Go Sample project to understand Mysql CRUD operation with best practises Includes logging, JWT, Swagger and Transactions

ETL-style async data pipeline built with FastAPI, Redis, and SQLite. Streams TVMaze data, processes it async. supports long-polling .

A backend-focused web app for managing sales records and employee attendance, featuring an admin panel for performance monitoring, role management, and business analytics.

Back-end for quick shop user app and admin app

XFlix is a video-sharing platform designed to host and share videos worldwide

SimpleBank: A backend web service for managing bank accounts, handling transactions, and processing money transfers. Built with Golang, PostgreSQL, and Docker, featuring secure APIs, background processing, and deployment to Kubernetes. 🚀

Advanced WordPress REST API extensions for headless architecture and enterprise data syncing

Production-ready, secure & async file upload + download for FastAPI Real MIME detection • Size limiting • Atomic writes • Path traversal protection • UUID filenames No more blocked event loops or insecure uploads.

API haute performance pour générer des documents en batch avec Bull queue. Il traite 1000 documents en parallèle, Bull queue, surveillance

Manufacturing production tracker built with FastAPI and MongoDB Atlas.

Onify Blueprint: Get case details from Sokigo Abou

This is a rest real-time api built using FeathersJS

My blog project with Angular 8 and rest service onsumition

API-first backend powering a YouTube-style content platform with secure auth, video/media handling pipeline (VOD) ,built for scale and developer clarity.

The backend API for Scribbly — a note-taking app where users can create, organize, search, and manage their notes securely. Built with Node.js, Express, and MongoDB. Handles everything from authentication to full CRUD for notes, with JWT-based auth stored in HTTP-only cookies.

Dual-modular platform combating SRE alert burnout and securing generative AI deployments using Spring Boot and FastAPI. Tracks on-call fairness via Gini coefficients and uses AST/CST analysis to detect fragile, low-quality, or overly AI-dependent code in CI/CD pipelines while introducing quantifiable engineering contribution metric