Freelancer profile translated to English.
Back to original languageAbout Joseph
Software Engineer (Python, Go) | AI & Cloud Architecture | Scalable Systems | 7+ years of experience 🚀
An ambitious project? Need to integrate AI or scale your infrastructure?
I intervene at all stages: architecture of systems designed to scale from the outset, or refactoring of existing infrastructures to support explosive growth.
📈 Projects & Impact
I have supportedstartups, scale-ups, and large corporations**. My experience as **CTO at XenosLabsgave me a comprehensive vision of business and technical challenges.
Some concrete achievements:
- CTO XenosLabs : AI platform and agents for sports → pre-seed funding from Antler
- Lead Dev & DevOps Cochl : Infrastructure redesigned → -40% costs, performance improvement (real-time AI audio pipeline optimization)
- Lead Dev & DevOps Timeflik : Automated ordering and payment system → major new revenue stream (3M+ users)
- Full stack Dev Taster : Tools automating the supply chain → Series B $37M
- Full stack Dev Pernod Ricard : Business event management app for a major client
🤝 How can I help you?
🤖 AI Solutions: Integration of ML or LLM models, RAG architectures, and autonomous AI agents
⚡ Scalable Backend: APIs and backend services that handle load (Python FastAPI/Flask, Go, REST/gRPC)
☁️ Cloud Infrastructure: Cloud-native architectures (AWS, GCP, Kubernetes, serverless) optimized for scalability and cost control
🚀 DevOps & Reliability: CI/CD, Infrastructure as Code, and complete observability for fast delivery and confident deployment
💡 My working method
- In-depth analysis of your challenges before any implementation
- Tested, documented, and maintainable code
- Transparent communication with regular updates, visibility on progress
- Focus on performance and scalability
📞 Let's talk about your project to understand your challenges and propose an actionable roadmap.
French
Native or bilingual
English
Fluent
Korean
Basic
Can work on-site
Paris (up to 50km), Lyon (up to 50km), Rennes (up to 50km), Bordeaux (up to 50km), Toulouse (up to 50km)
Experience
- XenosLabsCo-founder & CTOSPORTSApril 2024 - Today (2 years and 4 months)Seoul, South Korea→ Context: Co-founder who developed an innovative AI platform for real-time sports analysis and automated generation of image and video content for sports clubs.-> Achievements:
- Development of an AI platform combining RAG and statistical models providing real-time insights to +50k users.
- Design of AI agents in Python publishing news for 30+ football clubs, increasing user acquisition by 500%.
- Optimization of the LLM infrastructure through token reduction and multi-provider orchestration, decreasing inference costs by 50%.
- Architecture of a serverless infrastructure automating the production and distribution of AI highlight videos (LLM + computer vision) for multiple clubs.
- Definition of technical direction and co-direction of product strategy, aligning technical and business objectives.
-> Tech Stack: Python, FastAPI, LLMs, LangChain, PyTorch, Next.js, MongoDB, Redis, Docker, AWS, LLMs, GitHub Actions, Lambda, ECS, SQS, ElasticSearch - CochlSoftware Engineer & DevOpsSOFTWARE PUBLISHINGJuly 2022 - April 2024 (1 year and 9 months)Seoul, South Korea→ Context: Ensuring the high availability and performance of a distributed audio inference system while ensuring scalability and optimizing infrastructure costs.-> Achievements:
- Implementation of a distributed microservices system in Go ensuring high availability and fault tolerance for audio inferences.
- Reduction of infrastructure costs by more than 40% through AWS resource sizing, auto-scaling, and S3 lifecycle management.
- Improvement of inter-service communication via NATS JetStream and gRPC, reducing latency by 35% and increasing the throughput of real-time audio pipelines.
- Integration of MLOps pipelines for synthetic data augmentation, improving performance by up to 20% on complex classes.
- Centralization of monitoring with Prometheus, Grafana, and Loki, strengthening incident detection and production stability.
- Implementation of a usage-based billing engine automating invoices and payments at scale, leveraging event streams and distributed transactions.
-> Tech Stack : Go, MySQL, Tensorflow, Kubernetes, ArgoCD, Istio, Helm, Docker, AWS, EKS, Github Actions, Prometheus, Grafana, Loki, NATS, Python. - TimeflikLead Software Engineer & DevOpsE-COMMERCEAugust 2021 - July 2022 (11 months)Seoul, South Korea→ Context: Modernization of a legacy infrastructure with modern DevOps practices and development of critical features to support a base of 3M+ users.-> Achievements:
- Development of backend services for user data management ensuring reliable performance for over 3 million users.
- Leadership of the migration to DevOps practices, reducing deployment time by 70% and achieving 99.9% availability.
- Design of a fully automated ordering and payment system with a microservices architecture, integrating third-party payment processors and ensuring reliable large-scale transactions.
- Coordination of backend, mobile, and product teams using agile methodologies.
-> Tech Stack : Python, Flask, Node.js, Express, MongoDB, PostgreSQL, SQLAlchemy, Typescript, Docker, Kubernetes, Terraform, Jenkins, Google Cloud Platform (GCP), Bitbucket.
Reviews
Stanislas
Stanislas Cuenat
Reviewed on 11/18/2025
I had the pleasure of collaborating with Joseph Hammad on my project, and I can only highly recommend him. Joseph was perfect from start to finish: professional, responsive, pedagogical, and proactive. He quickly understood the challenges, clearly explained each technical step, and provided relevant solutions while patiently guiding me.
Joseph has chosen to hide 1 review
Recommendations
TBDK
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Education
- Master Expert in Information TechnologyEPITECH2020
Certifications
- OPIcAmerican Council on the Teaching of Foreign Languages (ACTFL)2021