Researcher | Engineer | Developer
Driven by a passion to innovate in AI, ML, and Blockchain technologies.
AI Engineer conducting research on cutting-edge methodologies in data science, artificial intelligence, machine learning, deep neural networks, computer vision, and image processing, with a goal to develop innovative and scalable solutions for real-world challenges. Passionate about developing automated systems, with a keen interest in blockchain technology and decentralized systems, striving to create innovative, scalable solutions that drive intelligent, data-driven applications.
This study addresses the significant challenge of accurately detecting Hand, Foot, and Mouth Disease (HFMD) in infants and children. The research leverages deep neural networks, specifically an ensemble learning approach, to enhance robustness and accuracy in HFMD identification.
LinkPeptic ulcers and other digestive tract disorders pose significant diagnostic challenges, often requiring expert analysis of endoscopic images. In this study, we aim to assist in the examination of gastrointestinal (GI) tract endoscopy images using advanced image classification techniques.
LinkThe rose is one of the world’s most significant flowers, which is cultivated widely. But, it is susceptible to various types of diseases that can lead to a substantial reduction in yield. Hence, early detection of these diseases is essential to avoid risk and ensure timely treatment.
LinkThis research delves into optimizing Delay-Tolerant Networking (DTN) protocols to enhance emergency communication systems in disrupted environments, particularly natural disasters. The ONE simulator was utilized to simulate realistic scenarios where connectivity is unreliable or unavailable.
Developed a personalized news recommendation system leveraging Neural Collaborative Filtering (NCF) to combine content-based and collaborative filtering techniques for large-scale datasets.
Developed an AI-powered chess bot that utilizes reinforcement learning techniques such as Q-learning and Deep Q-Networks (DQN) to learn and improve its gameplay.
ASICoin is a blockchain-based cryptocurrency project aiming to integrate AI-driven fraud detection and post-quantum cryptographic security for future-proof network protection.
Streamlines day-to-day operations of managing medicine stock, processing sales, and optimizing inventory levels with real-time data insights.
An efficient Sudoku solver leveraging backtracking, recursion, and constraint propagation to find solutions for 9x9 grids.
AI-driven trading bot for real-time market analysis using deep learning, technical indicators, and reinforcement learning for autonomous strategy refinement.
Sentiment analysis module enhancing cryptocurrency price prediction by analyzing real-time news and social media sentiment integrated with LSTM models.
LSTM networks predict Ethereum price trends by analyzing historical Bitcoin data with technical indicators and sentiment analysis integration.
Comprehensive solution for managing employee data, payroll, attendance, and performance with an easy-to-use interface.
Software solution for managing books, patrons, and lending transactions with features for checkouts, returns, and inventory tracking.
Simulates and optimizes ride-sharing network operations modeling traffic conditions, vehicle availability, and user demand.
Web-based application that decodes sentences using Caesar cipher shifts and reverse string decoding with word validation highlighting.
Interactive tool for plotting points on a coordinate system based on degree and step inputs with zoom, pan, and point info toggling.
C, C++, Java, Python, JavaScript, PHP
TensorFlow, PyTorch, CUDA, Linux, Flask, MERN Stack, OpenCV
Deep Learning, CNN, LSTM, Transformers, Autoencoders, Reinforcement Learning
Consensus Algorithms, Smart Contracts, Post-Quantum Cryptography, Decentralized Apps
Feature Engineering, Bayesian Optimization, GMM, Time Series Analysis
Full-Stack (MERN), Flask APIs, RESTful Services, Cloud Deployment
Raspberry Pi, Arduino, Wireless Networking, IoT Security
Ensemble Learning, Meta-Learning, Heuristic Optimization, Genetic Algorithms
OS: Kali, Parrot, Manjaro, Ubuntu
Penetration Testing Tools: Airgeddon, Wireshark, Nmap, Aircrack-ng,
Metasploit
East West University, Dhaka, Bangladesh
Completed B.Sc.
Relevant coursework includes AI, Machine Learning,
and more.
East West University, Dhaka, Bangladesh
Currently enrolled in M.Sc. program with focus on AI, ML, and DNNs.
Co-Curriculum & Social Work
Competitive Programming & Technical Clubs
Debating & Public Speaking
HAM Radio & Communication
Scouting & Humanitarian Work
Blood Donation & Health Awareness
Social Welfare & Volunteering
Organized social initiatives for underprivileged children such as:- Eid gift distributions
- Winter clothes distribution
- educational workshops
Leadership & Training
Instructor in Life Skill Training Courses across Bangladesh- Conduct sessions on Time Management
- Effective Communication
- Career Building
- Conflict Management
- Save from Harm
- Leadership Development
- Stress Management
- HeForShe
- Mental Health
- Reproductive Health
- mental health
Marathon Running
Martial Arts