Description

With over 6 years of experience as a Full-Stack Engineer at my core, I specialize in turning complex product visions into scalable technical realities. My foundation is built on JavaScript and Python, allowing me to bridge the gap between high-performance backends and premium user interfaces.

During my time at IBM, I led critical projects for global clients like Shell (AI Governance) and Heineken (TDD Automation), where reliability, security, and "zero-downtime" architectures were non-negotiable.

Industry field of expertise

Languages

English
Native or bilingual
French
Native or bilingual
Arabic
Native or bilingual
Dutch
Conversational

Workplace preferences

Remote only

Primarily works remotely

IBM
Senior Software Engineer
DIGITAL AND IT
September 2021 - Today (4 years and 9 months)
Netherlands
As a Senior/Lead Engineer within IBM’s consulting arm, I drive technical strategy and execution across a diverse portfolio of global enterprise clients and internal high-scale products.

Featured Internal Project: IBM Talent-Sync (Product Lead)
While consulting for external clients, I acted as the Technical Lead for IBM’s "Project Marketplace," a mission-critical platform designed to match 5,000+ developers with global business units.

The Solution: Architected a hybrid Node.js/Python (FastAPI) matching engine that utilized NLP to parse developer CVs and generate real-time compatibility scores.

The Impact: Reduced resource allocation time by 40%, eliminating manual tracking for global staffing.
React.js AWS Python Node.js LLM
Shell
Team Lead
DIGITAL AND IT
February 2025 - December 2025 (10 months)
Amsterdam, Netherlands
As a Lead Engineer deployed to Shell, I architected and implemented an automated AI Governance Agent designed to enforce ethical guardrails and regulatory compliance across the company’s global data science initiatives.

Key Technical Contributions:

LLM Orchestration: Developed the core engine using Python (FastAPI) and LangChain to automate the auditing of AI models, ensuring they meet strict enterprise-grade compliance standards.

Governance Workflows: Built an intelligent system to parse internal policies and compare them against active AI project parameters using RAG (Retrieval-Augmented Generation).

Enterprise Integration: Integrated the governance layer into Shell’s existing development lifecycle, reducing manual compliance overhead and ensuring "Privacy by Design."

Security & Scalability: Deployed the solution using Azure and Docker, maintaining high security protocols for sensitive data handling.

The Impact:
Streamlined the AI model approval process, significantly reducing time-to-market for data science projects while guaranteeing 100% adherence to global regulatory frameworks.

Technical Stack: Python, FastAPI, LLM (OpenAI/Azure AI), RAG, LangChain, Azure, Docker, CI/CD.
Python FastAPI LLM Microsoft Azure Docker
Audi UK
Team Lead
DIGITAL AND IT
November 2023 - December 2024 (1 year and 1 month)
London, United Kingdom
Project: Enterprise Observability & Web Health-Monitoring Platform As a Team Lead at IBM, I directed the architecture and hands-on development of a mission-critical observability platform for Audi UK’s primary web ecosystem.Key Technical Contributions:
Platform Architecture: Led the development of a high-performance monitoring system using Express.js and React.js to automate health-checks and syntax-scanning across the digital landscape.
Scalable Cloud Infrastructure: Provisioned and managed robust AWS environments (EKS, S3, RDS) using Terraform (IaC) to support high-frequency data processing and ensure global site integrity.
Pipeline Optimization: Directed a technical team to optimize delivery workflows using Docker and GitHub Actions, integrating automated health-check gates.
Performance Impact: Focused on system efficiency and automation, successfully reducing deployment latency by 40%.The Impact:
Provided the engineering teams with real-time visibility into system health, ensuring the functional integrity of Audi UK's primary web assets while significantly accelerating the deployment lifecycle.
aws React.js Terraform Docker Amazon RDS