Creative and motivated AI/ML Engineer and Designer with a passion for developing innovative solutions that bridge technology and creativity. Currently working as an IT Audit Associate at ACNABIN, with strong experience in machine learning, computer vision, and creative design.
π― Current Focus: Advancing AI applications in environmental monitoring and visual pollution detection
π Location: Dhaka, Bangladesh
π Education: BSc in Computer Science & Engineering, North South University
February 2025 - Present
- Conducting comprehensive IT audits for banking and corporate clients
- Ensuring compliance with ISO-27001 and regulatory frameworks
- Risk assessment and security compliance evaluation
- Cross-functional collaboration with senior auditors and IT teams
December 2023 - April 2025
- Developed neural network models for real-time image classification
- Enhanced environmental monitoring through advanced AI solutions
- Improved model accuracy using custom loss functions and adaptive learning
- Collaborated on cutting-edge research in computer vision and AI
![]() AI for Business Strategy & Planning Udemy β December 2024 |
![]() Digital Marketing 101 Simplilearn β January 2024 |
![]() SEO Search Engine Optimization MindLuster β February 2024 |
![]() Generative AI Studio Google Cloud β February 2024 |
Technologies: Python, TensorFlow, Computer Vision, Deep Learning
Description: Developed an advanced deep-learning solution for detecting visual pollution in urban environments using object recognition techniques. The system helps municipalities identify and address visual pollution hotspots.
Key Features:
- Real-time image classification with 94% accuracy
- Custom neural network architecture optimized for urban environments
- Automated reporting and visualization dashboard
- Integration with environmental monitoring systems
Technologies: Python, PyTorch, Computer Vision, Robotics
Description: Designed computer vision systems for object recognition and task automation in manufacturing environments. The system enables multiple robots to work cooperatively on complex assembly tasks.
Key Features:
- Multi-robot coordination algorithms
- Advanced object recognition and tracking
- Real-time decision making and path planning
- Manufacturing process optimization
Technologies: Python, Pandas, Scikit-learn, Matplotlib, Seaborn
Description: Collection of data science projects showcasing skills in data analysis, machine learning, and statistical modeling.
Key Projects:
- Customer segmentation using clustering algorithms
- Predictive modeling for business forecasting
- Data visualization and storytelling
- Exploratory data analysis workflows
![]() π§ Arctic Vault Code Preservation |
![]() π¨βπ» Developer Pro GitHub Expert |
![]() π GitHub Pro Premium Member |
![]() β GitHub Star Community Leader |
![]() π Sponsor Open Source Supporter |
- Led robotics workshops and coordinated technical competitions
- Mentored junior members in robotics and programming
- Enhanced leadership and teamwork skills through project management
- Supported learners in Python programming and machine learning fundamentals
- Developed educational content and practical exercises
- Improved mentoring and communication abilities
π― Bachelor of Science in Computer Science and Engineering
North South University
π
December 2024β|βπ CGPA: 2.98(83%)
π Higher Secondary Certificate (Science)
Cantonment Public School & College
π
2018β|βπ GPA: 5.00
π« Secondary School Certificate (Science)
Jahangirnagar Cantonment Board High School
π
2015β|βπ GPA: 5.00
Dr. Riasat Khan
Associate Professor & Undergraduate Coordinator (EEE/ETE)
North South University
π§ [email protected]
π± +880 1879 992680
A.N.M. Shakawath Hossain, CISA, CCISO
Director
Sami Tech Ltd
π§ [email protected]
π± +880 1817 035312
I'm always excited to collaborate on innovative projects, discuss AI/ML applications, or explore creative design opportunities. Feel free to reach out!
π± Phone: +8801995039697 | +8801639477955
π Location: Dhaka, Bangladesh
β If you find my work interesting, please consider giving a star to my repositories!