Description

I don’t just read AI research papers: I turn them into secure, global enterprise grade systems in Finance.

With 15+ years of full-stack engineering across microsecond-sensitive trading platforms and private banks (Rothschild, UBP), I specialize in bringing advanced Large Language Models (LLMs) into high stakes production. Backed by an Engineering degree from Institut Mines-Télécom and a specialized Deep Learning / AI diploma from Stanford, my greatest strength is full lifecycle independence. I take complex business problems from raw AI research and Proof of Concept (PoC) all the way to global deployment.

I build the whole machine. I am hands on across the entire modern stack:

-AI & Machine Learning: Prototyping (PyTorch, Hugging Face) & Agentic Workflows (LangChain, LangGraph, MCP).

-Backend & Systems: Low- atency microservices and APIs (C# .NET 8, Python, FastAPI, Node.js).

-Data & Cloud: Massive cloud native pipelines (Snowflake, PostgreSQL, Vector DBs) & AWS CI/CD (Docker, Kubernetes, MLOps).

-Frontend: Interactive user interfaces (React, TypeScript).

My focus is marrying high-speed data pipelines with modern AI to deliver reliable, 100% factual accuracy (Advanced RAG) at scale. Because I independently execute every phase: Research, Development, Testing, and Deployment. I effectively lead cross-functional teams and frequently deliver internal GenAI masterclasses to upskill entire engineering organizations.

Availability: Fully bilingual (English/French). Based in Switzerland (following a successful contract at Cargill). Available immediately for rapid relocation (EU/UK) or 100% remote roles (USA).

Industry field of expertise

Languages

English
Native or bilingual
French
Native or bilingual

Workplace preferences

Can work on-site

Lausanne (up to 50km), Geneva (up to 50km), Zurich (up to 50km)

Cargill — Ocean Transportation & Trading
Senior Software Engineer & AI Architect
April 2025 - Today (1 year and 2 months)
Geneva, Switzerland
• • LLM & RAG Production Deployment: Designed and shipped a custom GenAI ecosystem using advanced RAG and MCP (Model Context Protocol) that achieved 100% factual accuracy with zero hallucination, serving as a reference architecture for enterprise LLM deployment.
• • Cross-Stack AI Product Development (.NET + Python): Built end-to-end maritime trading applications on React + C# .NET + Python/FastAPI back-ends, including a real-time interactive mapping engine. Orchestrated LLM-powered API services and automation workflows that delivered measurable impact across the product.
• • Scalable Cloud-Native Infrastructure: Designed high-performance data pipelines across PostgreSQL and Snowflake. Orchestrated resilient deployments on AWS using Docker and Kubernetes, maintaining 99.9% uptime globally.
• • AI-First SDLC Leadership & Training: Partnered with engineering leadership to establish AI-assisted development standards (Cursor, Claude, Codex) and delivered GenAI masterclasses for 30+ engineers across French- and English speaking teams, raising the technical ceiling of the team by translating complex LLM concepts into actionable engineering practices.
Stack: Python, PyTorch, TensorFlow, TypeScript, React, Next.js, C# .NET, PostgreSQL, Snowflake, AWS, Docker, Kubernetes, Terraform, LangChain, LangGraph, RAG, MCP, LLM Architecture, Embeddings, Vector Search, Agentic Workflows
Safeguard Global & Healthcare AI Startup
Applied AI Engineer & Full-Stack Developer
September 2023 - March 2025 (1 year and 6 months)
•End-to-End AI for Regulated Industries: Delivered production deep-learning models in Python and PyTorch for a healthcare AI startup: owned the full ML lifecycle from data pipelines, training, and evaluation metrics through to explainable, compliant model outputs in a regulated environment.
•LLM-Powered Document Automation: Architected intelligent document extraction workflows using LLMs, Azure Logic Apps, and REST APIs, cutting manual reconciliation effort by 60%. Served as the primary technical point of contact across client onboarding, integration, and post-deployment iteration.
•Client Communication & Technical Guidance: Delivered cross-functional technical training across English and French-speaking stakeholder groups, translating model behaviour and integration trade-offs into clear business outcomes.
Stack: Python, PyTorch, TensorFlow, LangChain, Hugging Face Transformers, TypeScript, C# .NET Core, Blazor, SQL Server, Azure DevOps, Azure Logic Apps, REST APIs, FastAPI, Fine-Tuning, PEFT, LoRA, MLflow
Khephren / Rothschild (Private Banking)
Solution Architect
January 2022 - August 2023 (1 year and 7 months)
• • Azure OpenAI Customer Integration: Led one of the first Azure OpenAI integrations at Rothschild, designed AI assisted multilingual client report generation, reducing analyst prep time and demonstrating how LLM APIs can be embedded in complex, regulated production workflows.
• • Architectural Modernisation & High-Performance Delivery: Led the migration from legacy ASP.NET to .NET 6, redesigning the architecture for a high-volume Node.js + Angular reporting engine serving hundreds of portfolio reports simultaneously, improving throughput and slashing server costs.
• • Security & Compliance Architecture: Designed SSO and 2FA authentication systems in C# for banking-grade access control, ensuring GDPR compliance and satisfying institutional security reviews.
Stack: Python, TypeScript, React, Angular, Node.js, .NET 6, Azure OpenAI, LangChain, Prompt Engineering, Embeddings, Semantic Search, Azure Logic Apps, Oracle, PL/SQL