Freelancer profile translated to English.
Back to original languageAbout Mohamed Ali
Be engineers, not just developers.
Fractional CTO and Data / AI Architect, I support management (Executive Committee/IT Departments) in their most critical challenges: R&D structuring, "Data Factories" creation, and strategic AI integration. My role: transform technology into a genuine growth lever, perfectly aligned with your financial imperatives (ROI, FinOps, Time-to-Market).
🏆 TRACK RECORD:
⚙️ EXPERTISE & TECHNICAL STACK:
1. Data Engineering & Cloud
- Data Lakehouse & ETL: DuckDB, PostgreSQL, PostGIS, dbt, Dagster.
- Cloud & FinOps: AWS (ECS Fargate, Serverless), extreme cost optimization.
- Industrial Scraping: Distributed collection factories, anti-bot bypass.
2. Artificial Intelligence
- LLM Integration (Mistral, OpenAI) to Legacy IS (FastMCP, Swagger/GraphQL).
- Multi-Agent Systems (Swarm) and RAG architectures.
3. Leadership & Product
- Transitional CTO: Technical audit, IT Due Diligence, Agile/DevOps structuring.
- Frontend: Angular 18 (Zoneless), massive spatial WebGL rendering (Deck.gl).
Full autonomy, strong financial culture, and pragmatism. Give me a complex problem, I'll find the solution.
Let's discuss your challenges!
French
Native or bilingual
English
Native or bilingual
Spanish
Fluent
Bambara
Fluent
Tamazight
Native or bilingual
Can work on-site
Paris (up to 50km), Lyon (up to 20km), Lille (up to 20km), Rennes (up to 20km), Bordeaux (up to 20km)
Experience
- UpfundCTO & Co-founderREAL ESTATEAugust 2022 - Today (4 years)Paris, FranceCo-founded the company and led global technology for a B2B SaaS platform (Market Intelligence). Managed product vision, from "from scratch" ideation to commercialization and critical deployment for institutional players (Auvergne-Rhône-Alpes Region, CBRE, BNP Real Estate).👥 Founder Strategy, Leadership & Delivery:
- Defined product vision and managed the transition from a "Consulting/Agency" model to a highly scalable B2B SaaS platform.
- Managed "Bootstrapping": Undertook complex Data consulting missions to generate short-term revenue (Cash-Flow) to finance proprietary product R&D.
- Structured the R&D department in a constrained environment: recruited and mentored a team of 5 engineers (from junior to autonomous operational).
- Represented the company institutionally (European Space Agency, National Assembly, Hub France IA) and led technical Due Diligences resulting in a seed funding round (€1.3M).
⚙️ Data Factory & FinOps:- Designed a distributed extraction infrastructure (Scrapy, Selenium Grid on AWS ECS) to ingest and deduplicate millions of heterogeneous data points (DVF, Cadastre, Sirene).
- Replaced heavy architectures with an in-memory "Data Lakehouse" using DuckDB and GeoParquet files (AWS S3), massively reducing Cloud costs.
🤖 Artificial Intelligence & GIS:- Created a multi-LLM AI hub for extracting unstructured data.
- Developed a high-performance mapping interface (Angular 18 / Deck.gl) driven by AI (Agentic UI).
- Fédération Française de FootballSoftware Engineer (Distributed Systems)SPORTSJanuary 2022 - July 2022 (7 months)Paris, FranceMaintenance, evolution, and security of the National Information System managing data for millions of sports licensees.⚡ High Availability & Resilience:
- Designed and optimized the national registration application to handle extreme load peaks (hundreds of thousands of requests/day during the September sports season).
⚙️ Asynchronous Architecture & Operations:- Advanced use of messaging systems (RabbitMQ) to decouple heavy business processes (license generation, validations) from the main flow.
- Developed and Maintained in Operational Condition (MCO) a heterogeneous stack: asynchronous backend (Python), document database (MongoDB), and legacy interfaces (AngularJS).
- Société Générale (SGCIB)Software Engineer / Commando Developer (FOLAB)BANKING AND INSURANCEMay 2017 - October 2021 (4 years and 5 months)Paris, FranceEvolution within the R&D unit (FinTech) then integration into the "FOLAB" (Front Office Lab) team on the Equity Derivatives desk. Direct support for traders and design of tools with very high financial impact.💰 Algorithmic & FinOps (Project "3 Million"):
- Designed and deployed a "Netting" algorithm (internal offsetting) across desks (Volatility, Hybrid, Forex) for end-of-day portfolio balancing.
- Result: Cancellation of public market order placement, generating direct savings of over 3 million euros in brokerage fees.
📊 Market Intelligence (Project "Discovery"):- Developed a real-time data aggregator (internal Bloomberg / TradingView type).
- Hybridized complex data streams (internal data, external news, tickers) using responsive UIs to optimize Front Office decision-making.
⚙️ Maintenance in Operational Condition (MCO):- Took over, secured, and maintained heavy financial legacy systems (VBA, complex Macros).
- Resolved critical incidents in real-time under very high pressure.
🚀 Intrapreneurship (Project "Métis"):- While awaiting administrative CDI, developed in "One Man Army" mode (1 month) an MVP SaaS for Risk Governance (MRM) modeling regulatory lines of defense (LOD1/2/3).
Recommendations
BL
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Education
- Master MIAGE (Information Systems Management Applied Methods)Université Grenoble Alpes2018🎓 Double Compétence Tech & Business : Formation formant des ingénieurs capables de faire le pont entre les enjeux stratégiques des directions métiers et l'architecture des Systèmes d'Information (SI). Architecture & Ingénierie Logicielle : Systèmes distribués, bases de données avancées, algorithmique, développement Fullstack. Gestion d'Entreprise : Comptabilité analytique, contrôle de gestion, finance, management des organisations et gestion de projets complexes (Agile).
- Bachelor's Degree in Mathematics and Computer Science / MIAGEUniversité Grenoble Alpes2016📐 Fondations Scientifiques : Socle académique fondamental et intensif en sciences dures, préparant à l'ingénierie des données et à la modélisation complexe. Mathématiques & Algorithmique : Statistiques, probabilités, algèbre linéaire, optimisation mathématique (fondations indispensables pour le Machine Learning et la Data Science). Informatique Fondamentale : Architecture des systèmes, structures de données, programmation orientée objet, et conception de bases de données relationnelles.