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Candidate's Name
Garland, Texas 75042PHONE NUMBER AVAILABLE # EMAIL AVAILABLE LINKEDIN LINK AVAILABLE github.com/quocCandidate's Name
EducationUniversity 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 DevelopmentExperienceSouthwest 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 2022Teaching 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. ProjectsStock 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 SkillsLanguages: 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 |
