Hi, I'm
I build systems that think, and systems that get things done (ideally both).
Full-stack by day (Java, Node.js, Angular), and working with machine learning and deep learning whenever I can. I focus on building smart, scalable systems that automate the boring parts and turn messy problems into production-ready solutions.
Note: if a task is repetitive, there’s a high chance I’ve already automated it, or I’m about to.
Working on the Telecom Coverage Management platform and Integrated Management System API Server. Actively developing full-stack features utilizing Angular, Node.js, Java Spring Boot, and complex geographical boundary mappings. Contributed to the design, development, and maintenance of enterprise NET solutions. Responsibilities span the full software lifecycle, including writing technical proposals, developing user stories, incident resolution, and managing deployments.
Developed intelligent RAG chatbots and automated workflows using Flask, Docker, and ML/NLP models. Designed scalable RESTful APIs and containerized pipelines to enhance operational efficiency.
Designed and deployed custom Python automation tools and data migration scripts (JIRA, ServiceNow, APIs). Built back-end data processing pipelines for Power BI and user-friendly Tkinter GUIs.
Strengthened expertise in Python, automation frameworks, REST APIs, and agile project delivery while driving measurable impact on reporting quality.
ALX Morocco (Dec 2025)
ALX Morocco (Aug 2025)
ALX Africa (Apr 2025)
Live Room Project (Jul 2022)
everis (Sept 2021)
Solicode Tanger (Sept 2021)
Simplon.co (Oct 2021)
Engineered a full-stack geographic application for visualizing and managing telecom fiber coverage. Implemented complex map boundaries, address geocoding, and RESTful API integrations through Keypro.
Maintained and scaled an Integrated Management System API Server utilizing Java Service Wrapper. Integrated GPON access operations, managed complex line deletion rules, quarantine flows, and hardware serial management.
Conducted advanced statistical modeling using Fisher-EM and K-Means for the WineQT dataset. Produced comprehensive mathematical resources and pedagogical models for Deep Learning architectures.
Designed an end-to-end pipeline analyzing 246 trading sessions of the Casablanca Stock Exchange (MASI index) using Hidden Markov Models (HMM) to identify latent market regimes (Bullish/Bearish). Formulated Markov Decision Processes (MDP) with Bellman equations to derive mathematically optimal trading strategies, implementing Expectation-Maximization and Viterbi decoding from scratch.
I'm always open to discussing new projects, creative ideas or opportunities to be part of your visions.