Portfolio

Software Engineering Student | Machine Learning & Deep Transfer Learning | Flutter Developer

Location: Mirpur, Dhaka, Bangladesh

Current: Daffodil International University

Contact: LinkedIn | GitHub | touhid.khuda@email.com

MY CV
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About

Innovative Software Engineering undergraduate with a strong analytical mindset and a passion for Artificial Intelligence, Machine Learning, and Mobile Application Development. Experienced in building scalable systems using Python and Flutter.

My technical journey heavily involves data science, exploring classification models such as KNN and Naive Bayes, and implementing deep transfer learning for healthcare solutions. I am deeply interested in system architecture, having hands-on experience designing robust Software Requirements Specifications (SRS), multi-tier architectures, and streamlined use case diagrams.

Experience

Software Engineering Researcher

Daffodil International University · Academic Research

Jan 2026 – Present · 8 mos

  • Spearheading a research thesis focused on medical image analysis using machine learning.
  • Developing data preprocessing pipelines using Python 3.13, NumPy, Pandas, and Scikit-Learn.
  • Evaluating and optimizing classification models using Precision, Recall, and F1-score.

Mobile Application Developer

AquaWatch Project Team · Contract/Academic

Apr 2026 – Present · 5 mos

  • Collaborating with cross-functional team members to engineer AquaWatch, a water quality monitoring and alert system.
  • Developing frontend and core logic using Dart and Flutter with Firebase integration for real-time sync.
  • Streamlined system architecture by leading SRS documentation and optimizing use case diagrams.

Education

Daffodil International University

Bachelor of Science - B.Sc., Software Engineering

2022 – 2026

  • Key Coursework: Management Information Systems, Cryptography and Information Security, Data Warehousing, Artificial Intelligence, Software Engineering.
  • Activities: Advanced study of ETL processes, multi-tier architectures, and cryptographic implementations including RSA and AES.

University of New Haven

Master's Thesis Proposal Preparation (Completed)

Jan 2026

Projects

Automated Detection of Hiatal Hernia from Chest X-Ray Images

Apr 2026 – Present · Associated with Daffodil International University

Designing an automated diagnostic tool utilizing Deep Transfer Learning to identify hiatal hernias from chest X-ray datasets.

Skills: Python, Machine Learning, Deep Transfer Learning, Data Preprocessing.

AquaWatch Water Quality Monitoring and Alert System

Apr 2026 – Present · Associated with Daffodil International University

A mobile application designed to track, monitor, and alert users regarding water quality metrics with real-time database updates and a responsive UI.

Skills: Dart, Flutter, Firebase, System Architecture, Team Collaboration.

Skills Matrix

Skill Area
Level
Evidence
Machine Learning
Advanced
KNN, Naive Bayes, deep transfer learning
Python
Advanced
Data preprocessing, model evaluation, research pipelines
Flutter / Dart
Intermediate
AquaWatch app development and UI implementation
Cryptography
Intermediate
RSA, AES, classical ciphers
System Architecture
Intermediate
SRS, use cases, multi-tier architecture
Firebase
Intermediate
Real-time database integration

Certificates

Here are some of the certificates I have earned:

Certificate in Career Essentials

Issued by: Career Essentials in Generative AI by Microsoft and LinkedIn

View Certificate

Certificate in UI/UX

Issued by: UY LAB Online UI/UX

View Certificate

Contact Me

If you'd like to get in touch, feel free to reach out to me via email or social media, or use the form below: