Hello, I'm Thi Huyen! 👋

A girl with a big dream, doing my 20s with a smile 😊 and navigating through the tech world 🍀.

I am an innovative and detail-oriented Software Engineer with a strong passion for developing scalable, secure, and efficient applications. With expertise in both Web and Mobile App Development, I am constantly exploring new technologies to build impactful solutions.

My interests also extend to AI/ML and large language models (LLM), where I aim to leverage cutting-edge advancements to drive innovation.

Currently, I am seeking new opportunities where I can contribute my skills and make a meaningful impact in the tech industry.

Thi Huyen

Education

Bachelor of Engineering Information Systems

Humber Polytechnic

Toronto, CA

Expected: May 2026

GPA: 3.7/4.0

Major: Internet of Things

Scholarships & Awards

  • Renewable degree entrance scholarship
  • FAST Bachelor of Engineering diversity leadership scholarship
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C++ logo
Dart logo
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Git logo
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Skills & Expertise

Frontend

  • React.js
  • Redux
  • TypeScript
  • JavaScript
  • Tailwind CSS
  • HTML
  • CSS3/SASS

Backend & Mobile App

  • Node.js / Next.js
  • ASP.NET
  • Python
  • Java
  • C/ C# /C++
  • Dart / Flutter
  • Bash/Shell Scripting

Databases

  • SQL
  • Postgres
  • MongoDB
  • Redis
  • Firebase

Tools

  • Git
  • Docker
  • AWS
  • Azure DevOps
  • Kubernetes
  • Jenkins
  • Postman
  • Linux
  • Jira

Data Science & ML

  • Pandas
  • NumPy
  • Matplotlib
  • Scikit-Learn
  • Keras
  • Seaborn
  • TensorFlow
  • Plotly

Other

  • Agile
  • CI/CD
  • REST API
  • JUnit
  • NUnit
  • Problem Solving
  • Team Work

Experience

May 2024 - Present

Junior Software Developer

MDMToGO

Mississauga, CA

ASP.NET C# Java AMAPI Full-stack Developement Android Development Enterprise Mobility Management (EMM) application Firebase Redis Azure
  • Developed intuitive Front-end with robust Back-end functionality using C#, ASP.NET, Web API, and Android Management API (AMAPI), delivering scalable EMM web applications capable of handling 1M+ device requests daily
  • Optimized SQL Server databases, reducing query latency by 50% through efficient indexing and stored procedures
  • Improved page load times by 80% using caching techniques, lazy loading, and database query optimizations
  • Designed and implemented end-to-end geofencing features with minimal guidance across Android app, backend APIs, front-end, and database, achieving 95% accuracy in device event detection
  • Enabled dynamic creation and enforcement of geofence boundaries for real-time tracking across 5,000+ devices
  • Built a high accuracy geofencing system using Java and Ray Casting Algorithm, processing updates under 200ms
  • Integrated enforcement controls with AMAPI, including kiosk mode, lockdown, and notifications for policy compliance
  • Reduced rule synchronization latency by 25% using Firebase Push Notifications, scaling to support 100+ geofence rules per user
  • Reduced Azure Maps costs by 40% by implementing a multi-tier caching strategy using local disk, in-memory, and Redis
  • Developed a secure Wi-Fi management system with backend support for client/server certificate handling, enhancing device enrollment security and boosting user autonomy by 30%
  • Strengthened device security by allowing users to set password complexity levels and enforce encryption and compliance policies, reducing unauthorized access by 25%
  • Automated help page generation from a private Azure repository, reducing manual updates by 80% and improving user query response time by 50% with a real-time, searchable help system
  • Architected an event log system to track user interactions, enhancing system auditability and reducing debugging time by 40%
  • Collaborated on DevOps workflows using Azure DevOps, implementing CI/CD pipelines and automated testing, reducing deployment times by 70%
  • Implemented unit testing with NUnit, achieving 95% test coverage and ensuring application stability and reliability
  • Participated in code reviews and followed Agile methodologies, improving code quality and development efficiency

Sep 2022 - Aug 2023

Math Tutor

Humber College

Toronto, CA

Teaching
  • Tutored complex topics, including Calculus, Linear Algebra, Discrete Mathematics, Probability & Statistics and Data Structures & Algorithms, improving student academic performance with average grades of 15%

Projects

Cloud based smart mornitoring system

Cloud based smart mornitoring system

The smart room system enhances environmental control by monitoring temperature, humidity, light, oxygen, and occupancy. With integrated hardware, software, and cloud solutions, it features secure DNN-based facial recognition for authentication and a user-friendly website and mobile app for controlling room settings.

CC++PythonFlutterFirebaseDeep Neural Networks (DNN)Arduino IDENetworkingMachine LearningInternet of Things
So you want to be an auditor

So you want to be an auditor

The app provides an engaging, gamified approach to understanding the Canadian tax system, helping immigrants, young adults, and teenagers navigate tax education through interactive levels, challenges, and an AI chatbot for support.

ReactJSPythonRedisCloudflareDockerFastAPIArtificial IntelligenceNatural Language ProcessingHackathon SheHacks+8
HiFive

HiFive

HiFive is a collection of five interactive games designed to challenge and entertain users. It includes an unbeatable Tic Tac Toe powered by the Minimax algorithm, a real-time Rock-Paper-Scissors game using TensorFlow and webcam detection, a fast Puzzle game with A* algorithm optimization, a classic memory card game, and an exciting Word Search challenge.

ReactJSReduxPythonTensorFlowOpenCVHTMLCSS/SCSS
Memoritoo

Memoritoo

A Flashcard website leverages OpenAI to effortlessly create flashcards and generate quizzes based on user input. It incorporates the Pomodoro technique for efficient learning, offers customizable study modes, and enhances retention with visual aids and engaging AI-generated stories. Motivational quotes, versatile learning modes, and unique quiz formats like MindCraft and GeniusMode make learning both fun and effective.

ReactJSRedux,NodeJSOpenAI APIHTMLCSS/SCSS
Cancer Predictor

Cancer Predictor

Cancer Predictor ML is a machine learning project that uses Logistic Regression to predict the likelihood of breast cancer and diabetes, achieving over 95% accuracy. The project features two applications: one for breast cancer with over 97% accuracy, and another for diabetes, both offering dynamic, interactive graphs based on user input.

PythonTensorFlowPandasNumpyMatplotlibJupyter NotebookMachine Learning
VNHub

VNHub

VNhub is your ultimate travel companion, offering real-time weather forecasts, destination information, and AI-powered trip planning. Explore iconic locations and hidden gems in Vietnam and around the world, read user reviews, and get expert travel advice. Plan your next adventure effortlessly with personalized recommendations and expert-guided bookings.

ReactJSRedux,NodeJSOpenAI APIWeather APIHTMLCSS/SCSS

Let's Connect!

Email

khanhhuyenx20@gmail.com

Phone

+1 (647) 451-9838