10/26/2026 updated
100 % available
Full Stack AI Engineer
Morocco
Only remote
Master's Degree in Computer ScienceAbout me
I work with founders and companies to design, build and launch software products. My work covers product architecture, full-stack engineering, infrastructure, AI and data systems.
AI AgentsCloud EngineeringDevOpsEnterprise Architecture FrameworkElasticsearchPython (Programming Language)PostgreSQLDatabase EnginesSystems IntegrationReact.jsFlaskBackendInfrastructure Automation FrameworksFull Stack DevelopmentReact Native
Full Stack Development
Expertise in building product features end to end, from database design and backend APIs to frontend, using Python, TypeScript, FastAPI, Flask, React, Next.js and Tailwind.
AI & Machine Learning Integration
Implementation of AI workflows including document classification, information extraction, anomaly detection, embeddings, collaborative filtering, ranking, LLM APIs, RAG and vector search using PyTorch and pgvector.
Cloud Infrastructure & DevOps
Design and management of high-availability, disaster-recovery and scalable infrastructure environments on AWS, Docker, Kubernetes, Linux, CI/CS, Planetscale, Supabase and Vercel.
Database Engineering
Proficiency in PostgreSQL, Elasticsearch, Redis and SQL for large-scale data storage, indexing, normalization and real-time processing.
Data Platform Development
Building data platforms capable of aggregating, normalizing and indexing 150M+ records from multiple sources and feeding them into recommendation pipelines.
Real-Time Systems
Development of real-time auction engines, messaging systems and payment workflows processing up to $100M in monthly transaction value.
Recommendation Systems
Design and implementation of recommendation and ranking systems using PyTorch, embeddings and collaborative filtering for personalized discovery.
Enterprise Infrastructure
Experience with large-scale infrastructure for banks and public institutions, including national tax collection and customs declaration systems across IBM and enterprise infrastructure stacks.
Expertise in building product features end to end, from database design and backend APIs to frontend, using Python, TypeScript, FastAPI, Flask, React, Next.js and Tailwind.
AI & Machine Learning Integration
Implementation of AI workflows including document classification, information extraction, anomaly detection, embeddings, collaborative filtering, ranking, LLM APIs, RAG and vector search using PyTorch and pgvector.
Cloud Infrastructure & DevOps
Design and management of high-availability, disaster-recovery and scalable infrastructure environments on AWS, Docker, Kubernetes, Linux, CI/CS, Planetscale, Supabase and Vercel.
Database Engineering
Proficiency in PostgreSQL, Elasticsearch, Redis and SQL for large-scale data storage, indexing, normalization and real-time processing.
Data Platform Development
Building data platforms capable of aggregating, normalizing and indexing 150M+ records from multiple sources and feeding them into recommendation pipelines.
Real-Time Systems
Development of real-time auction engines, messaging systems and payment workflows processing up to $100M in monthly transaction value.
Recommendation Systems
Design and implementation of recommendation and ranking systems using PyTorch, embeddings and collaborative filtering for personalized discovery.
Enterprise Infrastructure
Experience with large-scale infrastructure for banks and public institutions, including national tax collection and customs declaration systems across IBM and enterprise infrastructure stacks.
Experience
Professional experience5 - 10 years
Freelancer since2021
Languages
ArabicNative speakerEnglishNative speakerFrenchNative speaker
Project history
Built product features end to end, from database design and backend APIs to frontend. Implemented 60+ APIs with Python and FastAPI and integrated AI workflows for fleet documents, automating document classification, information extraction, filtering and anomaly detection across PostgreSQL, pgvector, React, Next.js and AWS.
Joined as the first engineer and built the platform end to end, covering architecture, databases, backend, frontend, infrastructure and deployment on AWS. Developed the product with Python, Flask, React, Next.js, PostgreSQL, Redis and Elasticsearch, including its real-time auction engine, payment workflows and recommendation system, with PyTorch used for embeddings, collaborative filtering and ranking. The platform processed approximately $100M in monthly transaction value.
Rebuilt the product into a consumer social platform and owned it end to end, including real-time messaging, posts, comments, profiles, book tracking and discovery. Built the data platform underneath it, aggregating, normalizing and indexing 150M+ books from multiple sources and feeding them into recommendation pipelines for personalized discovery.
Certificates
IBM Artificial Intelligence v1 - Associate
IBM2026