Freelancer profile translated to English.
Back to original languageAbout Amir
Senior Backend Developer passionate about software design, robust distributed architectures, and best development practices.
At Infront, I contributed to the refactoring of a monolith into scalable microservices, developing high-performance APIs and critical real-time caching and computation solutions. I notably led a Redis cache service and a modular computation engine based on Infinispan, significantly improving system responsiveness and reliability. This mission was also marked by a win at the Infront 2021 Hackathon, where my team won the Best Client Value award for a solution with high client impact.
I apply methodologies like TDD, DDD, and hexagonal architecture daily, which promote system maintainability and modernization (e.g., seamless migration from MySQL to PostgreSQL). I place great importance on continuous improvement through code reviews, mob programming, CI/CD (GitLab, Jenkins), as well as monitoring and observability.
I also led a complete artificial intelligence project, developing a Unet segmentation model for medical imaging (OCT). This dual backend and AI expertise allows me to tackle complex problems and provide concrete, industrializable solutions.
My career has led me to take on Scrum Master and Lead Developer roles, mentor up to 15 developers, and disseminate best practices within multidisciplinary teams. Expert in Java 21+, Spring Boot 3, Kafka, Redis, PostgreSQL, Docker/Kubernetes, with skills in C++, Python, and Bash, I operate in demanding high-availability and high-volume environments.
Outside of coding, I compose music, host role-playing games, and play Magic: The Gathering.
👉 Need a senior Java expert combining technical rigor, teamwork, and innovation? Let's talk!
French
Native or bilingual
Hebrew
Native or bilingual
Spanish
Conversational
Japanese
Basic
English
Native or bilingual
Can work on-site
Paris (up to 10km)
Experience
- AInsightAI DeveloperMEDICALJuly 2024 - September 2024 (2 months)Paris, FranceAt AInsight, I participated in the development of a segmentation model based on Unet, applied to cross-sectional images of the eye (OCT). This work automated the analysis of complex medical images, strengthened the relevance of AI-assisted diagnostic tools, and laid the groundwork for future clinical applications.
- InfrontSenior Backend DeveloperBANKING AND INSURANCEJanuary 2020 - June 2024 (4 years and 5 months)Paris, FranceAt Infront, I was a member of the team responsible for refactoring the group's backend architecture. I developed and maintained a Redis cache loading microservice, ensuring near-instant data access, as well as a fast calculation and detection microservice based on Infinispan, providing great modularity and performance. My commitment was rewarded at the Infront 2021 Hackathon, where my team won the “Best Client Value” award for an innovative solution addressing a strategic client need.
- CerebrisTechnical Leader and Scrum MasterCONSULTING AND AUDITSJanuary 2018 - January 2020 (2 years)Paris, FranceAt Cérebris, I managed a team of 15 developers based in Hanoi, while leading the maintenance and evolution of a critical ExoPlayer-type secure player software layer. I contributed to major updates of the automatic testing platform, thereby enhancing the quality and reliability of deliverables. I also improved the license manager, which optimized and simplified client delivery processes, ensuring faster and smoother deployments.
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Education
- Computer Engineering specialized in Image Processing and Synthesis and Artificial IntelligenceESME Sudria2012Mémoire : Deferred rendering Projet de fin d'étude : Editeur d'images 3D (type Photoshop) Contenue de la formation : Un tour d'horizon des différentes techniques de rendu 3D, de l'intelligence artificielle appliquée au traitement d'images (reconnaissance de formes), réalité virtuelle, réalité augmentée, réseaux de neurones.