MA

Md Asaduzzaman

Software Engineering graduate — Machine Learning, Explainable AI & scalable software systems. Chittagong, Bangladesh.

✉ asaduzzamanh0@gmail.com ☎ (+880) 1869996619 📍 East Mirsarai, Chittagong, BD 🌐 md-asaduzzaman.com f Asaduzzamanh

About

Motivated Software Engineering graduate with a solid academic background in software development, machine learning, and artificial intelligence, complemented by research experience in emerging technologies. Passionate about solving complex problems through innovative, scalable software solutions — seeking to advance through a master's degree and contribute to research and technological innovation.

Education & Training

Bachelor's Degree in Software Engineering 2021 – 2025
Hubei University of Technology · Wuhan, Hubei, China · Final grade 3.57
Thesis: Design and Implementation of Automated API Documentation Generator.
  • Outstanding Graduate Award
  • Published two research papers in Machine Learning and Artificial Intelligence
  • Presented research at ECCE 2025
Diploma in Electrical Engineering 2015 – 2019
Shamoly Ideal Polytechnic Institute · Chattogram, Bangladesh
Professional Web Development Training 2020
CodemanBD · Dhaka, Bangladesh
Search Engine Optimization (SEO) 2017
Independent IT · Dhaka, Bangladesh

Work Experience

CNC Machine Software Operator Intern Oct – Dec 2025
Search Engine Optimization (SEO) Expert 2021 – 2022
The Constant Pty Ltd · Sydney, Australia — Information Technology, Manufacturing
Amazon & eBay Store Manager 2019 – 2020
ZAY International Pty Ltd · Sydney, Australia — Wholesale & retail trade
Assistant Engineer Intern Feb – May 2019
Sheema Automatic Re-Rolling Mills Limited (SARM) · Chittagong, Bangladesh
Software Support —
Dongguan Shipai Zhengfei Die Factory · Dongguan, China — Manufacturing

Publications & Conferences

2024 · Journal Article
Machine Learning-Driven Nanomaterial Design: Predictive Modeling for Enhanced Performance in Electronics
Co-authored (4th author) predictive framework for nanomaterial design using supervised learning, feature engineering, and transfer learning. Published in Nanotechnology Perceptions, Vol. 20, No. S14, pp. 2039–2051.
Feb 2025 · Conference
Enhanced Interpretability in Depression Classification with the Use of Machine Learning Models with Explainable AI
Presented at ECCE 2025 (International Conference on Electrical, Computer and Communication Engineering), CUET, Chattogram — co-author, focused on ML + XAI for depression-classification interpretability.

Academic & Project Work

Automated API Documentation Generator

Undergraduate thesis — automatically extracts endpoints, parameters, and auth methods to generate structured, maintainable API docs.

Pharmacy Store Management System

Web app (PHP, CodeIgniter, MySQL, HTML/CSS/JS) covering inventory, sales, customers, and reporting.

Depression Classification with Explainable AI

ML models for depression classification with XAI techniques for transparency — presented at ECCE 2025.

ML for Nanomaterial Property Prediction

Applied ML to predict nanomaterial properties for electronics; resulted in a Scopus-indexed publication.

CNC Manufacturing Training

G-code generation, toolpath programming, and machining operations using Mastercam.

Additive Manufacturing (3D Printing)

SolidWorks modeling with hands-on slicing, printer setup, and prototype fabrication.

Research Interests

Artificial Intelligence Machine Learning & Deep Learning Software Engineering Explainable AI (XAI) Intelligent Systems Data Science & Predictive Analytics

Skills

PythonCR SQL / MS-SQLHTML / CSS / JavaScript JavaDeep Learning Data StructuresSoftware Testing Android StudioFigma & Adobe XD KEIL / PROTEUSNI Multisim AutoCAD & SolidWorkseBay & Amazon API Amazon / eBay Store OpsSEO Facebook AdsMS Office (Word, Excel, PPT, Access) Teamwork-oriented

Languages

Bengali Mother tongue
English Listening C2Reading C1 Writing C2Spoken Prod. C2 Spoken Interact. C2
Chinese Listening C1Reading C1 Writing B2Spoken Prod. C1 Spoken Interact. C1

Co-Curricular Activities

Leadership & Student Engagement

Organized academic, cultural, and international student activities at Hubei University of Technology; collaborated across cultures through the International Student Association.

Volunteering & Community Service

Blood donation campaigns and public-health awareness volunteering during the COVID-19 pandemic.

Research Collaboration

Worked with multidisciplinary teams on machine learning and software engineering research projects.

Membership

International Student Association (ISA), Hubei University of Technology.

Recommendations

Prof. Zhiwei Ye

School of Computer Science, Hubei University of Technology
hgcsyzw@hbut.edu.cn · (+86) 18971593240

Prof. Ting Cai

School of Computer Science, Hubei University of Technology
caiting@hbut.edu.cn · (+86) 17723625159

Last updated · 2026 · md-asaduzzaman.com