Thomas V.

Conducting a complete audit of an API in a medical context. Analysis of all application layers (routes, controllers, middlewares, validation). Identification of critical and high vulnerabilities, production of a detailed report with a prioritized remediation plan.

Review of API architecture, code structuring, and development best practices. Identification of technical debt and provision of concrete refactoring recommendations.

Analysis of performance and data access patterns. Identification of stability risks and recommendation of targeted optimizations.

Regulatory compliance audit in a health data context. Identification of gaps with HDS requirements and ANSSI recommendations, with a compliance plan.

End-to-end IT and organizational project management, including needs framing, planning, solution deployment, and operational monitoring in a demanding industrial environment

Cross-functional coordination between IT teams, the project team, management, and the sales department to ensure alignment of technical and business objectives

Deployment of internal applications and business tools intended to improve operational processes and overall performance

Exploitation of data via SAP, extraction, analysis, and production of decision-making reporting under Power BI to support decision-making

Design and implementation of process improvements aimed notably at optimizing inventory management and reducing slow movers

Complete management of supplier disputes related to user needs, from problem identification to operational resolution

Facilitation of daily progress meetings, priority management, and management of budgetary and organizational constraints

Direct interface with project management, supply chain, and business development to ensure the coherence of actions taken

Contribution to a continuous improvement approach based on performance analysis and field feedback

Design and development of LEFA, an automated esports gameplay analysis application

Design of a high-performance video processing pipeline with a modular architecture

Development of a custom OCR trained on specific game characters, designed from scratch to overcome the limitations of standard OCR engines

Implementation of advanced statistical analysis algorithms

Integration of a CNN model (PyTorch) for image classification

Multithread optimization for high-performance video processing

Modular software architecture oriented towards extensibility

Technologies: Python / PyTorch / EasyOCR / Multithreading