I am

Name: Quan Tran

Profile: CS Student Specializing in Computer Vision

Email: qmt1@rice.edu

Phone: (281)-690-6463

Skills
Python Expert
Go Advanced
C++ Proficient
Machine Learning Advanced
Databases Advanced
Cloud & DevOps Proficient

About me

Hi, I'm Quan Tran, a Computer Science student at Rice University with a focus on backend systems, data infrastructure, and applied machine learning. Through internships at HP, VNG Cloud, and the Rice Computer Vision Lab, I've gained experience building robust software—from a Python-based automation framework integrated into Jenkins pipelines, to an online-learning anomaly detection system deployed on live cloud traffic, to full-stack tools for evaluating object-tracking models. My work spans scalable system design, data processing, and real-time performance optimization across both industry and academic settings.

Outside of internships, I've led and contributed to several technical projects that reflect my range and initiative. These include a real-time messaging app with a custom Go-based backend, a NoSQL database with RESTful APIs and concurrency support, and a gesture-tracking productivity tool powered by computer vision. I've also explored embedded systems and sensor fusion for exoskeleton control and managed cloud databases and caching layers for large-scale applications. I enjoy tackling complex technical challenges and turning ideas into efficient, well-structured solutions.

Summary

Quan Tran

Computer science student with experience in backend systems, data infrastructure, and applied machine learning, seeking a Software Engineering role to build scalable, reliable, and impactful products.

  • Houston, Texas
  • (281)-690-6463
  • qmt1@rice.edu

Education

B.S. in Computer Science

2022 - Present

Rice University, Houston, Texas

GPA: 3.8/4.0

Professional Experience

Computer Vision Research Intern - Rice University Computer Vision Lab

May 2025 - Present

Houston, Texas

  • Built a full-stack annotation tool with JavaScript front end and Python backend (Flask, OpenCV) to evaluate rigid object tracking performance
  • Enabled dynamic point and line selection, real-time track visualization, and seamless integration with models such as CoTracker3 and PIPs++
  • Designed backend architecture for loading video data, managing tracker configuration, and multi-model support
  • Benchmarked state-of-the-art trackers through both visual analysis and quantitative metrics to identify edge cases and performance bottlenecks
  • Currently working on fine-tuning and training models for test-time optimization to improve rigid shape tracking on unseen data

Software Engineer Intern - HP/Poly

May 2024 - August 2024

Austin, Texas

  • 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
  • Collected and benchmarked Quality of Service data to evaluate live video performance in real-time test environments
  • Refactored legacy codebase to double data retrieval speed and improve API efficiency

Software Engineer Intern - VNG Cloud

May 2023 - August 2023

Vietnam

  • Built a scalable ML-based anomaly detection system to monitor cloud server traffic for millions of users, improving incident response time by 30%
  • Evaluated time-series models (Holt-Winters, Prophet, ARIMA) and built an online-learning system that improved detection performance by 10% over baseline on seasonal traffic data
  • Integrated a relational database to log and trigger user alerts on server traffic anomalies, with average delivery latency under 3 seconds
  • Collaborated with cross-functional teams to deploy the alert system within the existing monitoring infrastructure

Projects

Tracker project screenshot

Trackers Visualizer

Annotation tool to select points and lines in a video to perform point tracking.

  • Built a full-stack annotation tool
  • Evaluate rigid object tracking performance
  • Point and line selection for tracking
  • Multi-model support (CoTracker3, PIP++)

Tech: PyTorch, Deep Learning, OpenCV, Computer Vision, Python, JavaScript

OwlDB project screenshot

OwlDB

Custom NoSQL database with high-concurrency support and RESTful API interface.

  • Designed extensible backend architecture in Go
  • Implemented CRUD endpoints with JSON support
  • Used Go's concurrency features for parallel request handling
  • Achieved 92% test coverage with robust test cases

Tech: Go, REST API

View on GitHub
Game Editor project screenshot

Text-Based Game Editor and Engine

Designed and built game editor and engine for text-based games for SLB for onboarding processes.

  • Led the UI/UX team to integrate with backend systems
  • Managed database team for real-time scalabiility
  • Simulated 500 users to optimize database performance
  • Collaborated cross-team for integration and conducted e2e testing

Tech: Azure, CosmosDB, Redis, C#, .NET, Figma

HOLLY project

H.O.L.L.Y.

Built a device that turns any flat workspace into an interactive area using hand tracking.

  • Implemented lens correction to improve hand tracking
  • Designed an intuitive user interface with projection mapping using Kivy library
  • Integrated LLMs, speech recognition, and TTS for a personalized assistant

Tech: Python, OpenCV, Kivy, Computer Vision

View on GitHub
Exo screenshot

Wearable Exoskeleton

Led the development and prototype of a wearable exoskeleton suit to augment user's strength

  • Explored control strategies to detect user's intent
  • Process sensor signals to extract muscle patterns
  • Evaluated low-latency communication protocols (I2C, SPI) for real-time signal processing
  • Investigated combining EMG and IMU data to improve motion prediction accuracy

Tech: Arduino, C++, Signal Processing, I2C, SPI

Messaging project

Messaging App

Built a real-time messaging app with a custom NoSQL backend in Go, optimized for responsiveness and scalabiility

  • Designed accessible, intuitive user interfaces
  • Integrated database storage, message history, and conversation metadata for fast retrieval
  • Employed decoupling software design principle for maintainability

Tech: HTML, CSS, Typescript

View on GitHub
View my resume

Contact

Please reach out if I am a good fit for your company

Location

United States of America

Call

+1 281 690 6463

Email

qmt1@rice.edu

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