- ANDREW NGUYEN -

Software Engineer

C++/C# Python Java HTML Ruby SQL React

Hawthorne, CA 90250 • 310-***-**** • adx4bo@r.postjobfree.com

Highly skilled and innovative software engineer with 3 years of experience in software development. Committed to delivering high-quality software solutions by leveraging strong analytical and problem-solving skills. Seeking a software engineer role to contribute experience in software development and collaborate with a dynamic team to drive technological advancements and achieve organization goals.

PROFESSIONAL EXPERIENCE

Remote• Freelance Software Developer 01/2023 - Present

Updated, modified and expanded existing software programs.

Developed custom software solutions for 2 clients.

Developed mobile applications for Windows Mobile platforms.

Supervised the work of 3 other software engineers.

Directed software programming and development of documentation.

Developed custom software solutions for a client using Delphi 7\Pascal.

Trained 5 equipment operators, data entry and user personnel.

UC San Diego, La Jolla • Research Software Engineer 02/2019 - 12/2022

Defined, developed and implemented guidelines to ensure code quality.

Provided troubleshooting support to a 5-member team of developers and engineers.

Collaborated with colleagues to deliver innovative advancements.

Instrumental in building and improving tools to improve overall team efficiency by 28%.

Mentored and led 2 junior developers, who were subsequently recruited by other companies upon graduation.

EDUCATION

Masters of Science in Mechanical Engineering • UC San Diego, La Jolla

Graduation Year (2022)

Bachelors of Science in Bioengineering • UC San Diego, La Jolla

Graduation Year (2022)

PROJECTS

Machine Learning Image Classification

Developed a machine learning model using Python and TensorFlow to classify images into various categories.

Preprocessed and augmented the dataset to improve model accuracy and generalization.

Fine-tuned the model architecture and hyperparameters through extensive experimentation.

Achieved an accuracy of 90% on a test set of 10,000 images.

Mobile Expense Tracker App

Developed mobile expense tracker application using React Native and Firebase.

Implemented features for capturing and categorizing expenses, generating reports, and setting budget limits.

Integrated Firebase Authentication and Firestore for secure user authentication and data storage.

Worked with UI/UX to create an intuitive and user-friendly interface.

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