TD.

Hi, my name is

Tien Le.

I study and research AI, Machine & Deep Learning, Computer Vision topics. While crafting beautiful things for the web.

Email: tienthedev@icloud.com

GitHub: @tienthedev

I'm graduating in

44d 14h 12m 47s

Experience

  1. Data Analyst @ Dallas College

    • Engineered SAS programs to process 50K+ student enrollment records per quarter, improving data accuracy by 25% and reducing scheduling conflicts by 15%.
    • Built automated data validation routines identifying 2,000+ discrepancies in scheduling datasets, ensuring FERPA compliance and achieving 98% data quality for institutional reporting.
    • Developed a production Power BI dashboard using SQL, Python, and Azure to track 3 KPIs (productivity, accuracy, performance) across 200K+ work requests, enabling managers to make data-driven staffing decisions.
    • Migrated legacy SAS scripts to Python, streamlining end-to-end data pipelines and ensuring full compatibility with Microsoft Fabric Lakehouse for scalable, cloud-native analytics.
  2. Records Analyst @ The City of Alvarado, Texas

    • Assist City Secretary in managing official municipal records and maintaining compliance with records retention policies
    • Digitalize physical and historical documents into Laserfiche for long-term municipal recordkeeping
    • Led end-to-end digitization project for historical construction drawings and plans, managing full procurement lifecycle independently
    • Sourced and evaluated vendors, gathered competitive quotes ranging $25K–$40K, and negotiated final contract to $20K — $5K under the $25K budget
    • Conducted physical document inventory to define project scope and inform vendor estimates, directly enabling below-budget outcome
  3. Automation Technology Analyst @ Southwest Airlines

    • Authored 100+ automated test scripts using Cucumber Gherkin and Java, deployed via Docker Compose for end-to-end certification testing, ensuring 100% requirement coverage before production release.
    • Integrated FICO Blaze Advisor business rules into thousands of user stories for the Crew Scheduling System, driving consistent and accurate test outcomes across all scenarios.
    • Led full framework migration to a modernized testing platform, streamlining QA workflows and boosting team efficiency by 40%.
    • Architected and implemented detailed user stories using Cucumber Gherkin and deployed automation test scripts to Docker Compose for certification testing, ensuring all requirements are met and ready for production.
  4. Software Development Engineer @ General Motors Financial

    • Conducted front-end unit testing for Mode by GM Financial, using Angular, C#, TypeScript, and .NET Maui, ensuring optimal performance with a high-volume cloud database and user base.
    • Led a team of talented developers to build a cutting-edge, secured banking system, recognized as the winning application in an engineering department-hosted Hackathon.
    • Collaborated closely with senior engineers and architects to learn and contribute ideas for implementations.

Featured Projects

UTA Maverick Market

UTA Maverick Market

Developed a dynamic Android health tracking application for GI patient.

ReactNextJSTailwind CSSOpenAuthSupabase DatabaseSanityIO
Belly Buddy - Health Tracking Android Application

Belly Buddy - Health Tracking Android Application

Developed a dynamic Android health tracking application for GI patient.

KotlinJetpack ComposeAndroid StudioJetpack Room Database
Keras and Convolutional Neural Network Training

Keras and Convolutional Neural Network Training

Trained a neural network using Keras with TensorFlow backend. Implemented backpropagation and gradient descent for optimization.

Linear AlgebraPythonBackpropagationGradient DescentTensorFlowKerasNumPy
Gradient Descent in Perceptrons and Neural Network Training

Gradient Descent in Perceptrons and Neural Network Training

Computing the output of perceptrons and neural networks using gradient descent. Implemented in Python with NumPy.

Linear AlgebraPythonGradient DescentNumPy
Backpropagation in Neural Network Training

Backpropagation in Neural Network Training

Implemented backpropagation algorithm for training neural networks. Utilized NumPy for matrix operations.

Linear AlgebraPythonBackpropagationNumPy
Iris Decision Tree Classification

Iris Decision Tree Classification

Build, train, and evaluate a Decision Tree classifier with the Iris dataset. Visualize decision boundaries and make predictions on new data.

TensorFlowPythonDecisionTreeMachine LearningMatplotlib
Eigenface and Computer Vision

Eigenface and Computer Vision

Implemented Eigenface algorithm for facial recognition using OpenCV and Python.

OpenCVPython
Full-Stack Hotel Booking App

Full-Stack Hotel Booking App

Developed a responsive hotel booking platform with animated UI elements.

ReactNextJSTailwind CSSOpenAuthMongoDBSanityIO