Jalal Uddin
The woods are lovely, dark and deep,
But I have promises to keep,
And miles to go before I sleep,
And miles to go before I sleep.
- Robert Frost
Jalal Uddin
Software Engineer • Machine Learning EnthusiastAn enthusiastic and dynamic programmer with a relentless curiosity for problem-solving, possessing a versatile proficiency in coding across various languages and platforms. Extensively experienced in developing web applications in conjunction with a knack for crafting software architecture design, modeling, and maintaining scalable infrastructure for efficient development operations. Furthermore, my research in machine learning and data science has fostered a deep understanding of data-efficient software engineering. Seeking opportunities to further expand my research knowledge and contribute to groundbreaking advancements. Committed to staying abreast of the latest industry trends and continuously honing my skills through self-directed learning and participation.
- CBIS-DDSM dataset from The Cancer Imaging Archive (TCIA) was used in this research.
- A comprehensive mammography processing including pectoral muscle removal was done as data preprocessing.
- A hybrid neural network architecture (EffNetv2 + SVM) was designed for cancerous lesion classification.
- Match data of 27000 professional matches were collected from OpenAPI.
- Designed a Bidirectional LSTM network to predict the winner.
- Built a web application out of that model to predict winner real-time
- A sensors-based Arduino controlled gate manage system
- Streamlined real-time data communication using NodeMCU module for live update of the train.
- Deep learning-based workers’ safety detection model, trained with helmeted and masked face images.
- Real-time health monitoring and sensor data visualization server using Streamlit.
- The project was presented at a conference, 2022 International Conference on Mechanical, Industrial and Energy Engineering (ICMIEE)
- Designed a humanoid greeting robot prototype in the first year with a team of 30 members.
- The project was supervised by Dr. Sajal K. Das, Head, Department of Mechatronics Engineering.
J. Uddin, I. Fahmida, S. I. Moyeen and M. Mehedi Hasan, DOTA2 Winner Team Prediction based on Stacked Bidirectional LSTM Network 2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2022.
P. Das, Sarafat H. Abhi, F.I.Z. Sureed, J. Uddin, S. Jahan, R. Zaman, M.A.K. Niloy, An Intelligent Industrial Safety and Health Monitoring System for Industry 4.0 2022 International Conference on Mechanical, Industrial and Energy Engineering (ICMIEE), 2022.
A. Mazumder, M. A. K. Niloy, M. F. Shahed, Z. A. Madiha, F. R. Badal, J. Uddin and M. Z. Hossain, Performance Evaluation of Navigation Schemes for Autonomous Exploration of a Secondary Explorer Rover in a Martian Lava Cave 2022 IEEE Region 10 Symposium (TENSYMP), 2022.
Pitch Tuner - WebAudio API
Guitar tuner, uses auto-correlation algorithm
Laravel AdminLTE Components
Laravel Blade components for AdminLTE UI Kit
Algorithmic Toolbox
Data Structures & Algorithms Specialization
Data Structures
Data Structures & Algorithms Specialization
