(Jan 2024 - Present)
Software Engineer
ABOUT ME
Who I am?
Computer Science graduate with a Master’s in Data Analytics and strong foundations in algorithms, data structures and scalable system design. Skilled in C++, JavaScript, Java, SQL and modern full-stack development Spring Boot, Laravel, React, Next.js, Supabase with hands-on experience in building secure, high-performance applications and optimising data workflows. A background in competitive programming has strengthened my problem-solving skills and ability to deliver efficient solutions under tight constraints. Currently seeking software engineering opportunities where I can apply my technical expertise to develop reliable, data-driven systems at scale.
Experiences
(April 2021 - August 2022)
Software Engineer
Impress IT Solutions
Skills
PROJECTS
Sales Management System
constproject={name:'Sales Management System',tools: ['Laravel', 'NextJS', 'CSS', 'Tailwind CSS', 'REST API', 'MySQl', 'Sanctum', 'Git', 'CPanel', 'cron-job],myRole:Full Stack Developer,Description: A web platform to streamline sales operations, track inventory, and manage customer dues. Developed RESTful API with Laravel to handle sales, inventory, and customer data secured using Sanctum-based authentication. Built multi-page Next.js application leveraging dynamic routing and server-side rendering for fast data retrieval with dynamic dashboards, invoice views, and customer profiles.,Demo:View};Employee Management System
constproject={name:'Employee Management System',tools: ['React', 'Supabase', 'PostgreSQL],myRole:Full Stack Developer,Description: A full-stack web application for managing employee data, built with React and Supabase. The system features secure authentication using Supabase Auth with Row Level Security (RLS) to ensure data protection. It includes a well-designed PostgreSQL schema with migrations and real-time updates managed via the Supabase CLI. Supabase Storage is used for uploading and managing employee documents, while Edge Functions handle automated backend tasks for improved efficiency and scalability.,Demo:View};Predicting stock market
constproject={name:'Predicting stock market',tools: ['python', 'pandas', 'tensorflow', 'numpy', 'LSTM', 'XGBoost', 'SVR', 'GRU', 'RF],myRole:Machine Learning Engineer,Description: In this project, I implemented various machine learning algorithms including LSTM, XGBoost, SVR, GRU, and Random Forest (RF) to forecast stock prices for 1 day, 1 week, and 1 month ahead using data from the Dhaka Stock Exchange (DSE). The analysis focused on three dominant companies, utilising data collected from January 2021 to January 2024. The results from all models were compared to identify the most effective model for predicting stock prices in the DSE.,Demo:View};Analysing Sakila-a movie rental database with MySQL
constproject={name:'Analysing Sakila-a movie rental database with MySQL',tools: ['MySQL', 'Jupyter Notebook', 'XAMPP', 'SQL Magic],myRole:Backend Developer,Description: This project explores Sakila Database using SQL Magic (%%sql) in Jupyter Notebook while connecting to a MySQL database hosted on XAMPP. It includes various Data Manipulation (DML) and Aggregation queries, providing insights into customer rentals, payments, and movie statistics.,Demo:View};Educations
2022 - 2024
Master's of Science
Data Analytics
University of Portsmouth, United Kingdom
2016 - 2020
Bachelor of Science
Computer Science and Engineering
Eastern University, Bangladesh
2014 - 2016
Higher Secondary Certificate
Brindaban Govt. College, Habiganj - 3300
2014
Secondary School Certificate
Govt. High School Habiganj