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Description

Senior backend engineer specialized in scalable architectures and the integration of AI systems into production.

I work on high-volume SaaS products where performance, reliability, and data quality are critical.

I have designed backend APIs and systems used by tens of thousands of users, with a focus on:

– robust distributed architectures

– data processing pipelines

– integration of LLM models into business workflows

Recently, I have developed AI systems applied to concrete use cases: semantic matching, content generation, real-time assistants, and process automation.

What I bring: transforming complex problems into reliable, high-performing, and scalable systems.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Ingeneria project
FullStack Engineer | AI
June 2025 - Today (1 year)
Marseille, France
**Context**: contribution to the development and evolution of Futur & Co, a SaaS platform used by France Travail and CIP advisors to automate candidate support tasks and improve the quality of follow-up through intelligent LLM-based workflows.

My key achievements:
Project 1 – Candidate/Job Matching Engine (AI / LLM)
**Objective**: improve the relevance of applications and increase the chances of an interview.
**Achievement**:
Design of an AI backend (Python/Django) to generate personalized CVs and cover letters
Implementation of ATS-like semantic scoring (skills, experience, keywords)
Enrichment pipeline: OCR, parsing, translation
**Impact**:
Improved candidate/job match rate
Increased interview access rate

Project 2 – Scalable Real-time AI Chatbot
Objective: provide a continuously available candidate assistant.
**Achievement**:
Development of a real-time chatbot (Redis, BullMQ, MCP)
Resilient streaming + management of persistence and automatic recovery
Optimization of LLM calls (latency / cost)
**Impact**:
Support for 40k users
Smooth personalized conversational experience

Project 3 – Intelligent Notification System (France Travail API)
**Objective**: increase engagement by reducing noise.
**Achievement**:
Redesign of the notification system (Python/Django)
Targeting relevant offers only
Cleaning and management of external data
**Impact**:
+30k engaged users & more relevant notifications
**Other**: Industrialization of development environments and software engineering workflows (Docker, CI/CD, tooling, quality gates) to improve team productivity and standardization.

**Stack**: Django, Python, TypeScript, React, OpenAI, Redis, BullMQ, OCR, REST API, Postgres, Qdrant, Celery, Kubernetes, Docker,
OpenAI MCP Kubernetes Python/Django Typescript
Foudever
Senior Full Stack Engineer
August 2022 - July 2025 (2 years and 11 months)
Paris, France
Context
Development and evolution of an international e-learning SaaS platform (Open edX), deployed on AWS & Azure, used by clients like Sephora, Accor, or AARP, with instances supporting up totens of thousands of usersand a multi-region distributed architecture.

Project 1 – Admin Panel & User Access Management

**Objective**: efficiently manage high-volume users with complex access rules.
**Achievement**:
Evolution of a Django admin panel for multi-level user management.
Implementation of complex ORM queries (roles, organizations, permissions).
**Impact**:
Better access and permission management.
Reduced response times for high volumes.
Significant improvement in response times (latency reduction on critical queries, ~20–30%).
Project 2 – HRIS → LMS Provisioning Pipeline

**Objective**: automate user synchronization between HR systems and the e-learning platform.
**Achievement**:
Development of a backend pipeline (Python/Django) to synchronize: users, roles, enrollments.
Optimization via batch processing and multiprocessing.
Transactional management + SFTP / SSO integration.
**Impact**:
Full automation of user provisioning.
Reduction of manual errors.
Operational time savings for teams.
Project 3 – Course Enrollment Redesign (event-driven architecture)

**Objective**: make complex business logic with multiple side effects reliable.
**Achievement**:
Migration to an event-driven architecture (Django Signals, Celery).
Decoupling of enrollment-related processing.
**Impact**:
Improved maintainability.
Better system scalability.
Reduction of side effects and incidents.
Technical Stack
Django, Python, MongoDB, MySQL, React, Docker, AWS, Jenkins, Nginx, GitHub, Linux, Redis
Django Python Docker React.js MySQL
Mydata
MyData — Backend Engineer / API & Serverless
April 2020 - August 2022 (2 years and 4 months)
La Rochelle, France
**Context**:

Mydata is a startup specializing in GDPR-compliant personal data management. I participated in the design, development, and security of the MyData platform APIs (Etick, MyDataIsRich), in an environment focused on sensitive data with strong compliance, security, and automation requirements.

**Key Achievements**:

API & Backend Architecture

Development of secure REST APIs (Node.js, Python)
Microservices and serverless architecture
Data modeling and flow structuring
CI/CD (GitHub Actions), code review

Electronic Signature (serverless)

Dynamic PDF generation
OTP SMS (user authentication)
Timestamped signature and traceability
Secure S3 / object storage

Automated Email Processing

Event-driven pipeline (Amazon SES, S3, AWS Lambda)
Asynchronous processing of unstructured data
Extraction from HTML, text, attachments
Automation of approximately 80% of workflows

Impact
Automation of critical backend workflows
Reduction of manual operations
Improvement of GDPR security and compliance
Scalable and resilient serverless architecture
Optimization of costs and maintenance
Node.js Serverless PostgreSQL Amazon Web Services Python