I'm Yassir El Yasini, a Software Engineering student at 1337 School (42 Network) with hands-on experience building backend systems, distributed microservices, AI-powered applications, and containerized infrastructure.
With a strong foundation in C/C++, Java, and Python, I build real-time platforms, HTTP servers, and intelligent applications.
- 🔭 Focus: Backend engineering, microservices, AI applications, and systems programming.
- 🎓 Education: Software Engineering at 1337 School, Ben Guerir, Morocco — October 2024 to present.
- 💼 Seeking: Software Engineering or AI Engineering internships.
- 🌍 Spoken languages: English and Arabic.
| Area | Technologies |
|---|---|
| Languages | C, C++, Java, Python, JavaScript, TypeScript, Shell / Bash, SQL |
| Backend | Spring Boot, FastAPI, Django, microservices, WebSockets, HTTP/1.1 |
| Frontend | React, Next.js, Tailwind CSS, shadcn |
| Databases & storage | PostgreSQL, Redis (Geospatial), MariaDB, pgvector |
| AI / ML | Retrieval-augmented generation (RAG), LangChain, LangGraph, Ollama, Hugging Face, Python AI stack |
| DevOps & tools | Docker, Docker Compose, Git, GitHub, Git workflows, NGINX, HTTPS/TLS |
A peer-to-peer shopping and delivery platform connecting customers, sellers, and drivers in real time.
- Built a microservices backend with independent databases for each service.
- Designed payment workflows with a digital wallet, escrow protection, Stripe integration, and automatic refunds.
- Implemented GPS-based driver assignment, live driver tracking, price negotiation, and instant messaging.
Stack: Spring Boot, Next.js, Tailwind CSS, shadcn, PostgreSQL, Redis (Geospatial), WebSockets, Stripe API, Docker.
An AI-powered recruitment assistant for resume analysis and candidate matching.
- Developed intelligent search across 200+ resumes, improving candidate matching accuracy by nearly 30%.
- Automated resume screening, candidate scoring, and interview question generation with a multi-agent workflow and human review for uncertain cases.
- Deployed with Docker and FastAPI, integrating a local AI model with responses in under 800 ms.
Stack: Python, FastAPI, LangGraph, PostgreSQL, pgvector, Hugging Face, Ollama, Docker, Git.
A containerized web platform built from scratch with custom Docker images and Docker Compose.
- Configured an NGINX reverse proxy with HTTPS/TLS and integrated WordPress with MariaDB.
- Deployed a three-service stack with persistent volumes, isolated networking, and a reproducible local setup.
Stack: Docker, Docker Compose, NGINX, WordPress, MariaDB.
An HTTP/1.1 web server implemented from scratch in C++ using low-level sockets.
- Handles GET, POST, and DELETE requests, CGI execution, and chunked transfer encoding.
- Supports concurrent I/O with
select/poll, with a focus on stable request parsing and response generation for multiple clients.
Stack: C++, HTTP/1.1, sockets, CGI, select / poll.
I'm open to Software Engineering and AI Engineering internships.
