
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-FounderCreating a startup brand that applies AI algorithms to improve everyday financial decision-making, offering users smarter insights on budgeting, investments, and cost optimization.
CodePath X AmazonNext Design Challenge
— Competition ParticipantParticipated 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.
ComUnity App
— Morgan Stanley HackathonA 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.
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!