Building Scalable Backend Systems: Lessons from Production
November 15, 2024 • 10 min read
Real-world insights on building and scaling backend systems, from database optimization to handling thousands of requests without breaking a sweat.

Software Developer | Backend Developer | Security Enthusiast
I'm Abu Md. Masbah Uddin, a Software Developer and Security Engineer with hands-on experience in backend development, cybersecurity, and cloud computing. I recently completed my degree in Computer Science and Engineering at Chittagong University of Engineering and Technology (2020-2025).
My expertise spans secure code review, payment system integration, and building scalable backend architectures. I've identified critical vulnerabilities in production systems including privilege escalation, 2FA bypass, and broken access control issues. I'm passionate about building secure, efficient systems and implementing robust RBAC solutions.
I'm a lifelong learner with deep interests in cybersecurity, artificial intelligence, and system architecture. My goal is to continuously enhance my skills and create meaningful contributions to secure software development.
LAB3
Remote, United States
Jun 2025 -- Oct 2025
Vector Classes
Chittagong, Bangladesh
Dec 2022 -- Dec 2024
Architected and developed the complete backend system.
Managed and optimized database performance and reliability.
Deployed and maintained the application on a Linux server.
Maintained and improved the Continuous Integration (CI) pipeline.
Quickly learned Unity in 12 days to develop 3D games and interactive JWST assembly tools.
Adapted rapidly to Flutter, implementing and debugging an API system for seamless data flow.
Combined NASA JWST imagery with music to create a dynamic multimedia experience.
Utilized NASA’s API for live mission tracking and status updates.
Developed educational tools to inspire interest in STEM fields among younger audiences.
Architected and developed the complete backend system.
Deployed and maintained the application on a Linux server.
Employs machine learning to predict 41 types of diseases based on user symptoms.
Provides a health education section with detailed information on symptoms, risk factors, and preventive measures.
Utilizes Flutter for frontend development, Firebase for backend, and Hugging Face Transformers for model deployment.
Developed for the Artificial Intelligence Lab course by Masbah & Sabik.
Implemented a plagiarism detection system using cosine similarity to compare PDF contents.
Simulated bank and grocery queue systems, managing customer arrivals and service.
Developed components including producers, consumers, and distributors for queue management.
Implemented statistical tracking for customer service performance.
Configured and ran simulations with customizable parameters such as queue length, service time, and more.
Comprehensive training and exam focused on securing APIs against modern attack vectors.
View Credential →Covered key principles including the CIA triad, network security, and threat modeling.
View Credential →Bachelor of Science in Computer Science and Engineering
2020 -- 2025
Chittagong University of Engineering and Technology (CUET), Chittagong, Bangladesh
Hathazari Govt College
2017-2019
Science Department
Chemistry Olympiad Regional (Chittagong) Champion
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JavaScript/TypeScript
Rust
Python
C++
Go
Java
NestJS
ExpressJS
NextJS
Django
Flask
JavaFX
Unity