About Me
Self-taught Backend Engineer with strong foundation in Node.js, Express.js, and full-stack development gained through intensive project-based learning. Built multiple real-world applications including booking systems, he…
Self-taught Backend Engineer with strong foundation in Node.js, Express.js, and full-stack development gained through intensive project-based learning. Built multiple real-world applications including booking systems, healthcare platforms, and e-commerce solutions. ALX Software Engineering graduate seeking first professional opportunity to apply technical skills and continue growing in a collaborative development environment.
Experience
<p>Developed comprehensive event booking system allowing users to discover and book events across multiple categories with real-time availability tracking<br>
Implemented Redis caching layer for frequently accessed event data, reducing database query load by 65% and improving response times<br>
Optimized database performance through strategic indexing on event categories, dates, and booking status, achieving 40% faster query execution for search operations<br>
Tools Used: Node.js, Express.js, ORM(Prisma), PostgreSQL, React, Tailwind</p>
<p>Developed sustainable furniture marketplace connecting eco-conscious consumers with environmentally friendly products<br>
Implemented a secure authentication system using JWT and OAuth2 to mitigate potential security risks<br>
Designed and implemented RESTful APIs to support core functionalities (product management, cart services)<br>
Tools Used: Node.js, Express.js, ORM(Prisma), PostgreSQL, HTML, CSS, JavaScript</p>
<p>Engineered healthcare platform connecting 200+ patients with medical professionals across 15+ specializations<br>
Developed intelligent doctor matching algorithm using location-based filtering and specialty matching, improving appointment booking success rate by 40%<br>
Created comprehensive review system allowing patients to rate and review healthcare providers, enhancing platform credibility<br>
Tools Used: HTML, CSS, Python, Flask, ORM(SQLAlchemy)</p>
<p>Developed lightweight shell interpreter replicating core UNIX functionality including command execution, path resolution, and environment variable handling<br>
Implemented efficient memory management using dynamic allocation and proper cleanup, achieving zero memory leaks verified through Valgrind testing<br>
Utilized system-level programming with fork(), exec(), and wait() system calls for process management and command execution<br>
Tools Used: C, Linux</p>