About David
◉ My clients : ⤵︎
French
Native or bilingual
English
Native or bilingual
Italian
Conversational
Spanish
Conversational
Experience
- Havas SASenior Backend DeveloperPRESS AND MEDIASeptember 2025 - Today (9 months)London, United KingdomSenior Backend Developer at Prose on Pixels, a startup incubated within the Havas group specializing in AI-driven creative and advertising production.Working on Vermeer AI, an all-in-one creative AI platform enabling agencies, creative teams, and major brands to orchestrate, secure, and monetize the use of multiple generative models (images, videos, 3D, LLMs).🏆 Key Results✔ Transformed a promising AI MVP into an industrializable, secure, and monetizable B2B platform✔ Significantly accelerated the integration of new AI models, maintaining competitiveness in the rapidly evolving GenAI market✔ Implemented a robust credit system, adapted for non-deterministic AI APIs✔ Platform used by ~3,000 users (internal Havas teams and pilot clients)✔ Full platform monitoring, centralized logging, and real-time alerting with Grafana🔧 Technical Contributions & Responsibilities◉ Structuring and refactoring the backend architecture in a highly ambitious and iterative AI startup context◉ Designing a generic input/output orchestration system for rapid integration of heterogeneous AI models◉ Event-driven architecture for credit management (SQS):• temporary credit blocking during execution• final debit only upon successful completion• clean and controlled ledger, without complex refunds◉ Implementing fine-grained RBAC per user × resource (entities, accounts, workspaces, folders)◉ Observability & Monitoring:• centralization of application and business logs• Grafana dashboards (performance, errors, usage, costs)• proactive alerts for incidents and usage drifts◉ AI FinOps Optimization: reducing LLM costs, balancing performance/quality/cost◉ Close collaboration with DevOps, Product, QA, and Creative teams in a fast-paced startup environment
- CREDIT AGRICOLE SAFull Stack / DevOps DeveloperBANKING AND INSURANCEJuly 2025 - November 2025 (4 months)Paris, FranceLead Full Stack & DevOps Developer on the design and end-to-end development of a group HR platform, aiming to standardize, secure, and govern HR data for 18 international entities, within a highly regulated banking context following CACEIS' integration into the Crédit Agricole group.HR Governance & Data Integration Platform:🏆 Key Results✔ Created the central core for group HR data, ensuring consistency, compliance, and traceability across 18 countries✔ Fully automated monthly HR integrations (files with thousands of lines)✔ Group ↔ entity traceability: precise tracking of integrations, delays, and non-compliance✔ Drastic reduction in manual HR processes and errors✔ Reliable data feed for downstream tools (Power BI, ServiceNow, Evidency, MyDev)✔ Platform became the reference entry point for CACEIS HR data🔧 Technical Contributions◉ End-to-end project management with full autonomy: business requirements, architecture, development, security, and deployment◉ Designed a data architecture from scratch: high-performance SQL modeling, historization, traceability, and long-term vision◉ HR Integration Engine:• validation of formats, data types, mandatory fields, and allowed values• vectorized DataFrame processing (Pandas / NumPy) for performance and scalability◉ Asynchronous integration jobs with automatic email reporting◉ Advanced multi-level RBAC (Group IT, Group HR, Entity HR, employees)◉ Secure REST API, consumed by the frontend and third-party services◉ Complete CI/CD: Docker, Jenkins, blocking tests (unit, integration, non-regression)🧠 Added ValueAbility to transform a complex international business need into a critical, robust, and sustainable platform, combining business vision, data governance, and high technical standards.
- TotalEnergies TOTSAFull Stack DeveloperENERGY AND UTILITIESJanuary 2025 - July 2025 (6 months)Genève, Switzerland
Full Stack & DevOps Developer on the MVP of an AI trading application
**Objective**: Automate and ensure the reliability of broker message analysis and optimize positions on energy commodities.**Tech Stack**: React • TypeScript • FastAPI (Python) • PostgreSQL • AWS ECS • CloudWatch • AI (NER & Prediction)🏆 Key Results:◉ Estimated annual gains of +$300 K from AI trading◉ Ultra-responsive interface with automatic data restructuring and short-term predictions◉ Custom personalization for each desk (views, color codes, filters)◉ Advanced visualization: interactive histories and model-generated scenarios🔧 Technical Contributions:◉ Real-time ingestion of IceChat messages and structuring via finely tuned NER◉ ETL pipeline (extract, transform, load) into PostgreSQL◉ Forecasting engine and FastAPI for instant scenario analysis◉ Frontend: WebSockets, graphical widgets, and annotation/preference interface◉ DevOps/CI/CD: automated deployment on AWS ECS, monitoring via CloudWatch◉ Sustainable architecture: scalable, coherent, and adaptable schemas
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Education
- Master of Science in Computer ScienceFaculty of Engineering Bar-Ilan University2021