Freelancer profile translated to English.
Back to original languageAbout Rachid
Tech Lead AI Backend Python | FastAPI | Django
I design robust backend systems and AI-augmented engineering workflows capable of production deployment. Mastered architecture, performance, automated quality, and continuous delivery.
Recent achievements:
- 2,035+ automated tests on a B2B SaaS
- Virtual Threads: DB hold reduced from 3-5s to 10ms
- Scaled from 5 to 1,000+ concurrent operations
- Datafrance.fr: 35,000+ municipalities indexed
- Wassati: 6 years of distributed ML and NLP architecture
AI Engineering:
- Orchestration of AI agents for development, review, testing, and debugging
- Multi-agent and multi-model workflows (Claude, Codex, Gemini)
- BDD/TDD-driven code generation with quality guardrails
- Automation of security, performance, and architecture reviews
- Moldable Development: scripts, debugging views, and exploratory tools to reduce technical blind spots
My expertise:
- Monolith refactoring to modular or microservices architecture
- DDD, Clean Architecture, Hexagonal, ArchUnit
- CI/CD and real continuous deployment
- BDD/TDD testing, observability, and security
- Implementation of AI workflows for technical teams
Stack:
- Backend: Python, FastAPI, Django, Kotlin, Spring Boot
- Data: PostgreSQL, PostGIS, Redis, Kafka
- Quality: Pytest, Playwright, Testcontainers, ArchUnit
- AI: Claude Code, Codex, Gemini, multi-agent workflows
- DevOps: Docker, GitLab CI/CD, Continuous Deployment
Services: Tech Lead Backend | AI-Augmented Engineering | Python Development | API Architecture | CI/CD | Mentoring
Why me:
- 8+ years on critical production systems
- Dual expertise: distributed backend + AI engineering
- PCAP Certified, Python and Kotlin/Spring expertise
- Measured quality, automated guardrails, continuous delivery
Do you have a critical backend or a need to seriously integrate AI into your technical workflows? Tell me about your needs.
French
Native or bilingual
English
Fluent
Can work on-site
Le Cateau-Cambrésis (up to 50km), Paris (up to 50km), Lille (up to 50km), Lyon (up to 50km), Bordeaux (up to 50km)
Experience
- Datafrance.fr - Développeur full-stackFounder and Full-Stack Developer | Next.js, FastAPI, PythonPUBLIC SECTORJanuary 2026 - Today (5 months)Lille, France**Goal**: Transform complex public data (INSEE, DVF, OFGL, RNE) into actionable decisions in seconds.**Challenges**: Transition from a dashboard to a decision engine accessible without data expertise. Performance, massive SEO, advanced territorial normalization.Stack**: **Next.js**, **TypeScript**, **FastAPI**, **PostgreSQL/PostGIS**, **Python (ETL)**, **Tailwind**, **ECharts**, **MapLibreMy responsibilities:- Multi-source Python ETL pipeline with territorial normalization (INSEE codes, PLM management, demographic strata)- SEO-optimized ISR generation for tens of thousands of pages (JSON-LD, regional hubs)- Proprietary score by theme + national rankings- High-performance visualization and mapping (ECharts, MapLibre)- Automatic comparison with equivalent territories (strata, neighbors, national)- Implementation of an internal "AI Factory" to enhance the complete software development lifecycle- Orchestration of specialized AI agents for planning, code generation, reviews, testing, and debugging- Development of multi-agent and multi-model workflows (Claude, Codex, Gemini) with validation protocols and automated quality controlResults: **35,000+ municipalities indexed**. Heavy data transformed into instant, readable, and usable output. Transition from an analyst tool to an accessible decision engine.
- XPONE - Architecte & développeur backend KotlinFull-Stack Developer Kotlin/Spring Boot | B2B SaaS CRMSOCIAL NETWORKSAugust 2025 - Today (10 months)Toulouse, France**Goal**: Automate LinkedIn/WhatsApp prospecting without detection or performance loss.**Challenges**: Volume management + real-time + anti-bot detection + scalability without technical debt.Stack**: **Kotlin**, **Spring Boot**, **PostgreSQL**, **WebSocket/STOMP**, **Docker**, **GitLab CI/CD**, **Playwright**, **Testcontainers- Design and development of a high-availabilityB2B SaaSplatform with Kotlin and Spring Boot- Implementation of an internal "AI Factory" to enhance the complete software development lifecycle- Orchestration of specialized AI agents for planning, code generation, reviews, testing, and debugging- Development of multi-agent and multi-model workflows (Claude, Codex, Gemini) with validation protocols and automated quality control- Integration of automated architectural guardrails via ArchUnit, Git hooks, and CI/CD pipelines- BDD/TDD-driven code generation with "@Disabled-first" strategy and vertical slicing under feature flags- Automated multi-persona review: security, performance, architecture, testing, and simplicity- Implementation of a modular architecture based on Domain-Driven Design (DDD) with automatic validation of application boundaries- Optimization of backend concurrency via Java Virtual Threads, reducing database connection hold time from 3–5 seconds to ~10 ms- Increased processing capacity from ~5 to over 1,000 concurrent operations- Development and maintenance of over 2,035 automated tests (unit, integration, E2E)- Implementation of GitLab CI/CD pipelines with continuous deployment
- Wassati - Architecte ML & développeur backend PythonPython Developer | Multilingual NLP ScoringCONSULTING AND AUDITSSeptember 2019 - December 2025 (6 years and 3 months)Lille, France**Goal**: Assign a societal engagement score from text or URL, based on massive corpora (petitions).**Challenges**: Analyze large-scale content without producing noisy scores. Multilingual (FR, EN, ES), data quality, false positives.Stack**: **Python**, **scikit-learn**, **spaCy**, **Apache Kafka**, **pandasMy responsibilities:- Complete pipeline: scraping → preprocessing → multilingual scoring- NMF + TF-IDF models with thresholding to reduce false positives- Custom linguistic pipelines (lemmatization, n-grams, dedicated stopwords)- Asynchronous processing via Apache Kafka for scalability- Multi-model language detectionResults: Readable and actionable score, identification of 20-25 themes via NLP, scalable and reliable production system over 6 years.
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Education
- Bachelor of Science in PhysicsUniversity of Lille 1 Sciences and Technologies2001Bachelor in Physical Science , Physical and Chemistry Science
- University Diploma in Technology in Physical Measurements, Instrumental Techniques optionUniversity of Lille I Sciences and Technologies2000Technical College in Physics Measures Specialism, Instrumentals Techniques
Certifications
- PCAP™ – Certified Associate Python ProgrammerPython Institute - USA2023