azminewasi / azminewasi

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Hi đź‘‹, I'm Azmine Toushik Wasi


Machine Learning Researcher (GNN, Optimization, Explainable AI, HAI)
Kaggle Grandmaster | Explorer
Looking for research opportunities

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I am :

  • Experienced in Programming (Machine Learning), IT Automation, Research, Project - Product Management and Analytics.
  • Currently, exploring Data Science & Machine Learning; the 3rd Kaggle Grandmaster of BD.
  • Actively involved in several Machine Learning Research projects in Graph Neural Networks, Explainable AI and Optimization with Data Intelligence Lab, HYU, KR. Founded Computational Intelligence and Operations Lab - CIOL, SUST, BD to accelerate ML research and education in SUST IPE. Published in NeurIPS and AAAI workshops.
  • Worked with numerous thriving start-ups (10 Minute School, Shikho, BasaKhujo), as well as many prestigious organizations (DeepLearning.AI, Royal Commonwealth Society, UN Volunteers, Science Bee, BYSO) providing data-driven, analytical, technical, managerial, mentoring and creative support.
  • A ML-based tech-writer with 300+ followers in Kaggle and personal blog site. Building all-in-one free AI/ML resources collection here.
  • Passionate about learning new things, sharing my knowledge, improving myself regularly, experimenting with acquired skills and challenging my capabilities.
  • A student of Industrial and Production Engnnering at SUST.
  • Currently looking for research opportunities focusing on Healthcare (Bioinformatics or Biomedical Engineering) or Combinatorial Optimization (Industrial Applications) domains.

Skills :

  • Programming: Python (Advanced), C (For Contests), R, SQL.
  • ML Techniques : Deep Learning, NLP, Graph Neural Networks, GANs.
  • DS & ML Tools (Python) : NumPy, Pandas, Matplotlib, Seaborn, Stats-models, Scikitlearn, Keras, Tensorflow, PyTorch.
  • Data Analysis: MS Excel, SAS, Tableau, Power BI.
  • IT Automation:
    • Automation in MS Word, Powerpoint, Excel, Google Sheets, Adobe Photoshop, Illustrator using Python, built-in toolkits and ML;
    • Photo Manipulations at large scale using OpenCV and Pillow;
    • NLP and CV-based ML models to detect error in textuala and visual contents.
  • Product Development, Project Management, Business Development and Strategic Planning and Analysis.

Research :

  • Research Interests:
    • Graph Neural Networks (GNN improvement and Drug Detection/Interaction),
    • Explainable AI (Developing human understandable & trustable models), and
    • Optimization (CO) (Combinatorial and Constrained Optimization using AI),
    • Human-Centered AI (HAI) (Creating AI systems focusing on humans),
    • Computer Vision (Advanced detection and classification).


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