With a background in neuroscience and physical chemistry, I specialize in machine and deep learning using Python. I manage end-to-end AI pipelines — from data acquisition to deployment — building containerized APIs, LangChain agents, and CI/CD pipelines on AWS.
Work Experience
Chatbot SaaS Product
Oct 2025 – Current- Building Prophetic Orchestra 7.5 — a luxury investment advisor chatbot SaaS
- Frontend: Next.js 15 App Router, TypeScript, Tailwind CSS
- Backend: Python, FastAPI, LangChain / LangGraph, Supabase, multi-scraper with Scrapy — fully decoupled architecture
- Observability with LangFuse; predictive model of artist valuation
Process Automatisation
Dec 2025 – Jan 2026- Developed n8n workflows to automate processing of SharePoint data, Excel files and regulatory information
- Automated extraction and transformation of Excel data for compliance and regulation mapping (ETL)
- Automated transcript generation from processed data for documentation and reporting
Chatbot Developer
Aug 2025 – Jan 2026- Developed FastAPI backend services: scraper, PostgreSQL retrieval, and web search tool integrations
- Built and maintained a ChatGPT‑style frontend interface using Next.js
- Implemented Google authentication for secure user access and session management
- Set up LLM interaction tracking and answer evaluation mechanisms
N8N Workflows Creation
Aug – Sep 2025- Automated mail processing pipeline: attachment extraction, OCR, database ingestion and draft creation
Scraping & API — Accounting Directories
Jun 2025- Monthly scraping of accounting firm directories
- Data processing and ingestion into MongoDB
- Built a FastAPI service to expose the collected data
- Deployed on GCP (Cloud Run / Cloud Functions, Google Cloud Storage)
POC Trading Bot — Reinforcement Learning
Mar – May 2025- Built trading gymnasium environment, dataset generation and cleaning, feature engineering
- Trained using PPO and RecurrentPPO (stablebaselines3) with full experiment tracking
Agent Chatbot Development
Dec 2024 – Mar 2025- Built a LangChain agent for art-market insight, querying a Supabase database and generating charts on demand
- Implemented graph-generation tools (Plotly, Seaborn) wired into the agent
- Delivered the chatbot through a Streamlit interface
Reinforcement Learning Debugging
Nov 2024- Debugged multiple reinforcement learning algorithms in a game theory context
AI Chatbot Development
Feb 2023 – Oct 2024- OpenAI API + LangChain framework, Streamlit prompt management app, MongoDB conversation storage
Webapp to Analyse Horse Performance
Oct 2022 – Feb 2024- Built a Streamlit web app letting non-technical users analyse horse performance (filter by age/horseman, Excel upload, result export, dynamic charts, auth)
- Scraped multiple websites with Selenium on CRON-triggered AWS Lambda; cleaned, normalised and stored CSVs on S3
- Serverless processing pipeline on AWS Lambda, GitLab CI/CD
Improve Document Selection System
Mar – May 2024- Audited a chatbot answering questions over legal documents: code review and RAG/chatbot evaluation
- Built evaluation datasets to measure the impact of embeddings, rerankers and chunk size
- Stack: Qdrant vector database, OpenAI ada embeddings, LangChain, LangSmith for evaluation
E-Commerce AI Solutions
Apr – May 2024- Wrongly-categorised e-commerce products: built few-shot prompts to categorise products with an LLM
- GPT-4-Turbo product description generation, web scraping for classification
Art Market Analysis
Jan 2024 – Aug 2025- Scraped several marketplaces (Scrapy, Crawlab), cleaned and normalised ~1M records, designed the SQL schema and statistics
- Exposed artist popularity/revenue rankings through a FastAPI endpoint, stored in Supabase
Chatbot + RAG Pipeline
May 2023 – May 2024- Built a chatbot answering any question about electronic devices (how to repair, specifications) from a PDF corpus
- Created the RAG pipeline with evaluation: embedding choice, chunk size and reranker selection (RAGAS)
- Built evaluation datasets to validate chatbot changes (LangSmith), served via FastAPI
Stable Diffusion Deployment on Replicate
Aug – Oct 2023- Deployed Stable Diffusion workflows on Replicate (SD 1.5 and SDXL)
- Evaluated several models and ControlNets across txt2img and img2img workflows
- Built a CI/CD pipeline (GitHub Actions) to deploy these workflows to Replicate
Python Migration 3.6 → 3.8
Jan – Mar 2023- Migrated an internal HR banking application from Python 3.6 to 3.8 (plus dependency upgrades) using CMake
NLP, OCR & Cloud Specialist
Sep 2020 – Dec 2022- Fine-tuned BERT/CamemBERT for sentiment analysis across 16 languages, served via FastAPI (Flask → FastAPI migration, Dockerised)
- Fine-tuned a handwritten OCR (Tesseract benchmarking, synthetic French dataset for easter2) and deployed an inference API
- Experiment tracking with Neptune.ai; deployment on AWS Lambda + API Gateway
Infrastructure & Dev Engineering
Jan – Jul 2022- Selenium scraping on AWS Lambda with GitLab CI/CD
- Invoice parsing and ingestion pipeline into Salesforce CRM
Interface Development
Oct – Dec 2021- Built a Streamlit web app for data scientists to analyse the output of an OCR pipeline
- Refactored a monolithic codebase into gRPC microservices
Data Processing Optimization
Jun – Sep 2021- Migrated Excel-processing Python scripts from local to cloud to generate reports
- Refactored, cleaned and deployed the scheduled (cron) jobs on AWS Batch
Backend Automation Engineering
Nov 2020 – May 2021- Let non-technical users update e-commerce website data from Google Sheets via a FastAPI service
- Added unit tests across several environments; Google Sheets API integration
EEG Data Analysis
Feb – May 2020- Refactored NumPy code to optimise computation on EEG sensor data
- Built a Streamlit app to visualise the data and debug the pipeline
Classification Study
Sep 2019 – May 2020- Feasibility study: unsupervised NLP to cluster scientific publications (scikit-learn, NLTK, spaCy)
- Built a Scrapy pipeline to gather millions of scientific papers into DocumentDB (AWS)
Teaching Experience
Reinforcement Learning courseDec 2022 – Mar 2023
AIX YNOV CAMPUSPython & Machine Learning InstructorJan – Feb 2022
EFREINLP Introduction for PhD LinguistsJan 2022
Fénelon Sainte MarieIntroduction to PythonMay 2021
SIMPLONLead Formateur IANov 2018 – Apr 2020
SIMPLONEducation
Master of Neurosciences2013
UPMC · ParisBachelor of Physics & Chemistry2015
UPMC · ParisBachelor of Life Sciences2011
UPMC · Paris