Python, R, SQL.
Libraries: Pandas, NumPy, Matplotlib, Seaborn
Tools: Tableau, Power BI
ML/DL Libraries: Scikit-Learn, TensorFlow, Keras, XGBoost, PyMC, FastAI, OpenCV, PyTorch (basic)
Computer Vision Techniques & Models: Convolutional Neural Networks (CNN), Transfer Learning (EfficientNet, ResNet), Data Augmentation, Image Segmentation (U-Net, TINY-UCloudNet), Object Detection (YOLO, SSD)
Explainability Tools & XAI Methods: SHAP, LIME, Integrated Gradients, Grad-CAM, Saliency Maps, DeepLIFT, ELI5, Anchor, Counterfactual Explanations
Platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS)
Git, Jupyter Notebook, LaTeX, Microsoft Office Suite
Collaboration: Jira, Trello, Slack, Miro
Roboflow (image annotation)
CVAT (video annotation)
Audacity (audio annotation)
πΌ Experience
π AI Learning Consultant & Curriculum Developer
 NetCom Learning Bangladesh Β· Full-time
 π
 August 2025 β Present Β· Dhaka, Bangladesh (On-site)
Deliver advanced training in AI, Generative AI, and AI for Business, translating complex concepts into practical lessons
Lead hands-on workshops using tools like Microsoft Copilot and ChatGPT, mentoring learners on real-world projects
Develop industry-focused AI curricula tailored to enterprise and workforce upskilling needs
Ensure training content reflects the latest AI trends in collaboration with global edtech leader NetCom Learning, which partners with Microsoft, AWS, and IBM to close skill gaps worldwide.
The Vision and Analytics Lab, University College Dublin
 π
 October 2024 β Present
Conducting research on efficient cloud segmentation using state-of-the-art deep learning models
Exploring cloud forecasting techniques with various DL and XAI methods
DIAL: Design Inclusion and Access Lab, North South University
 π
 February 2023 β Present
Researched alternative credit scoring methods using ML, DL, and XAI techniques
Investigated DeepFake image detection leveraging interpretability tools
Mentored junior lab members in AI and ML research
Systech DataSoft Ltd.
 π
 August 2023 β February 2024
Developed ML models to extract actionable business insights
Improved data processing pipelines and supported predictive model development