MUNTASIR
MAHMUD AMIT
SQA Engineer, CS Graduate, Data Science Enthusiast, and Python Developer.
About Me
I'm a Computer Science graduate from BRAC University with professional experience in Software Quality Assurance. My expertise spans manual testing, test automation with Cypress, and BDD frameworks.
I'm passionate about delivering reliable software through meticulous testing and have a strong foundation in test planning, case design, and SDLC/STLC methodologies. Beyond QA, I'm enthusiastic about Data Science, Machine Learning, and Large Language Models.
Education
B.Sc. in Computer Science
BRAC University
Higher Secondary School Certificate
Milestone College
Secondary School Certificate
Santhia Pilot High School
Experience
Software Test Engineer Intern
Nov 2025 — January 2026- Performed web application testing - Created test scenarios - Developed test cases - Reported bugs - Conducted regression testing - Developed UI automation scripts using Cypress
Skills Matrix
Projects
Flight Management System
This project is a web-based Flight Management System developed using PHP and MySQL to manage airline operations digitally. The system allows management of flight schedules, routes, and related records through a structured backend connected to a relational database. MySQL is used for storing flight data, while PHP handles server-side logic and database interactions. The project demonstrates practical knowledge of backend development, database design, CRUD operations, and building dynamic web applications integrated with SQL-based data storage.
3D Car Obstacle Game
This project is a 3D driving obstacle game developed in Python using PyOpenGL and GLUT for real-time 3D graphics and rendering. Players navigate a car along a road with dynamically generated obstacles such as other vehicles and roadside trees, while switching between first-person and third-person camera views. The gameplay features smooth controls, collision detection with a Game Over system, scoring, pause and restart functionality, day/night mode toggling, and optional cheat mode. It demonstrates hands-on experience with 3D rendering, interactive input handling, and game logic in Python.
Beta-VAE for Fashion-MNIST: A Non-Deterministic Unsupervised Learning Approach
This project implements a Beta-Variational Autoencoder (Beta-VAE) on the Fashion-MNIST dataset to explore non-deterministic unsupervised learning and generative modeling. Unlike a standard autoencoder, the Beta-VAE introduces stochastic latent variables controlled by a β hyperparameter, enabling the model to learn disentangled latent representations of image data and generate new fashion samples. The repository includes training and evaluation in PyTorch, visualizations of reconstructions, random generated samples, latent space projections, and evaluation metrics like MSE, FID, and Inception Score.
EverShop Cypress Test Automation
An end-to-end automation testing suite for the EverShop e-commerce demo using Cypress with Cucumber BDD. Covers account creation, authentication, address management, product search, and checkout. Implements Page Object Model and Tag-based execution.
BRACU Response Team Website – Manual Tester
Manually tested a university club website with complex backend features. Validated member recruitment flows, signup, and dynamic database updates. Verified email functionalities and conducted thorough UI/UX testing across devices.
Diabetes Prediction System
A Machine Learning project that predicts the chances of diabetes based on health factors like Age, BMI, Hypertension, and Blood Glucose levels. Uses a specialized dataset to provide high-accuracy health insights.
Flight Delay Prediction System
Distributed Machine Learning project that predicts flight delays using historical data. Leverages Dask Distributed Computing to efficiently process large datasets across multiple nodes. Includes performance evaluation and data visualization.
ASUS Prime B460 Plus OpenCore Hackintosh
Setting up macOS Monterey on non-Apple hardware using OpenCore (0.7.7). Optimized BIOS configuration to ensure full functionality of sleep, wake, audio, ethernet, and specialized display outputs.
Undergraduate Thesis
Efficacy of Large Language Models in Facilitating Exam Preparation
Developed the first MBBS-specific dataset in Bangladesh and evaluated 11 prominent Large Language Models. Implemented a RAG-based question-answer generation system to assist medical students.
Beyond Core
BRAC University Response Team
General Secretary
Led 250+ students, conducted stakeholder meetings, and negotiated with NGOs. Organized various social impactful projects such as: Blood Donation Campaign, Winter Campaign, Project Hashimukh (A Ramadan Initiative), Breast Cancer Awareness Campaign, and many more.
BRAC University Adventure Club
Coordinator of HRM
Managed member databases and oversaw administrative operations. Ensured seamless organizational communication.
Project Srijon
ICT Instructor
Volunteered to conduct ICT training sessions, teaching fundamental computer skills and digital literacy to students.
Let's work
together.
Looking to enhance your software's reliability or need expert automation? I am available for freelance SQA consultations and full-time positions. Let's ensure excellence together.
muntasir145@gmail.com
01721857708
D.I.T Project Merul Badda Dhaka