By redesigning education with shorter schooling, more hands-on learning, and flexible college programs, we can help students become skilled, knowledgeable, and ready to succeed in a fast-changing world.
I'm a STEM enthusiast and deeply passionate about Machine Learning, NLP, LLM, Computer Vision, Web Development, Data Science, and Quantum Computing. With hands-on experience in designing and implementing algorithms, I thrive on solving complex problems and pushing the boundaries of innovation.
With experience in teaching STEM subjects and a foundation in IT support 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 and enthusiastic about research and development, with a keen interest in generating original ideas and devising practical solutions to complex, real-world challenges. My primary fields of interest include deep learning, NLP, computer vision, data science, quantum computing, and computational biology.
I have hands-on expertise in machine learning and deep learning algorithms, as well as in web development. Proficient in multiple programming languages—Python, C, C++, JavaScript, and SQL—I combine technical skills with a research-driven mindset. In addition, I am fluent in English and Bangla, which allows me to collaborate and communicate effectively across diverse communities.
NLP, LLM, Computer Vision, DL Architectures, Optimization, Feature Engineering, Transfer Learning, Fine Tuning, TensorFlow, PyTorch, Scikit-learn, Keras
Data Preprocessing, EDA, Data Visualization, Data Analytics, Feature Engineering, Python, R, MS Excel & Google Sheet
Linear Algebra, Differential and Integral Calculus, Probability and Statistics
Python, Numpy, Pandas, Matplotlib, Seaborn, Plotly, C, C++, JavaScript, SQL, HTML5, CSS3
This project investigates deep learning approaches (RNN, LSTM, GRU, TextCNN, BERT, RoBERTa) for sentiment analysis on the Stanford Sentiment Treebank (SST) dataset.
Designment a prediction model on Existing Conditions in Biological Organs (Heart, Lung, Kidney, Pancreas) using Machine Learning.
The focus of this research is to establish a prediction model to estimate side effects after vaccination among the health workers in Nigeria who got the Oxford AstraZeneca vaccines based on numerous parameters.
Designed several intelligent chatbots and agents using advanced NLP and LLM techniques
Implemented a sentiment analysis project using transformer and RNN-based architectures for Bangla Ecommerce Dataset.
Troubleshooting computer issues and providing technical support to company employees, clients, and other system users; developing and maintaining website; email management; cloud management; preparing regular reports on expenses and IT budgets; organizing systems for important and confidential company documents; preparing reports and presentations with statistical data.
I specialise in teaching students in various STEM subjects, including mathematics, physics, chemistry, biology, programming, computer science, and engineering. My approach emphasizes fostering a deep understanding of fundamental concepts, problem-solving skills, and critical thinking abilities. I create personalized lesson plans tailored to each student's learning style and academic goals, ensuring that they receive targeted support and guidance.
Artificial Intelligence and Expert Systems Lab, Department of Computer Science
Key Courses: Quantum Physics, Mechanics and Electromagnetics, Atomic and Nuclear Physics, Condensed Matter Physics, Optics and Electronics, Digital Electronics, Nano-Physics and Nano-Technology, Renewable Energy and Sustainable Development, Nuclear and Reactor Engineering
Thesis: Design of a High-Resolution Optoelectronic Visual Prosthesis for Blind People
Key Courses: Artificial Intelligence, Computer Vision and Pattern Recognition, Data Structure, Algorithms, Computer Organization and Architecture, Human-Computer Interaction, Programming (C, C++, Java, C#), Web Technology, Digital Electronics, Microprocessor, Statistics and Probability, Calculus, Complex Variable, Laplace and Z-Transformation, Matrices, Vectors and Fourier Analysis
Thesis: Improved Detection of Cancer Cell and Tumor Using Region-Based Convolutional Neural Network from MRI Images
Projects: Tour Mate & Daily Expense Note
Comprehensive program covering supervised learning, unsupervised learning, and best practices in machine learning.
Advanced deep learning concepts including CNNs, RNNs, LSTMs, attention mechanisms, and transformers.
Linear Algebra, Calculus, Probability & Statistics for Machine Learning and Data Science applications.
Natural Language Processing with Classification, Probabilistic Models, Sequence Models, and Attention Models.
Comprehensive data analytics training covering data cleaning, analysis, visualization, and statistical methods.
Python programming, data structures, web scraping, database management, and data visualization.
By redesigning education with shorter schooling, more hands-on learning, and flexible college programs, we can help students become skilled, knowledgeable, and ready to succeed in a fast-changing world.
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. But what exactly are they?
In the grand narrative of intelligence, we are at a turning point. The Pre-AGI era — our current phase — isn’t marked by sentient machines or synthetic minds that rival our own. Rather, it’s a period of rapid, narrow AI advancement, foundational experiments, and deep philosophical questions.
মানুষের কল্পনাশক্তি আর প্রযুক্তির বিকাশ একসঙ্গে এগিয়ে চলেছে, আর তারই এক চূড়ান্ত উদাহরণ কোয়ান্টাম কম্পিউটার। সাধারণ কম্পিউটারের সীমাবদ্ধতাকে অতিক্রম করে, সময় ও গাণিতিক জটিলতার বেড়াজাল ভেঙে দিয়ে, ভবিষ্যতের নতুন দিগন্ত উন্মোচন করছে এই প্রযুক্তি।
Imagine having a conversation with an AI that feels intuitive, insightful, and nearly human. The key? It all begins with how you ask.
Spacetime is one of the most profound concepts in modern physics, uniting space and time into a single continuum. This revolutionary idea, introduced by Albert Einstein’s theory of relativity, has reshaped our understanding of gravity, black holes, and the very fabric of reality.
tanjinadnanabir@gmail.com
Dhaka, Bangladesh