About Tom
🚀 AI Developer | LLMOps, AI Agents, RAG | +20 Generative AI projects
Deliverable Examples
My Process
French
Native or bilingual
English
Fluent
Korean
Conversational
Italian
Basic
Experience
- XenosLabsCo-Founder | COO | Software EngineerSOFTWARE PUBLISHINGJune 2024 - April 2026 (1 year and 10 months)Paris, France
Co-founder & Software Engineer
As a co-founder, I conceptualized and developed several innovative projects at the intersection of AI and sports content, in a constantly evolving environment marked by several strategic pivots.Achievements
- B2C AI Platformcombining RAG and statistical models providing real-time insights to +50k users.
- Machine learning modulegenerating real-time analytical predictions of athlete performance.
- AI Agentspublishing news for +30 clubs in collaboration with OneFootball, significantly enhancing their acquisition and user engagement.
- Serverless infrastructureautomating the production and distribution of AI-generated highlight videos (LLM video understanding + computer vision YOLO, SAM, DINO) for multiple clubs.
Technical Stack
Python, FastAPI, LLMs, Next.js, Typescript, MongoDB, Redis, Docker, AWS, Google Cloud, Azure, Serverless, Lambda, YOLO models, GitHub ActionsBeyond pure development
- Understanding investor (VC) expectationsand successfully raising $100k in pre-seed funding.
- Product management and strategic decision-making
- Prospecting and client relations
- Market analysis and rapid adaptation to user feedback
- CochlSoftware Engineer - BackendSOFTWARE PUBLISHINGJanuary 2022 - June 2024 (2 years and 5 months)Séoul, South Korea
Context
Within an international team in South Korea, I led the backend development for an AI-based audio recognition project, ensuring the high availability and performance of a distributed audio inference system deployed across various model applications.Achievements
- Distributed microservices systemin Go & CNCF Cloud Native stack ensuring high availability and fault tolerance for audio inferences.
- Centralized monitoring(Prometheus, Grafana, Loki), enhancing system visibility and production resilience.
- Real-time IoT monitoring and alerting platformcollecting and analyzing data from IoT devices, strengthening security and operational responsiveness.
- **Lead of multi-team projects**: coordination with frontend, mobile & design teams to deploy coherent and scalable solutions.
Technical Stack
Golang, Python, Docker, Kubernetes, EKS, PostgreSQL, Cloud Native Computing Foundation, ArgoCD, Kustomize, Istio, Grafana, Prometheus, Loki, NATS, Github Actions - InpulseFullstack Developer React.js Node.jsAGRICULTUREOctober 2019 - October 2020 (1 year)Paris, France
Context
Fullstack developer for a SaaS platform for inventory management and stock optimization for the restaurant industry, integrating Artificial Intelligence models.Feature Development & Continuous Improvement
Full Stack Development of New Features: Complete implementation (FE / BE) of new web application features, aimed at improving the accuracy of AI forecasts and the efficiency of inventory management processes.Design and User Experience (UI/UX) Integration: Implementation of design mockups into performant React.js components, ensuring an intuitive and professional user interface for end-users.RESTful API Creation and Optimization: RESTful APIs to support interactions between the Front-end, AI models, and the database, including API query optimization for maximum performance.Data Model Management: Implementation and maintenance of data models ensuring the consistency and integrity of inventory, order, and analysis (AI) results information.Code Quality and Robustness: Regular bug tracking and fixing, combined with code cleanup and optimization efforts, to ensure platform stability, maintainability, and scalability.Technical Stack
React.js, Node.js, Express.js, PostgreSQL, Redux, RESTful API, Responsive Design
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Education
- Expert Informatician DiplomaEPITECH Paris2020