Steve G.

I co-founded Data League to offer consulting and engineering. I specialize in building things from client needs to production, mainly around AI models. I've also had the opportunity to train people to deep learning. Currently: Built two multi-tenant e-commerce products from scratch during 3 years. Handling full-stack development (front-end in Rust, back-end in Rust & Python). Everything is in production. • Led architecture, infrastructure, and CI/CD using Docker and GitHub Actions for fully automated deployment. • Driving product development toward launch.

• Led a team of ~25 network engineers to enhance development practices, driving efficiency and collaboration. • Authored comprehensive Python documentation for network domain, streamlining understanding and implementation. • Contributed to the software engineering board to standardize development practices across domains. • Participated in the development of a buildpack solution, facilitating smoother deployment processes. • Designed and implemented testing protocols to assess engineer proficiency and performance. • Developed two innovative tools: one for monitoring repository compliance with best practices and another to automate pull request proposals for alignment with standards. • Actively contributed to several inner source projects, fostering knowledge sharing and collaboration across the organization.

• Conducted data exploration and feasibility research to support the development of innovative solutions • Collaborated with cross-functional teams, including engineers and project managers, to align data-driven insights with business and technical objectives.

• Led the development and implementation of machine learning solutions for products that analyze and highlight the relationships between visual characteristics and media performance. • Architected and designed the overall infrastructure, ensuring scalability and efficiency • Developed and optimized feature extraction models to analyze visual data, enabling the identification of key attributes that influence media performance. • Collaborated closely with cross-functional teams, including executive / technical Director, to align machine learning models with business objectives and product goals. • Mentored and guided junior engineers • Conducted research and experimentation with the latest ML techniques

• Delivered comprehensive instruction on Artificial Intelligence (AI) principles, focusing on foundational concepts and practical applications. • Taught students how to build, train, and deploy neural networks using TensorFlow, covering topics such as data pre-processing, model architecture, training strategies, and optimization techniques. • Developed course materials, including lesson plans, tutorials, and hands-on exercises, to enhance learning outcomes. • Provided one-on-one mentorship and guidance, helping students to understand complex AI concepts and successfully complete projects. • Evaluated student progress through assessments and provided constructive feedback to improve their understanding and skills in AI and machine learning.

• Selected as a member of the inaugural Paris cohort of Entrepreneur First, the world’s leading company builder, known for identifying and supporting high-potential founders. • Co-founded Noxar, a startup focused on developing advanced analytics solutions for Virtual Reality (VR) environments. • Conducted market research and user testing to refine Noxar’s product offerings, ensuring alignment with industry needs and customer demands.

Context: Contributed to the development of iTwin Capture Modeler, a product enabling the automatic generation of multiresolution 3D models at any scale and precision. Models: - 3D segmentation - Image overlap - Depth map generation from image pairs.

• Developed an advanced open-source intelligence platform to categorize individuals based on their online conversations, leveraging large-scale data processing techniques. • Utilized Python with PySpark to efficiently handle and analyze large datasets collected from various sources. • Applied Natural Language Processing (NLP) techniques for named entity recognition and topic modeling, facilitating the automated discovery of key entities and discussion topics. • Developed algorithms for community detection and burst/event detection on social networks, identifying significant trends and emergent communities in online conversations. • Designed and deployed models for anomaly detection on firewall logs, enhancing security measures by identifying irregular patterns and potential threats. • Collaborated with cross-functional teams to ensure the platform's robustness and scalability, addressing technical challenges associated with processing and visualizing large volumes of data.

Development (with Java, Jade) and human centered technical tests of an application on interactive table (RFID) with tangible objects : - User interface - Artificial intelligence - Jade multi-agent platform - Development of a SDK - Design (UML)