Md. Sakib Hasan
Pioneering AI Solutions for a Smarter Future
09:13 PM +06, Wednesday, May 28, 2025
Machine Learning Engineer | Data Scientist | Developer
View ProjectsAbout Me
I am a dedicated Machine Learning expert with a strong focus on advancing AI technologies through innovative solutions. My expertise spans GANs, Diffusion Models, NLP, Transformers, and Deep Learning, enabling me to tackle complex challenges in the field.
My passion lies in contributing to next-generation AI by developing impactful models and conducting meaningful research. With a robust analytical mindset, I specialize in solving intricate AI problems and delivering practical, deployable solutions. My portfolio showcases projects like real-time image classification, gesture recognition, and NLP applications, all accessible via web interfaces.
I combine theoretical knowledge with hands-on implementation to drive advancements in AI, aiming to create solutions that make a tangible difference in the industry.
7
Projects Completed
3
Years of Experience
10+
ML Models Built
5
Collaborations
Featured Project
Human Face Emotion Recognition
Detect and classify 7 primary emotions from facial expressions in real-time using CNN, OpenCV, PyTorch, and ViT, with strong generalization on unseen data.
Challenge: Handling diverse facial expressions under varying lighting conditions.
Impact: Achieved 95% accuracy, enabling applications in mental health monitoring.
Duration: 3 months
Status: Completed
Skills
Programming
Python (90%)
SQL (80%)
Data Tools
Excel (85%)
SQL (80%)
Power BI (75%)
Analysis & Visualization
Statistics (85%)
Matplotlib (70%)
Soft Skills
Communication (90%)
Problem-Solving (95%)
Databases
MySQL (80%)
Machine Learning
CNN (90%)
Transformers (85%)
NLP (80%)
Research Interest
Multi-Label Facial Emotion Recognition using Hybrid Deep Learning Architecture
Achieved 97% accuracy with EfficientNet-B4, HLA, ViT, and pixel intensity mapping. Focused on improving real-time emotion detection for diverse datasets.
Enhancing Diffusion Models with GAN Integration
Improving image generation quality and diversity, tackling the challenge of mode collapse in generative models.
Job Experience
Data Scientist Trainee - MastersCourse
Completed a 1-year bootcamp with hands-on training in Python, Deep Learning, NLP, Computer Vision, and model deployment. Completed 4 capstone projects, enhancing practical skills.
Business Development Trainee - Frame LTD.
Conducted market research and optimized sales strategies to enhance profitability, contributing to a 15% increase in sales.
Data Analyst - SEBPO
Analyzed data for accuracy and compliance, supporting data-driven decision-making for operational improvements.
Projects
Testimonials
"Sakib's expertise in machine learning and dedication to solving complex problems were instrumental in our project’s success. His innovative approach to emotion recognition is truly commendable."
— Md. Shariful Islam, Assistant Professor, Jahangirnagar University
"Working with Sakib on AI model development was a pleasure. His analytical mindset and technical skills significantly improved our research outcomes."
— Mahmud Hasan, Ph.D., Assistant Professor, Virginia Commonwealth University
My CV
Below is a summary of my professional profile, skills, experience, and research focus. You can download or print the full CV for more details.
Summary
I am a passionate and skilled Machine Learning expert with hands-on experience in cutting-edge domains including Generative Adversarial Networks (GANs), Diffusion Models, Natural Language Processing (NLP), Transformers, and Deep Learning. My core ambition is to contribute to the evolution of next-generation AI by developing innovative models and conducting impactful research. With a strong analytical mindset, I excel at identifying complex AI-related problems and crafting intelligent, practical solutions.
Projects
- Human Face Emotion Recognition: Detect and classify 7 primary emotions in real-time using CNN, OpenCV, PyTorch, ViT. Achieved strong generalization on unseen data.
- Anime Genre Classifier: Predict anime genres using multi-label classification and pre-trained models for efficient feature extraction.
- License Plate Classifier: Real-time detection and extraction of license plates using YOLOv10, OpenCV, Deep Learning, and OCR.
- Fire & Gas Detection System: Hybrid system using Random Forest and YOLOv10, deployed with a Gradio dashboard for real-time threat visualization.
Skills
- Data Tools: Excel, SQL, Power BI, pandas, numpy
- Analysis & Modeling: Statistics
- Soft Skills: Communication, Problem-Solving
- Programming: Python, SQL
- Databases: MySQL
- Visualization: Power BI, Matplotlib
Work Experience
- Data Scientist Trainee - MastersCourse: Completed a 1-year bootcamp with hands-on training in Python, Deep Learning, NLP, Computer Vision, and model deployment. Completed 4 capstone projects.
- Business Development Trainee - Frame LTD.: Conducted market research and optimized sales strategies to enhance profitability.
- Data Analyst - SEBPO: Analyzed data for accuracy and compliance, supporting data-driven decision-making.
Education
- Bachelor of Business Administration (BBA), Jahangirnagar University, CGPA 2.9 (appeared)
- Higher Secondary School Certificate, Hajijong Pilot High School & College, GPA 4.58
Research Focus
- Multi-Label Facial Emotion Recognition using Hybrid Deep Learning Architecture: Achieved 97% accuracy with EfficientNet-B4, HLA, ViT, and pixel intensity mapping.
- Enhancing Diffusion Models with GAN Integration: Improving image generation quality and diversity.
References
- Md. Shariful Islam, Assistant Professor, Jahangirnagar University, Phone: 01670152474, Email: sharifjumkt@juniv.edu
- Mahmud Hasan, Ph.D., Assistant Professor, Virginia Commonwealth University, Email: hasann10@vcu.edu, Contact: 662-380-4564