Oscar Vallée
- I am driven by the desire to invest myself in innovative and ambitious projects that tackle today's challenges and anticipate the issues of tomorrow. I care deeply about putting my skills at the service of exciting initiatives that give meaning to my work.
- I'm a tech enthusiast and a builder at heart — but what drives me most is the space where customer insight meets product vision and technology.
- As CTPO, I led both the engineering and product functions, working closely with customers to identify unmet needs, shape the right product response, and build the technical foundation to deliver it. That dual lens — deeply technical, yet customer and product-oriented — is what I bring to every role.
- I have recently expanded my AI engineering depth, having completed ByteByteAI's AI Engineering Cohort 4, where I built end-to-end systems across LLMs, RAG, AI agents, reasoning models, and multimodal generation. My capstone was an AI compliance agent for EU cosmetic regulation — a project that combined technical rigor with real-world applicability.
- I'm looking for my next challenge in an AI-native company — somewhere I can sit at the intersection of strong technical depth, product strategy, and customer obsession.
- What I bring: Executive experience leading product and engineering simultaneously / Hands-on full-stack and AI engineering skills across the modern stack / A track record of translating customer problems into shipped products / The ability to go deep on technology while keeping the customer at the center
Experience
Co-founder & CTPO
Medestia Solutions
Paris, France
Led the technical strategy and end-to-end development of Medestia, a B2B SaaS solution for healthcare professionals (4 interconnected Apps + 1 API).
Technical Achievements & Architecture:
- Design & Development: Designed scalable software architecture and handled fullStack development (React / Next.js, Nest.js / Node.js).
- Cloud Infrastructure: Deployed on AWS (Fargate, Docker, S3, DocumentDB) using an Infrastructure as Code approach.
- Security & Compliance: Managed strict regulatory constraints (Health data, GDPR) and cybersecurity standards.
- DevOps: Implemented CI/CD pipelines (Gitlab) to automate deployments.
Product & Strategy:
- Product Management: Defined the roadmap, handled UX/UI design, and managed iterations based on user feedback.
- Leadership: Managed recruitment and defined the tech culture.
Embedded Systems & IoT Engineer
Astek
Paris, France
[Mission 2] Sagemcom (12 months) – Automation and Validation Engineer. Context: Development of a new DOCSIS 3.1 gateway for US & EU markets.
- Designed and developed a custom Python framework to automate the validation process.
- Reduced testing time by enabling automated script generation for conformity checks against international standards and client requirements.
- Key tasks: Project Management, Framework development, Automation, System V&V.
Embedded Systems & IoT Engineer
Astek
Paris, France
[Mission 1] SEFI (12 months) – Design and Validation Engineer. Context: Development of embedded systems for fire safety solutions.
- Defined product specifications and managed the validation strategy for critical safety systems.
- Ensured product compliance with strict industry standards and customer requirements.
- Key tasks: Product requirements, Test case writing, Sprint planning, System V&V, Bug tracking.
Software Validation and Integration Engineer
Dali Wireless
Vancouver, BC, Canada
Within the validation and integration unit, I ensured the quality and conformity of software developed for mobile and internet coverage solutions.
- Test Automation: Designed and automated test plans using Python scripts.
- CI/CD: Deployed validation scripts on Bamboo for Continuous Integration/ Delivery.
- Quality Assurance: Wrote test plans, tracked bugs, and analyzed system failures.
- Compliance: Ensured software met all technical specifications and requirements.
Education
Dublin City University
Master of Engineering - Internet of Things (IoT)
MEng in Electronic and Computer Engineering with a major in Internet of Things (IoT).
ECE Paris
Master of Engineering - Embedded Systems
MEng with a major in Embedded Systems.
Skills
Technical LeadershipFull-Stack Software EngineerEmbedded SystemsIoTJavaScriptTypeScriptNode.jsReact.jsNext.jsNest.jsPythonDevSecOpsCI/CDDockerCloud ComputingAWSMongoDBPostgreSQLAI Software EngineerLarge Language Models (LLMs)Retrieval Augmented Generation (RAG)AI AgentsMulti-Agent SystemsProduct StrategyProduct ManagementEngineering ManagementBusiness DevelopmentCustomer DevelopmentScrumbanUX/UI
Languages
French
Native
English
Bilingual
Certifications
AI Engineering Cohort 4 – ByteByteAI
Become an AI Engineer
Completed a 6-week applied AI engineering program by ByteByteAI, focused on building production-ready AI systems from the ground up. Developed both theoretical understanding and practical skills across the full modern AI stack, delivering 5 working prototypes across core AI engineering domains.
Core Areas of Study & Projects:
- LLM Foundations — Studied how large language models are built, covering tokenization, transformer architecture, model training and evaluation, supervised fine-tuning (SFT), and reinforcement learning from human feedback (RLHF). Built an LLM playground implementing core mechanics at a low level.
- Retrieval Augmented Generation (RAG) — Designed and implemented retrieval systems using vector databases and approximate nearest neighbor search. Applied prompt engineering and model adaptation techniques. Built a fully functional customer support chatbot powered by RAG.
- AI Agents — Implemented agentic systems with tool calling, reasoning loops, and the Model Context Protocol (MCP). Studied ReAct and other common agent patterns. Built a Perplexity-style answer engine leveraging tools and live web search.
- Reasoning LLMs — Explored inference-time and training-time scaling strategies, techniques to improve model reasoning, and the key differences between reasoning and non-reasoning LLMs. Built a multi-agent deep research system.
- Multimodal Generation — Studied generative model architectures including VAEs, GANs, autoregressive models, and diffusion models (core focus), along with image and video generation and production efficiency techniques. Built a multimodal assistant with intelligent routing between text, image, and video modalities.
- Capstone Project — Designed and built an AI agent combining a custom rule engine as a tool with Retrieval Augmented Generation to determine whether a substance can be used in a cosmetic product, based on EU Regulation (EC) No 1223/2009. The prototype demonstrates a compliance reasoning architecture applicable across other regulated industries.