I am a builder who loves breaking things to make them stronger. I spent 4 years as the first engineer at Wethenew, helping scale it from a garage startup to one of Europe's largest e-commerce platforms (€100M+ GMV). I architected the backend that handles 350M+ requests/month and automated our entire supply chain. After Wethenew, I went back to my roots: hacking and high-frequency automation. I bootstrapped niche ventures by reverse-engineering enterprise anti-bot systems and scaling automated purchasing systems to $600K ARR. After a short stint combining offensive security DNA with AI — am looking to apply it in everyone's life now.
Taking the opportunity to play with AI and how it morphs into our daily lives.
Partnering with the Hexa team (builders of Front, Aircall, Spendesk) to build the next generation of Offensive Security software.
- Building the first AI-native penetration testing firm for SMBs
- Developing autonomous red-teaming agents capable of reasoning, exploiting vulnerabilities, and writing ready-to-merge remediation code
AI & data engineering for one of France's top housing platforms.
- Maintain & scale data crawlers sourcing 32% of site-wide housing listings
- Integrated & fine-tuned LLMs (Gemma) for NLP tasks, improving ad quality & information extraction
- Developed data validation/augmentation pipelines for AI model consumption
Took time to focus on Penetration Testing / Offensive Security, Reverse Engineering, and AI Agents. Bootstrapped and scaled several technical projects.
- Engineered a high-frequency ticket purchasing system (TypeScript) handling massive concurrency. Bypassed enterprise-grade anti-bot measures (Cloudflare, Akamai, QueueIT) headlessly. Scaled to $600K ARR
- Built and managed profitable niche SaaS tools including Dineseat ($3K MRR) and Offermagnet
- Fine-tuned Gemma/Llama models for NLP tasks and built data crawlers sourcing 32% of housing listings for a major aggregator
- Architected AI dating app "DateToday" (Flutter, TS, FastAPI) using Grok/Gemini multimodal LLMs with 90% beta satisfaction
Joined as the very first developer and helped scale the platform into one of Europe's largest e-commerce marketplaces (1M+ users, €100M+ GMV).
- Architected core e-commerce backend (NestJS, MySQL, Redis, AWS) scaling to 500K+ orders/year & 350M+ API requests/month (99.99% uptime, ~70ms P95)
- Designed, trained (PyTorch/Fastai on 500K+ dataset), & deployed predictive ML system automating 70% of inventory sourcing within 1 month
- Resolved critical DB performance bottleneck via indexing, RDS read replicas & ElastiCache migration
- Engineered CI/CD pipelines (GitHub Actions) & led migration to AWS (ECS, Lambda, EventBridge)
- Helped build the tech team from 1 to 25+ engineers; led two agile squads focused on Supply Automation and Logistics
- Led development of internal Flutter mobile apps for logistics & retail operations
Secured 1st place among top European engineering teams.
- Led a team of 4 to build a real-time computer vision analysis tool
- Recognized for speed of execution and algorithmic efficiency