David El Malih

Co-founded and scaled billiv from a blank page to a high-availability platform serving over 1M+ users and processing 20M+ transactions. Handled the dual responsibility of technical vision (Architecture, AI, DevOps) and business alignment (Product Roadmap, Fundraising, Team Growth).

Key Achievements:
Engineering Leadership & Delivery:
• Built the initial core product solo, then recruited and manag

Designed and deployed a highly scalable, serverless ETL pipeline on AWS for a major pharmaceutical account, transforming raw mobile application data into actionable business insights.

Key Achievements:
• Cloud Architecture & Data Ingestion: Architected a 100% Python serverless pipeline designed to scale for a target of 1M users, seamlessly processing ~20MB of raw data per user.
• Infrastructure a

Developed state-of-the-art Deep Learning models for a medical deeptech startup (CentraleSupélec / Inria spin-off) specializing in AI-assisted radiotherapy.

Key Achievements:
• Production-Grade AI: Successfully developed and transitioned advanced 3D medical image registration models (both rigid and deformable) from research to the official production software.
• High-Precision Modeling: Engineered

Led advanced Applied AI and Computer Vision R&D for a B2B mobile retail solution, developing high-precision models integrated into server-side production pipelines on GCP.

Key Achievements:
• High-Accuracy Object Detection: Designed and optimized custom Faster R-CNN architectures to detect small, physically dense objects in retail environments, achieving a 95% mAP.
• Image Segmentation & One-Shot

Engineered and successfully delivered three high-stakes software and AI prototypes for major enterprise clients, culminating in successful strategic presentations directly to Executive Committees (Comex).

Key Projects & Deliverables:
• AccorHotels (IoT & Safety): Designed and built an IoT security device to protect hotel staff. Implemented a full-stack system utilizing LoRaWAN, Arduino, RFID/NFC,

Architected and developed the entire full-stack web platform for an online driving school (conduitecenter.fr), transitioning manual business workflows into a unified, automated SaaS.

Key Achievements:
• End-to-End Product Delivery: Built core operational modules from scratch, including an automated instructor-student scheduling engine, online payment integration, automatic contract/invoice genera

Architected and developed a full-stack SaaS web platform for an online driving school, automating key business workflows. Built end-to-end features including scheduling, payments, contract/invoice generation, and cash flow tracking while modernizing a legacy PHP/MySQL system.

Developed real-time computer vision and facial recognition software embedded directly within an autonomous vehicle prototype.

Key Achievements:
• Real-Time Embedded Systems: Implemented and optimized an automated autofocus software for infrared cameras running under strict hardware constraints in a live vehicle prototype.
• Algorithm Validation: Designed and executed automated validation test sui

Top-tier French Engineering School (Grande École), ranked among the best in Europe for Engineering and Computer Science. Equivalence: Master's Degree in AI and Software Engineering.

Core focus: Advanced Machine Learning, Computer Vision, Neural Networks, Advanced Mathematics, and Scalable Software Architecture.

Completed a Master of Science in Artificial Intelligence at CentraleSupélec (2016–2020), focusing on advanced machine learning, computer vision, neural networks, and scalable software architecture.

A highly selective, 2-year intensive program in advanced Mathematics and Physics preparing for the competitive entrance examinations to top-tier French Engineering Schools (Grandes Écoles). Equivalence: Bachelor’s level intensive specialization in STEM.

Completed a highly selective two-year advanced post-baccalaureate program in advanced mathematics and physics (2014–2016) preparing for competitive engineering school entrance exams.