Freelancer profile translated to English.

Description

Doctor in Artificial Intelligence from École Polytechnique, ex-CTO & co-founder (Entrepreneur First and Station F), I design and develop web applications, AI agents, and data/AI systems,from simple and quick projects to execute to complex platforms deployed at scale.

I notably built an AI SaaS platform deployed in over 20 operational environments, with a time-series forecasting engine driving over 200 daily streams, 99.9% availability, and measurable business gains (+5 to 15% productivity, automation equivalent to ~1 FTE per site).

👉 I also undertake lighter or more targeted projects, without unnecessary complexity:

• Simple web apps (POC, MVP, dashboards, internal tools)

• AI Agents (LLM, business agents, internal copilots, intelligent automation)

• Process automation and data workflows

• Optimization and automation algorithms

• Data pipelines, Python scripts, APIs

• Improvement, reliability, or deployment of existing systems

My approach is pragmatic and impact-oriented:the right level of AI and technology to serve the business need, without over-engineering.

I work end-to-end:

• Product & technical scoping

• Backend / data / cloud architecture (AWS, GCP)

• AI Agents, ML, optimization, automated decision-making

• Deployment, MLOps, monitoring

• Development of business-oriented web applications

What my clients appreciate:

• Quick understanding of complex issues

• Ability to simplify and secure technical choices

• Complete autonomy, from scoping to delivery

• Robust, scalable, and truly useful solutions

Whether you need a targeted AI agent, a simple and efficient tool, or an advanced intelligent system, I adapt to your context and priorities.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Alki
Co-founder & CTO
March 2022 - December 2025 (3 years and 9 months)
Paris, France
AI SaaS platform for warehouse operations: forecasting, capacity planning & productivity optimization
• Built and scaled an AI product deployed across 20+ warehouses, supporting real-world operational decision-making
• Led the design and industrialization of a time-series forecasting engine managing 200+ time series daily (workload / capacity prediction)
• Delivered 42 PoCs / pilots, driving adoption through iterative product discovery and customer feedback loops
• Improved workload forecasting performance by +15% accuracy, increasing planning reliability and reducing operational risk
• Generated measurable business impact: ~1 FTE saved per warehouse and +5–15% productivity gain depending on warehouse activity
• Achieved 99.9% platform availability through production-grade MLOps, monitoring, QA, and release discipline
• Reduced customer integration time from weeks to minutes via standardized data connectors, automation, and deployment workflows
• Designed and delivered 5 web applications
• Managed the full product & tech strategy: architecture, roadmap, cloud partnerships (AWS / GCP / NVIDIA) and engineering execution
• Led end-to-end delivery: data ingestion, feature engineering, model training, backtesting, deployment, monitoring (MLOps)
• Built and managed a cross-functional team of 6 engineers (product, ML + software), including hiring, onboarding, handling sprint planning, prioritization and delivery quality
• Supported revenue growth to ~€200k/year, aligning product development with commercial objectives
• Managed product/tech budgets and prioritized delivery against business constraints
Artificial Intelligence Python Project Management CTO CPO
Entrepreneur First (EF)
Founder in Residence
September 2021 - February 2022 (5 months)
World-class venture building program for founders
• Selected to join Entrepreneur First, focusing on 0→1 venture creation, customer discovery, and product validation
• Incorporated into the Station F startup program, leveraging its network of founders, mentors and operators
• Incorporated into the Wilco program, benefiting from structured support on fundraising, go-to-market and execution
• Ran intensive customer interviews to identify high-impact operational pain points and validate market opportunities
• Designed early product vision, positioning, and business assumptions, supported by rapid prototyping and iteration
Product Discovery Startup Incubator
TotalEnergies
AI Research Scientist
October 2020 - September 2021 (11 months)
• Managed multiple reinforcement learning (RL) R&D projects, coordinating research direction, execution, programming and stakeholder communication
• Led a strategic academic partnership between École Polytechnique and TotalEnergies on a €5M+ program focused on a Home Energy Management System (HEMS)
• Conducted applied research on microgrid energy management using Deep Reinforcement Learning, collaborating with the controlling team to test algorithms on a real-world use case near Lyon
• Created and led a wind farm optimization initiative spanning both design and operations, including offshore wind farm layout optimization pre-construction and wind farm control optimization using Deep RL
• Supervised a 3-person team, covering: wind layout optimization, wind turbine yaw control optimization, and wind farm simulation modeling
• Co-created and launched the first Hi! PARIS hackathon, fostering collaboration between industry and the AI research ecosystem
• Built strong research collaboration with LMD (Laboratoire de Météorologie Dynamique), École Polytechnique, contributing to the Trend X research program
Python Artificial Intelligence Reinforcement Learning Project Management