Software Engineer Machine Learning

Quan Tran

********@****.*** • 281-***-**** • https://github.com/QuanTran255

EDUCATION

Rice University – B.S. Computer Science (GPA 3.8/4.0) - Aug 2022 – Jan 2026 Houston, TX

● Relevant Courses: Practical Machine Learning, Concurrent Program Design, Compiler Construction, Intro to Computer Systems, Tools and Models for Data Science, Probability and Statistics, Intro to Program Design, Reasoning about Algorithms, Linear Algebra, Fund. Computer Engineering WORK EXPERIENCES

HP/Poly - Software Engineer Intern – May 2024 – August 2024

● Developed an end-to-end Python framework using Zoom Rest API for automated testing, enabling Zoom Rooms configurations before and after testing to validate and certify software for Zoom

● Integrated the framework with the current Jenkins pipelines for minimal configurations when setting up and creating new test cases

● Integrated Zoom API to obtain Quality of Service data, enabling live video performance optimization

● Overhauled legacy testing framework, more than doubling the speed of data retrieval VNG Cloud - Software Engineer Intern – June 2023 – August 2023

● Developed an alarm system using machine learning for millions of customers in one of the fastest-growing companies in cloud computing to detect and notify any anomalies in their servers’ traffic, resulting in 30% faster response time to errors in the servers

● Researched various forecasting models such as Holt-Winters, Prophet, and ARIMA to compare the performance of each model for datasets with different characteristics

● Analyzed performance of each model and integrated a robust, online-learning anomaly detection system with 90% accuracy

● Collaborated with cross-functional teams to integrate the alarm system with existing server monitoring platforms, ensuring seamless deployment and enhanced functionality

LEADERSHIP

Rice EXO - Co-President – 2024 – 2025

● Established a new club focused on the design, development, and testing of exoskeleton suits to enhance human strength and mobility, creating opportunities for interdisciplinary collaboration among engineering students

● Led recruitment efforts, growing membership to include students with diverse expertise in mechanical design, robotics, and biomechanics

● Designed and implemented projects exploring advanced exoskeleton technologies, including control simulators and wearable prototypes, with an emphasis on safety, efficiency, and user experience

● Promoted innovation and risk management by developing a comprehensive plan addressing emotional, financial, and operational risks associated with exoskeleton development

PROJECTS

Messaging App – October 2024 – Present

● Built a real-time messaging web app with Go-based REST API, enabling efficient data storage, retrieval, and management, supporting thousands of simultaneous users

● Designed intuitive user interfaces with the focus on accessibility using HTML, CSS, and Typescript frameworks

● Integrated database storage for users, message history, and conversation metadata, optimizing query efficiency to support fast message retrieval OwlDB - Custom NoSQL Database – August 2024 – October 2024

● Implemented authentication for different users to access the database

● Developed a robust RESTful API in Go, enabling seamless access to and manipulation of database records to support CRUD operations

● Leveraged Go’s concurrency features to handling millions of requests concurrently

● Designed structured endpoints and query parameters to allow flexible, dynamic data retrieval, enabling integration with frontend application

● Improved reliability with extensive unit and integration testing, achieving a 92% code coverage rate Market Prediction for Housing Prices – October 2024

● Built regression models to predict Houston home prices, leveraging data preprocessing and feature engineering to handle missing values and enhance performance

● Analyzed neighborhood pricing trends, visualizing geographic distributions and feature importance to provide actionable market insights

● Improved predictive accuracy by 50% over baseline, aiding stakeholders in competitive pricing and data-driven property valuation H.O.L.L.Y. – December 2023 – August 2024

● Created a productivity tool that transforms any flat surfaces into interactive screens using computer vision

● Implemented lens distortion algorithms for accurate hand gestures tracking

● Designed an intuitive user interface with projection mapping to navigate through apps using Python Kivy library

● Integrated large language models (LLMs), speech recognition, and text-to-speech technologies to develop a natural-sounding personal assistant SKILLS

Programing Languages: Java, C/C++, Python, Golang, HTML/CSS, TypeScript, JavaScript, React, Spark, R, Bash, Assembly Dev Tools: Git, Jenkins, Docker, CI/CD, TCP/IP Networking, Postman Database: Relational Database, GraphQL, SQLAlchemy, NoSQL, MySQL, MongoDB Architecture: Object Oriented Programming, Concurrent Programming, Model-View-Controller, RESTful, Client-Server Model, Event-Driven Data Science: Regression Model, Deep Learning, Regularization, Cross Validation, Natural Language Processing, Pandas, NumPy, Forecast Models, Anomaly Detection, Recurrent Neural Networks, Convolutional Neural Networks, TensorFlow, Pytorch

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