1337 · 42 NETWORK — UM6P Benguerir
Full-stack software engineer with a track record of delivering 20+ end-to-end builds spanning complex web architectures and machine learning systems. I specialize in designing RESTful APIs, managing async pipeline orchestration, containerized deployments, and developing AI models—focusing on code quality, security, and long-term maintainability.
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1337 — Peer-to-Peer Engineering
1337 (42 Network)
"Mr. Elmahdi Diab has so far demonstrated exceptional dedication and professionalism during his internship. He consistently approaches his work with determination and a strong work ethic. He is the major contributor to the development of a web platform for quorum sensing genes, covering over 1,800 bacterial genomes, a project that required both technical skill and scientific insight. His ability to combine innovative thinking with disciplined execution has significantly advanced the project." Dr. Vittorio Venturi, Supervisor
"It was a pleasure to host Mr. Elmadhi Diab, an intern from the 1337 School of UM6P, who contributed to our project on developing a platform to identify and map bacterial LuxI/R quorum-sensing systems from genomes of Pseudomonas. He approached the work with curiosity, consistency, and a genuine willingness to learn. Throughout the internship, he proved to be skilled, motivated, and reliable. He demonstrated a solid work ethic, respected deadlines, and completed tasks with care and attention. His professionalism and positive attitude made collaboration smooth and enjoyable. He was also a valued member of the team, communicative, respectful, and always open to contributing or sharing ideas. His ability to adapt and work well with others was a clear strength. Overall, he made a meaningful contribution to the project. With just one additional project to strengthen his portfolio and consolidate his experience, I believe he will be fully ready for the job market. I am confident he will continue to grow and succeed in his future endeavors." Dr. Vittorio Venturi, Supervisor
1337 — Machine Learning & AI Journey
1337 (42 Network)
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Designed and engineered for AGC/UM6P. Enterprise-grade genomic analysis platform featuring a Django/DRF async API, Celery + Redis background pipeline orchestration, React/Vite SPA, full containerization, and JWT authentication with session revocation.
Full-stack real-time multiplayer Pong platform. Features WebSocket state sync, Django REST backend, OAuth2 integration, and microservice containerization.
Multiclass classification engine built strictly from first principles using gradient descent and feature standardization without external ML frameworks.
Production-grade VM infrastructure suite featuring MariaDB, WordPress, and Nginx with custom TLS configs and strict network/volume isolation.
Automated Kubernetes cluster provisioning and infrastructure deployment using K3s, Ansible playbooks, and GitOps workflows via Argo CD.
Fully compliant C++98 IRC server featuring asynchronous non-blocking socket I/O using poll() and custom RFC 1459 command parsing.
3D graphics engine written in C using raycasting principles. Features texture-mapped walls, sprite rendering, and interactive minimaps.
Custom POSIX-compliant UNIX shell in C with command execution, pipe chains, environment expansion, and signal management.
Deep neural network written from scratch. Includes manual implementation of backpropagation, optimization functions, and regularization.
Optimized data sorting algorithm implementation in C utilizing limited stack operations and calculated push-cost heuristics.
Thread synchronization and concurrency project tackling the Dining Philosophers problem using mutexes, pthreads, and shared memory management.
2D top-down game engine using MiniLibX library, featuring texture handling, movement mechanics, collectible tracking, and map parsing.
UNIX mechanism implementation reproducing multi-pipe commands in C using system calls (`fork`, `execve`, `pipe`, `dup2`).
Custom C function that returns a line read from a file descriptor, handling static variables, buffer sizes, and memory allocation cleanly.
Custom recode of standard C `printf` library function supporting variadic arguments, hexadecimal conversions, and specifier formatting.
Fundamental C static library recoding core standard library routines, linked list manipulation, and custom memory management functions.
Introduction to machine learning concepts implementing single-feature gradient descent model predicting car prices from mileage.
AI game engine playing Gomoku using Minimax algorithm, Alpha-Beta pruning, static board evaluation functions, and threat detection.
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