Machine Learning Software Development

An Nguyen

Garland, Texas *****

346-***-**** # ad5t8d@r.postjobfree.com ï linkedin.com/in/quocannguyen29102000 § github.com/quocannguyen

Education

University of Texas at Dallas August 2022 – May 2024 Bachelor of Science in Computer Science Richardson, Texas Relevant Coursework

• Artificial Intelligence

• Machine Learning

• Computer Vision

• AR Development

• Cybersecurity

• Database

• Operating Systems

• Systems Programming

• Digital Logic

• Advanced Algorithm

• Android Development

Experience

Southwest Research Institute May 2023 – August 2023 Software Development Engineer in Test Intern San Antonio, Texas

• Developed a data parser to translate hex data from the Lunar Magnetotelluric Sounder (LMS) instrument into a structured database format, using Python for efficient data manipulation and storage.

• Revamped an in-house tool for validating flight software designated for space instruments, ensuring precise data processing and interpretation through rigorous testing protocols and Python scripting. UT Dallas – Office Information Technology September 2022 – May 2023 Student System Analyst Richardson, Texas

• Enhanced workload automation and optimized GitLab repository management along with automation services, utilizing Python and Bash scripts for increased efficiency.

• Generated comprehensive reports and process documentation, updating script configurations and job setups, primarily in Windows and Linux environments, to streamline IT operations. CodePath August 2022 – December 2022

Teaching Assistant San Francisco, California

• Provided mentorship in Kotlin programming to college students, enhancing their coding proficiency and project outcomes through hands-on guidance and code reviews.

• Instructed students in the latest software development techniques and practices, with a focus on Android app development using Android Studio and other relevant technologies. Projects

Stock Analysis App Python, Flask, Streamlit, OpenAI, Machine Learning

• Developed a stock prediction tool using regression models and yFinance data.

• Implemented Sentiment Intensity Analysis using data from NewsAPI to gauge stock-related news sentiment.

• Enhanced tool capabilities with generative AI technologies from OpenAI, integrating cutting-edge functionalities.

• Built the frontend with Streamlit and backend with Flask; live at stockitup.streamlit.app. Optimized Chiller System Simulation Tool Python, pandas, XGBoost, sklearn, Streamlit, Anaconda

• Developed a ’What-If’ simulation tool to optimize chiller control sequences for CBRE.

• Preprocessed real-world chiller data using pandas for ML model training.

• Built and validated ML models with XGBoost and sklearn to predict chiller outputs.

• Integrated ML models into a Streamlit dashboard for real-time ’What-If’ analysis and visualization. Chest X-ray Pneumonia Detection Python, TensorFlow, Keras, Computer Vision, CNN

• Developed a CNN model to distinguish between normal and pneumonia-affected lungs from chest X-rays.

• Preprocessed and augmented images from a Kaggle dataset for training, validation, and testing.

• Implemented data augmentation to enhance model generalizability.

• Achieved 85.42% accuracy with the CNN model, evaluating performance via precision (84.84%), recall (93.33%), and specificity (72.22%).

Plagiarism Checker and Paraphraser Automation Python, Selenium

• Automated interactions with Grammarly and QuillBot for plagiarism and paraphrasing.

• Optimized data storage and retrieval to reduce web requests and enhance efficiency. Technical Skills

Languages: Python, C/C++, C#, JAVA, Kotlin, JavaScript, TypeScript, PHP, HTML, CSS, Godot, SQL Technologies/Frameworks: React.js, React Native, Google Cloud Platform, Expo, Selenium, MongoDB, next-auth, Git, Laravel, Linux, pwntools, ARFoundation, Lightship ARDK

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