic AI, Large Language Model Operations (LLMOps), Prompt Engineering, AI Model Training, Agentic RAG Systems, LLM Fine-tuning, Scalable Vector Databases, Decision Trees, Vector Databases, Image Generation, Text to Image AI, Text to Image, API Integration, Data Engineering, LLM Reasoning, Reinforcement Learning, Documentation, Neural Networks, Conversational AI, Generative Artificial Intelligence (GenAI), Small Language Models (SLMs), Multimodal GenAI, Technical Architecture, Chatbots, AI Agents, API Design, Error Handling, Remote Work, Data Analytics, Data Visualization, Predictive Modeling, AI Agent Orchestration, Conversational Design, Agentic AI Systems, Agentic Workflow Design, Natural Language Processing (NLP), Solution Architecture, Data-informed Recommendations, Evaluation, APIs, Optical Character Recognition (OCR), Churn Analysis, Time Series Forecasting, Geospatial Analytics, AI Systems, Multi-agent Systems, Multi-agent Orchestration, Full-stack, Computer Vision, Web Applications, Image Processing, AI Model Integration, AI Voice Agents, Cloud Platforms, Machine Learning Operations (MLOps), Software Engineering, CI/CD Pipelines, MLflow, Azure Databricks, Platform Engineering, LLM Agents, FastAPI, Webhooks, GitHub Actions, Milvus, Benchmarking, Data Collection, LoRa, Qwen, Supervised Fine-tuning (SFT), Training, Open-source LLMs, Google BigQuery, Blob Storage, Polars, Forecasting, Clustering, Client Communication, Classification, Data Analysis, ChromaDB, Knowledge Graphs, Recommendation Systems, Customer Relationship Management (CRM), Anthropic, Text-to-Speech (TTS), Sports & Athletics, OpenAI, Memory Management, Causal Inference, Geospatial Data
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.
Start hiring