Quang Tran

Quang Tran

Software Engineer

About Me

Aspiring software engineer based in Atlanta, GA and senior at Georgia State University. Dedicated to developing innovative solutions that advance the tech community. My interests center on leveraging artificial intelligence to improve productivity, optimize workflows, and drive meaningful progress in modern software development. I'm passionate about creating technology that not only solves problems but also inspires collaboration and growth.

Technical Skills

Proficient in Python, React, JavaScript, MongoDB, and Express.js, with a focus on building scalable, full-stack applications and developing intuitive user interfaces backed by efficient backend architectures.

Languages & Frameworks

Python, JavaScript, TypeScript, React, Next.js, Express.js, Vite, TailwindCSS, HTML, Java, Radix-UI

Databases & Tools

PostgreSQL, MongoDB, Docker

APIs & Testing

Insomnia, Postman

Highlights

Technical Award Poster: 3rd Place

NASA MINDS Competition (2024)

Recognized for innovative research on Bayesian Networks for lunar robotic swarm deployment

Honorable Mention

NASA MINDS Placement

Acknowledged for contributions to space exploration research and collaborative team efforts

Morgan Stanley Hackathon

72-Hour Hackathon Participant (2024)

Successfully delivered ComUnity App using MERN stack under tight deadlines with full-stack implementation

CodePath TIP102

Data Structures & Algorithms Program (2024)

Completed advanced technical interview preparation program with focus on algorithm optimization

CodePath X AmazonNext Design Challenge

Accessibility Design Competition

Developed AI-powered accessibility features for Spotify targeting users 55+ with memory disorders

SAS Certification

Visual Statistics on SAS Viya

Certified in interactive model building and statistical analysis using SAS enterprise tools

Featured Projects

PolyCapital

Co-Founder

Creating a startup brand that applies AI algorithms to improve everyday financial decision-making, offering users smarter insights on budgeting, investments, and cost optimization.

GitHub →

CodePath X AmazonNext Design Challenge

Competition Participant

Participated in CodePath's design challenge focused on accessibility in design. Redesigned Spotify to improve the experience for users 55+ with memory disorders. Designed a feature using AI-powered hum recognition to search for songs, allowing senior citizens to find music without needing to remember lyrics or song titles.

UX DesignAccessibilityUser ResearchDesign ThinkingSpotify Redesign
GitHub →

ComUnity App

Morgan Stanley Hackathon

A social platform developed during Morgan Stanley's 72-hour hackathon to enhance communication and build social capital within community housing. The app empowers community leaders and members to manage events, share stories, and foster belonging through digital collaboration.

MERN StackReactNode.jsExpress.jsMongoDBJWTTailwindCSS
GitHub →

Experience

Dark Alpha Capital

Software Engineer Intern

Aug 2024 — Present

  • Engineered automated scripts to mine and preprocess 2000+ public listings, creating structured datasets that powered scalable email automation campaigns.
  • Designed and contributed production-ready code to an email automation system powered by Amazon SES, integrating mined public listings into scalable outreach pipelines.
  • Collaborated with senior engineers to evaluate multiple email automation frameworks (Amazon SES, Brevo, custom SMTP), contributing research that guided the final architecture.
  • Tested new applications for usability and adherence to code plan.

CodePath

TIP102 Student

Sep 2024 — Dec 2024

  • Engaged in weekly practice of progressively challenging data structures and algorithms.
  • Deconstructed complex code for comprehension and clearly articulated thought processes.
  • Studied and applied data structures to real world programming.

Morgan Stanley

Hackathon Participant

Sep 2024

  • Acquired new concepts rapidly in a high-pressure, 72-hour hackathon environment.
  • Collaborated within a MERN Stack team to deliver a functional project under tight deadlines.
  • Took initiative in backend development and system design.

NASA MINDS (LakerMinds)

Bayesian Network Project Member

Feb 2024 — Mar 2024

  • Contributed to research deploying robotic swarms in lunar missions using Bayesian Networks.
  • Applied graph theory and probability to improve information flow under uncertainty.

Education

Georgia State University

Bachelor of Science: Computer Science

Expected August 2026 • Atlanta, GA

Clayton State University

Bachelor of Science: Computer Science

Aug-2022 - Aug-2024 • Morrow, GA

Affiliations

  • CodePath — TIP102 Student (Fall 2024)
  • LakerMinds — NASA MINDS Project Contributor

Certifications

SAS Visual Statistics on SAS Viya: Interactive Model Building

Get In Touch

I'm always open to discussing new opportunities, collaborations, or interesting projects. Feel free to reach out if you'd like to connect!

qdtran.dev@gmail.com