Freelancer profile translated to English.
Back to original languageAbout Jean
SeniorPython BackendDeveloper with6+ years of experienceas a freelancer. I design robust, maintainable, and future-proof backends—whether in a microservices architecture or a well-structured monolith.
→ My core expertise:
Refactoring and building Python backends with FastAPI (or Flask), applying best practices: clean architecture, DDD, separation of responsibilities, testing, CI/CD, API documentation. I don't just deliver working code, I deliver maintainable code.
→ My current specialty:
Integrating AI agents and LLMs (OpenAI, Mistral, Anthropic) into existing services—intelligent parsing, data extraction, semantic scoring, asynchronous agent orchestration. I bridge the gap between AI research and production code.
→ What I bring additionally:
I have held severaldemanding technical roles**: Data Scientist ( **Animaj,CoachHub,Evaneos– Next 40), CTO (Seeqle), Backend Developer, Data Engineer. This variety allows me to approach backend refactoring with an understanding of product, data, and business challenges.
My background as a Data Scientist (IMT Atlantique, preparatory classes MPSI/PSI at Saint-Louis) gives me a deep understanding of the models I integrate.
Main Stack:Python, FastAPI, PostgreSQL, Redis, Celery, Airflow, AWS (S3, EC2, Lambda), Docker, CI/CD GitHub/GitLab
→ Field experience:
- 10+ backends and APIs designed with FastAPI or Flask (from spec to production)
- 10+ data models and database architectures (AWS RDS, S3, MySQL, PostgreSQL, ArangoDB)
- 15+ clients supported (startups, Next40, public sector)
- 3+ ETL / data pipelines using Airflow, Prefect, or Dagster
- Payment integration (Stripe), business dashboards (Metabase), and deployments on Heroku, AWS (EC2, EKS) with GitHub/GitLab CI/CD
Spanish
Fluent
English
Native or bilingual
French
Native or bilingual
Remote only
Primarily works remotely
Experience
- HoptyCVCo-founder & CTODIGITAL AND ITApril 2025 - Today (1 year and 2 months)Madrid, Spain
- Development of a complete solution for automatic generation of skills profiles via AI
- FastAPI backend architecture with AI agents for CV parsing, skills extraction, and scoring
- Robust ETL pipeline for large-scale processing and enrichment of profile data
- Dynamic template system with PDF generation and automatic adaptation to job offers
- Integration of LLMs (OpenAI, Perplexity) for semantic analysis and skills matching
- Implementation of asynchronous task orchestration for batch CV processing
Stack: Python, FastAPI, Langchain, LlamaIndex, PostgreSQL, Redis, Celery, Airflow, AWS (S3, Lambda, EC2), Docker, LLM APIs, Supabase - ReevuFounder & CTOENTERTAINMENT AND LEISURESeptember 2024 - March 2025 (6 months)Madrid, Spain
- Design and development of the backend for a YouTube video analytics platform
- ETL architecture for real-time ingestion of YouTube data (comments, metrics) via API
- ML models for sentiment analysis and insight extraction from comments
- Optimized database (PostgreSQL) for fast storage and querying of millions of comments
- NLP processing pipeline with vectorization and clustering for audience segmentation
- Webhooks and notification system for real-time alerts
Stack: Python, FastAPI, Langchain, PostgreSQL, Redis, OpenAI API, Embeddings, NLP - AnimajData Scientist & BackendFILM AND AVMay 2024 - May 2024Paris, FranceAutomatic detection of cartoon episodes within a compilation video (containing several unidentified episodes) on a large scale (~50k videos).
- Video download via Pytube
- Video processing frame by frame
- Frame embedding algorithm
- Storage of frames in S3 + ChromaDB
- Episode detection algorithm within a compilation
- AWS EC2
Reviews
Recommendations
MM
MS
+3
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Education
- Master Data ScienceIMT Atlantique (formerly Télécom Bretagne)2020Spécialité Data Science / Machine Learning Cours suivis : - Economie : macro & micro économie, marketing, stratégies de pilotage. - Réseaux : structure et fonctionnement des réseaux mobiles et internet, projet client-serveur de site de streaming avec chat public. - Informatique : (réalisé à Polytechnique Montréal) IA et machine learning, notions avancées en algorithmique (sous Java), sécurité informatique et programmation orientée objets (C++). - Mathématiques : statistiques et probabilités avancées, filtrages de signaux, théorie des tests, estimateurs, chaîne de transmission d'information. - Physique : théorie du signal, circuits logiques, antennes etc...
Certifications
- Get started with relational algebra using SQLOpenclassrooms2020
- Analyze and model time seriesOpenclassrooms2020