Professional Highlights
Experience
Full Stack Developer & Researcher
FAST Lab, Tampere, Finland
Research Assistant
GPT Lab
Software Engineer
BJIT Limited
Teaching Assistant
Tampere University and AIUB
Intern
AIUB Software Division
Tech Skills
Experience
Years
Publications
Projects
Education
Master's in Computer Science
University of Tampere
Specialized in Software and Data Science
Professional Scrum Master
About Me
I am a Full Stack Web developer and AI Researcher with 4+ years of experience in web development, specializing in creating intuitive responsive interfaces and optimizing web applications. I completed my Master's in Software, Web and Cloud at Tampere University, I combine academic knowledge with practical industry expertise.
Tampere University, Finland
MSc in Software, Web and Cloud | 2022 - 2024
Major in Software Engineering, Minor in Data Science
American International University Bangladesh(AIUB)
BSc in Computer Science and Engineering (CSE) | 2014 - 2028
Computer Science major with a focus on Software Development
Skills & Expertise
Categories
Programming Languages
Frontend Development
Backend Development
Artificial Intelligence
Cloud & DevOps
Additional Skills
Languages
Coding Stats
My Coding Activity
GitHub Stats
LeetCode Stats
"Everything is obsolete in this world, so try to learn every day."
Professional Experience
My Projects
AI Agent Pipeline for User Story Enhancement
An implementation of the Autonomous LLM-based Agent System (ALAS) for improving user story quality in agile software development. This system uses LLM-based agents to automate the enhancement of user stories through a collaborative agent framework.
PythonOPENAINotepad
Personal Notepad is a React-based web application that enables users to create, manage, and organize text snippets (pastes) with a clean and intuitive interface. This project was developed as a practice project to learn React-Redux and modern state management patterns.
ReactReduxEmotion Detection from bengali text data Using Deep Learning
The project utilizes Bidirectional Gated Recurrent Unit (BiGRU) and CNN-BiLSTM (Convolutional Neural Network with Bidirectional Long Short-Term Memory) models to classify text into six emotional categories: happiness (আনন্দ), sadness (বিষণ্ণতা), fear (ভয়), anger (রাগ), love (ভালবাসা), and surprise (আশ্চর্য).
PythonkerasPandasNumPyAI-PRISM (Professional project)
I have developed this web project (AI integrated) working as a developer at FAST-Lab. This is an ongoing project soon it will be in production level. For more information about the features and functionalities, please contact with me.
Next.jsAWSNeonDBLLMAuthVercel
Let's Connect
I'm currently looking for new opportunities. Whether you have a question or just want to say hi, I'll get back to you! Below is my personal email address or you can fill out the form to send me a message 🙂!