Available for opportunities

Md Zahin
Uddin

Senior Software Engineer with 3+ years at Samsung R&D. Specializing in scalable full-stack systems, AI/ML integration, and performance optimization. Currently pursuing M.Sc. CS at Memorial University.

Get in Touch → View Projects
3+
Years at Samsung
15%
Perf. Improvement
40+
Teams Beaten
95%
ML Accuracy
Md Zahin Uddin - Software Engineer
Open to Work · St. John's, NL
About Me

Engineered for
High Performance

I'm a results-driven Software Engineer with a track record of building production-ready, scalable systems. My 3+ years at Samsung R&D Institute Bangladesh sharpened my skills in front-end architecture, AI/ML integration, and cross-platform development including iOS.

Currently deepening my research chops through an M.Sc. in Computer Science at Memorial University of Newfoundland, where I recently won the Fastest BFS Search Code award in graduate-level competition.

I bring a rare mix of industry engineering experience and academic rigor — fluent in English (IELTS Band 7), and passionate about building software that genuinely moves the needle.

LinkedIn GitHub ✉ zahinuddin5@gmail.com
Technical Skills

Languages

Python JavaScript Java C/C++ Swift SQL

Frontend

React.js Next.js HTML/CSS UIKit

Backend

Node.js Spring Boot RESTful API MongoDB

Tools & Cloud

Git/GitHub GCP Cloudinary VS Code IntelliJ

AI / ML

XGBoost ANN Scikit-learn Jupyter

Other

Stripe Clerk iOS Dev LaTeX
Work Experience

Where I've Worked

3+ years of industry engineering across enterprise and startup environments.

Samsung R&D Institute Bangladesh
Senior Software Engineer
📍 Dhaka, Bangladesh
Nov 2022 – Dec 2025
  • Led front-end development using React.js for enterprise-scale applications
  • Improved application performance by 15% through code optimization and architecture refactoring
  • Built full-stack features using JavaScript, Node.js, and Python
  • Integrated AI/ML capabilities into production web applications
  • Contributed to iOS development for Samsung SmartThings (Swift, UIKit)
  • Led research initiatives contributing to patents and innovation
JavaScript React.js Node.js Java Python Swift UIKit
Tudo Technologies Pvt. Ltd.
Junior Software Developer
📍 Bengaluru, India (Remote)
Dec 2021 – Nov 2022
  • Led React.js front-end development and built backend services with Node.js
  • Mentored 3 junior developers and delivered multiple production projects
  • Integrated Google APIs to enhance platform functionality
HTML/CSS JavaScript React.js Node.js
Featured Work

Projects

Production-grade software — from AI SaaS to algorithmic solutions.

🖼️
ModifyMate
AI-powered SaaS web app for advanced image modification. Features restoration, recoloring, generative fill, object removal, and semantic search.
Next.js MongoDB Cloudinary AI Stripe Clerk
View details →
🤖
SmartThings iOS Integration
Contributed to Samsung SmartThings iOS development, building native features with Swift and UIKit for millions of Samsung ecosystem users.
Swift UIKit iOS Samsung
View details →
🧬
Cardiovascular Prediction Model
Undergraduate research using XGBoost with correlation-based feature selection achieving 95.06% accuracy in cardiovascular breakdown prediction.
Python XGBoost ANN ML
View details →
View All Projects →
Education

Academic Background

Strong foundation across theory, algorithms, and applied systems.

M.Sc. in Computer Science
Memorial University of Newfoundland
📅 January 2026 – Present
📍 St. John's, NL, Canada
B.Sc. in Computer Science & Engineering
University of Chittagong
📅 January 2017 – August 2022
CGPA: 3.45 / 4.00
Recognition

Achievements

Awards from competitions, certifications, and academic excellence.

🏆
BUET CSE Fest Hackathon 2022
Best Documentation Award — Team Scapegoat. Outperformed 40+ competing teams. Prize: 15,000 BDT.
⚡
Fastest BFS Search Code — MUN 2026
Awarded fastest BFS implementation among all graduate students in CS 6980 at Memorial University.
🎓
Samsung SW Professional Certificate
Excellence in SW Certificate Test (SWC00631). Internal Capability Certification — Samsung Electronics, Nov 2023.
🥇
CUET Programming Contest 2019
Ranked 11th out of numerous participating teams in competitive programming contest.
See All Achievements →
Research

Undergraduate Research

Undergraduate Thesis
Evaluating Features Impact on Cardiovascular Breakdown Prediction
Using ANN and Machine Learning Models
Supervisor
Prof. Dr. Kazi Ashrafuzzaman
Method
Correlation-based feature selection
Best Accuracy
XGBoost — 95.06%
Models Used
XGBoost, ANN, ML Ensemble
Let's Connect

Open to New
Opportunities

Whether you're a recruiter, collaborator, or just want to chat about tech — I'd love to hear from you.

✉️
Email
zahinuddin5@gmail.com
 💼
LinkedIn
linkedin.com/in/zahinuddin
 💻
GitHub
github.com/Zahin52
 📞
Phone
(709) 219-5694