Md Ali Azad

IT Engineer and Head of Quality Assurance · Euro-Bangla Ceramics Ltd (EBC). · Sylhet, Bangladesh
(+880) 01764969607 · aliazad969@gmail.com

I possess a deep passion for artificial intelligence, computer vision, natural language processing, machine learning, and deep learning. My enthusiasm has translated into tangible results through various projects, such as the development of a live crack detection system and an interactive trainer chatbot designed for new learners. In addition to my expertise in AI, I am well-versed in web development, further expanding my skill set in crafting innovative solutions. I earned my Bachelor degree in Computer Science and Engineering (CSE) from Shahjalal University of Science and Technology (SUST), Bangladesh.

Additionally, i am a highly motivated and detail-oriented Computer Science graduate student with 3 years of experience in IT engineering. Proficient in programming languages such as Python and Java and knowledgeable in database management and software development methodologies. To apply my knowledge in the real world, I am currently working at Euro-Bangla Ceramics Ltd. (EBC) as an IT Engineer and Head of Quality Assurance.

Work Experience

IT Engineer

Euro-Bangla Ceramics Ltd.

As an IT Engineer, I am responsible for managing and maintaining the company’s IT systems (Website, server, computer systems, etc.), ensuring their smooth operation, and supporting the development and implementation of IT projects. Furthermore, I have been working on creating a ChatBot for ceramics. You can try it out on the website.

March 2020 - Present

Head of Quality Assurance

Euro-Bangla Ceramics Ltd.

As a Head of Quality Assurance, I lead and manage the quality assurance team, implementing and maintaining quality control processes to ensure that all products meet industry standards. I have also been developing a program that can recognize and categorize cracks in fired ceramic products automatically.

January 2021 - Present

Research & Publications

Current research

Md Mahadi Hasan Nahid @ SUST & @ EBC
  • Live Object Detection using YOLOV4 models
  • Crack Detection
  • Sanitary-ware Product Classification
  • Enhancing CNN models' accuracy using GANs (Generative Adversarial Networks)
  • Pre-training using Restricted Boltzmann Machine (RBM)

Previous research

Md Mahadi Hasan Nahid @ SUST
  • Handwritten Character Recognition using CNN
  • Pre-training using Autoencoder
  • Handwritten Word Recognition using Holistic Approach and Analytical Approach
  • Image Augmentation

Publications

  • Azad, Md Ali, Hijam Sushil Singha, and Md Mahadi Hasan Nahid. ”Bangla Handwritten Character Recognition Using Deep Convolutional Autoencoder Neural Network.” 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT). IEEE, 2020. (IEEE Honorable Mention Award)

  • Azad, Md Ali, Hijam Sushil Singha, and Md Mahadi Hasan Nahid. ”Zilla-64: A Bangla Handwritten Word Dataset Of 64 DistrictsName of Bangladesh and Recognition Using Holistic Approach.” 2021 International Conference on Science Contemporary Technologies (ICSCT). IEEE, 2021.

Projects

  1. BHCR-using-DConvAENNet Public

    In this paper, we introduce an Autoencoder with a Deep CNN, which we call DConvAENNet for recognizing Bangla Handwritten Character (BHC). A total of 22 experiments were performed on the three-chara…

    Jupyter Notebook 3

  2. Crack-Detection-In-Sanitary-Ware-Products-Ceramics-Using-YOLOV4 Public

    This project leverages the power of YOLOv4, an advanced object detection algorithm, to identify and locate cracks in ceramic sanitary-ware products in real-time. This cutting-edge solution employs …

    Python

  3. SEClms Public

    SEClms is a web-based digital library management system application that is built using the Django framework. It is designed to help librarians manage their digital collections more efficiently and…

    JavaScript

  4. Code_Breakers_NSU Public

    At the NSU Inter-University Hackathon 2020, we took on the challenge of developing a web application that addressed the needs of both vendors and buyers. Our team proudly achieved the distinction o…

    Python 2

  5. Zilla-64-Dataset Public

    Forked from MahadiHasanNahid/Zilla-64-Dataset

    A Bangla Handwritten Word Dataset

  6. MySEC Public

    Forked from MySEC2018/MySEC

    Java 3

Education

Shahjalal University of Science and Technology (SUST), Sylhet, Bangladesh

Bachelor of Science, Computer Science & Engineering (With Honours)

Thesis: Bangla Handwritten Character Recognition using Deep Convolutional Neural Network
Advisor: Md Mahadi Hasan Nahid

March 2015 - February 2021

Scholarshome School and College, Sylhet, Bangladesh

Higher Secondary School Certificate (Science)
March 2012 - March 2014

Skills

  • Programming: Python, C/C++, Java, MATLAB, MySQL
  • Frameworks: Keras, Kivy, Tensorflow, OpenCV, Scikit-Learn, Pandas
  • Web Development: HTML/CSS, JavaScript, Django, Flask
  • CMS: WordPress, Blogger
  • Graphics Software: Adobe Illustrator, Adobe Photoshop, GIMP
  • Utilities: Git, Jupyter Notebook, Visual Studio, Sublime Text, Bracket, LaTex
  • Languages: Bengali (Native), English (Professional)

Awards & Achievements

  • IEEE Honorable Mention Award, Awarded by CAICT 2020: This paper ranked among the top 5 in the field of NLP-ML at the conference.
  • Winner of HACK NSU Season 2 Hackathon: We built a web application in 2 days and implemented features such as a procurement system, point of sale, and inventory system of a garment.
  • Best UI design HACK NSU Season 2: We also won the best User Interface Design award for implementing additional features and designing a standard database.

Extra-curricular Involvements

One of the Founders

Raise Hands - A social organization
January 2016 - July 2018

Member

United Social Association
January 2015 - August 2017