I'm a STEM enthusiast deeply passionate about Machine Learning, Computer Vision, NLP, Computational Neuroscience, Quantum Computing, and Software Development. With hands-on experience designing and implementing algorithms, I thrive on solving complex problems and pushing the boundaries of innovation.
With experience in teaching STEM subjects and software development, I bring a diverse and adaptable skill set to every endeavor. My passion for learning, research, and innovation fuels my drive to explore new opportunities and expand the boundaries of knowledge.
I am highly motivated about research and development, with a keen interest in generating original ideas and devising practical solutions to complex challenges. My primary fields of interest include Deep Learning, Computer Vision, NLP, Data Science, Quantum Computing, and Computational Neuroscience.
Proficient in Python, C, C++, JavaScript, and SQL. Fluent in English and Bangla, enabling collaboration across diverse global communities.
Selected work spanning NLP, Computer Vision, Deep Learning, Computational Neuroscience, and Quantum Computing.
A lightweight transformer architecture to investigate sentiment analysis on Bangla e-commerce product reviews. Published in IEEE Transactions on Artificial Intelligence 2026.
To investigate how sensory information is processed across the brain using International Brain Laboratory's Brain-Wide Map dataset.
Investigates deep learning approaches (RNN, LSTM, GRU, TextCNN, BERT, RoBERTa) for sentiment analysis on the Stanford Sentiment Treebank (SST) dataset.
Prediction model on existing conditions in biological organs (Heart, Lung, Kidney, Pancreas) using Machine Learning.
Prediction model to estimate side effects after Oxford AstraZeneca vaccination among health workers in Nigeria based on numerous clinical parameters.
Designed several intelligent chatbots and agents using advanced NLP and LLM techniques for real-world conversational AI applications.
A Multi-Architectural Hybrid Convolutional Neural Network for Multi-Class Alzheimer’s Disease Classification from MRI Images.
Schrödinger's Cats | The Open Learning Platform for Quantum Machine Learning.
Fine-tuned several LLM models on Hugging Face Platform for domain-specific tasks including classification, generation, and reasoning.
Roles spanning industry, academia, and STEM education.
Formal training across applied physics, electronics, and computer science & engineering.
Hands-on workshops and bootcamps beyond formal academia.
A commitment to continuous learning across AI, quantum computing, and data science.
Exploring ideas at the intersection of AI, physics, education, and the future.
From detecting tumors in medical scans to spotting memes faster than you can hit "share," CNNs are quietly running the show behind almost every image-based AI application today.
📖 Read More →In the grand narrative of intelligence, we are at a turning point. The Pre-AGI era — a period of rapid, narrow AI advancement, foundational experiments, and deep philosophical questions.
📖 Read More →Spacetime is one of the most profound concepts in modern physics, uniting space and time into a single continuum — reshaping our understanding of gravity and black holes.
📖 Read More →Imagine having a conversation with an AI that feels intuitive, insightful, and nearly human. The key? It all begins with how you ask.
📖 Read More →By redesigning education with shorter schooling, more hands-on learning, and flexible college programs, we can help students become skilled and ready for a fast-changing world.
📖 Read More →মানুষের কল্পনাশক্তি আর প্রযুক্তির বিকাশ একসঙ্গে এগিয়ে চলেছে, আর তারই এক চূড়ান্ত উদাহরণ কোয়ান্টাম কম্পিউটার।
📖 Read More →Open to research collaborations, opportunities, and conversations about AI and beyond.
I'm always excited to connect with fellow researchers, engineers, and educators. Whether you're interested in AI/ML research collaboration, exploring ideas in quantum computing, or just want to have a technical conversation — my inbox is open.
I believe that the intersection of different fields creates the most innovative solutions. My interdisciplinary background in physics, computer science, and education allows me to approach problems from multiple perspectives.
"Continuous learning, ethical AI, and practical impact — the principles that guide everything I build."