Freelancer profile translated to English.

Description

Hello 👋

I am Quentin Velard, a freelance engineer specializing in web scraping, big data, automation, and artificial intelligence.

Based in Paris, I help companies extract competitive insights, massively automate processes, and deploy generative AI solutions to accelerate their growth and drastically reduce their operational costs.

Among the services I offer (non-exhaustive list):

✔️ Web Development: modern and conversion-optimized websites

✔️ Web Scraping: bypassing the most advanced anti-bots (Cloudflare, PerimeterX, DataDome…)

✔️ Automation: Excel/Google Sheets, web actions, intelligent n8n pipelines

✔️ Cloud/on-premise/embedded (AWS, Azure) AI model deployment: YOLO; MobileNet...

✔️ API Creation & Integration

✔️ Data Cleaning, Enrichment, and Valuation

My technical skills (stack oriented towards performance & innovation):

🔹 Advanced AI & Generative Models: Agentic AI, LLM (fine-tuning, RAG, autonomous agents), VLM, Vision-Language-Action Models (VLA), MCP (Multi-Modal Chain-of-Thought), quantization (llama.cpp, MLC), edge AI, PyTorch, TensorFlow, Hugging Face Transformers, Qiskit (Quantum ML), UNET, scalable CNNs

🔹 Languages: Python (primary), React, JavaScript

🔹 Databases: SQL, PostgreSQL, MongoDB

🔹 DevOps & Cloud: CI/CD, Docker, AWS, Azure

🔹 No-code/low-code Automation: n8n, intelligent workflows

Concrete experiences:

👨‍🎓 Graduate of École des Mines de Nancy (5th place in the L’Étudiant 2025 Ranking)

👨‍💻 Data experience in a large CAC40 company

👨‍💻 +20 freelance missions

Ready to deploy AI agents, scrape complex data, or automate your processes at scale?

Contact me at

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Stmicroelectronics
Machine Learning Engineer
February 2025 - Today (1 year and 4 months)
Grenoble, France
– Evaluated radiation effects on semiconductor components using AI-based methods.
– Developed a tool for predicting component sensitivity based on physical descriptions.
– Transitioned the tool into production for CMOS 40nm technology.
Python Computer Vision & Image Processing Machine learning AI Agents Technical Project Management
RMIT University Laboratory
Quantum Machine Learning Intern
February 2024 - July 2024 (5 months)
Melbourne VIC, Australia
– Co-author (2024), QCORD: Quantum Continual learning with Representation Distillation in Variational Quantum Algorithms, under peer-reviewing for IEEE submission.
– Adapted a classical incremental learning algorithm into a quantum version within an MLOps framework.
Machine learning Deep Learning Python AWS S3
Bpifrance
R&D Analyst Intern
PUBLIC SECTOR
June 2023 - December 2023 (6 months)
Paris, France
Evaluation of startup funding opportunities within the framework of the France2030 project. Techno-economic analysis of innovative projects.
Front-end Interface Development Project Management Positioning Strategy Technical Project Management AI and Advanced Analytics