Freelancer profile translated to English.
Back to original languageAbout Aghiles
Are you looking for anAI Engineer & Senior Software Engineer(TypeScript/Python FullStack + Advanced AI) to strengthen your team?
You've come to the right place! I master the latest frameworks and the most modern techniques inAI solution design, AI Agents, and fullstack development.
AI Engineer and fullstack developer with ~5 years of experience on complex web platforms in the B2B and B2C SaaS sectors. I have worked on significant projects used by large companies such asL'Oréal,**Crédit Agricole, FDJ, Canal+ and AXA Assurances**, critical applications handling sensitive data and large volumes.
I can assist with:
- Design and development of web and SaaS platforms
- Refactoring or optimization of front-ends (performance, DX, bundle reduction).
- Setup or migration of Node.js / NestJS / Python back-ends
- Industrialization: testing (unit, e2e), CI/CD, monitoring.
At Polycea, I optimized the OneFlex.fr application and reduced the main bundle size by 80% and accelerated the loading speed by 5 to 10,resolving a critical bottleneck that had lasted over a yearon a React calendar module.
Tech stack:
Have a project for me?
Send me a message and let's discuss!
French
Native or bilingual
English
Fluent
Kabyle
Native or bilingual
Can work on-site
Paris (up to 50km), Nice (up to 50km), Cannes (up to 50km)
Experience
- L'OréalSenior AI & Software EngineerJanuary 2026 - Today (7 months)Paris, FranceBuilding an AI agentic SDLC platform for internal use to make employees more productive by automating cumbersome tasks.
- AGROLABSenior AI & Software Engineer (Lead)AGRICULTUREJune 2023 - December 2025 (2 years and 6 months)Paris, FranceAgrolab is a laboratory specializing in the analysis of food products for over 200 companies, helping them ensure the safety of their products and their compliance with government regulations.Key achievements:•Designed from scratch an AI orchestration platformallowing lab technicians to create complex workflows via a drag-and-drop interface, reducing manual processing time by 50% and enabling full automation of legacy systems.• Developed a suite of background AI agentsthat eliminated over 40 weekly hours of manual data entryby integrating a modern web infrastructure with internal software via custom MCP servers.• Implemented a distributed pipeline for ingesting and processing data from bio-organic sensors, deploying AI-based anomaly detection, enabling critical sample identification72 hours earlierthan with manual methods.• Designed a real-time scheduling system to manage laboratory equipment usage based on task priority and availability, reducing bottlenecks anddecreasing downtime by 25%.
- PolyconseilSoftware EngineerSOFTWARE PUBLISHINGMay 2022 - June 2023 (1 year and 1 month)Paris, FrancePolyconseil has over 250 employees with an estimated impact on over 800,000 users. Some of their clients: Carrefour, Engie, Canal+, FDJ, AirBus, Crédit Agricole, BNP Paribas, Total Energies.My team consisted of 13 developers, 1 Lead dev, 4 PMs, 3 UI/UX designersMy key contributions:•Resolved a year-long performance bottleneckin a critical calendar module using React Profiler and advanced rendering optimizations, reducing latency by 3s per click and restoring real-time usability.•Refactored the configuration module used by hundreds of client domainsby introducing a standardized configuration structure, batch updates, and an optimistic UI with a rollback mechanism, enabling 3x faster interaction.• Migrated an image storage system from Base64-in-DB to external URLswithout service interruption and with complete data integrity.•Reduced deployment cycle time by 30%by adding extensive E2E tests via Selenium, decreasing QA load and accelerating iteration while maintaining stability.• Reduced the application's main bundle size by 80% through route splitting and lazy loading,increasing loading and navigation speed by a factor of 5 to 10— a significant performance gain immediately noticed by teams and management.
Reviews
Mohamed
WTCB
Reviewed on 2/11/2025
Another successful collaboration with Aghiles. He led a complex project with remarkable meticulousness. He understands the stakes of a project very well, which allows him to achieve impressive results in record time.
L
Léo
Polyconseil
Reviewed on 6/26/2023
Aghiles worked very well on the mission, bringing both front-end (React) and back-end (NestJS) expertise. He always seeks to improve himself and to improve what can be improved on the project (refactoring, tooling, raising organizational issues, etc.).
Aghilès is efficient and likes to isolate himself to move forward quickly on his own; don't hesitate to encourage him to communicate and share his progress with the rest of the team.
In short, Aghilès is an experienced and efficient developer who, with good guidance, can have a strong and positive impact on a project.
Recommendations
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Master in Artificial Intelligence — Data ScienceCentraleSupélec2020Une formation complète en partenariat avec Centrale Supélec qui nous teste devant un jury (plus de 7 soutenances) sur tous les aspects de la data science. Projets réalisés pendant la formation : ✓ Analyse des données de la Banque Mondiale sur les systèmes éducatifs nationaux ✓ Conception d’une application de santé publique utilisant les données OpenFoodFacts (statistiques multivariées) ✓ Anticipation de la consommation électrique des bâtiments publics de Seattle (régression supervisée) ✓ Segmentation marketing des clients du site e-commerce Olist (classification non supervisée) ✓ Automatisation de la classification de biens de consommation (TLN, vision par ordinateur, réseaux de neurones) ✓ Évaluation de la probabilité de défaut de paiement de clients et mise en ligne d’un tableau de bord (classification, API) ✓ Déploiement d’un modèle d’apprentissage profond dans le cloud (big data avec Spark sur AWS EMR)
- Bachelor's degree in Fundamental PhysicsUNIVERSITE Mouloud Mammeri, Tizi-Ouzou2019La formation est centrée sur la physique fondamentale qui s’appuie sur des mathématiques avancées ce qui m’a facilité la transition vers la data science, on peut y retrouver certains modules comme : • Algèbre • Analyse complexe • Simulation physique • Relativité restreinte
Certifications
- RNCP Level 7 Title in Artificial Intelligence — Data ScienceCentraleSupéléc & Openclassrooms2020