Available for Full-Time Opportunities

Hi, I'm Ryan Tran

Passionate about building innovative AI-solutions through scalable web applications.

Beyond the Code

While I love building software and exploring AI, there's more to my story. Here's a glimpse into who I am outside the world of algorithms and APIs.

aayats internship
aayats internship
prhs swim meet flick
aayats internship

My Journey

Growing up in the Metro-Atlanta area, I discovered my passion for technology through curiosity, unlimited creativity, and countless hours of tinkering. What started as wondering "how does this work?" evolved into building solutions that impact real people.

At Kennesaw State University, I'm not just studying Computer Science. I independently learn about AI (LLMs, RAG, NLP, MV, ML, etc.) and build projects to apply and grow my knowledge in Software Engineering.

When I'm Not Coding

adventure

travel, eating at new spots, etc.

sports

almost everything :)

gaming

fps & metaverse platform

music

dream-pop & electroclash

Fun Facts

  • Swam for over 10 years competitively in Georgia
  • Built 5 AI apps that scaled to 200+ users each
  • Currently maintaining a 3.79 GPA while working full-time
  • Love fashion and style, collecting pieces since 6th grade

Cool Little Quirks

just a random collections of images or ui components i found that i wanted to add to this site.

My Projects

collections of projects i've created during my journey from student to developer.

AI Mental Health SaaS
AI Mental Health SaaSFeatured
Launched an AI-powered mental health platform with personalized wellness solutions, secure payments, and authentication. Onboarded 100+ users with 10+ paid subscribers.
ai saas
Next.jsJavaScriptOpenAIClerkStripeFirebase
users: 100+revenue: $1K+rating: 4.8/5
Custom CNN Pose Detection
Custom CNN Pose DetectionFeatured
Built a convolutional neural network to detect 5 specific bodybuilding poses. Fine-tuned hyperparameters and architecture to boost accuracy from 30% to 65%+.
ai/cv
PythonTensorFlowKerasMatplotlibOpenCV
accuracy: 65%+poses: 5improvement: 35%
Headstarter AI Apps
Headstarter AI AppsFeatured
Built and deployed 5 AI web applications using React, Next.js, Firebase, and OpenAI API. Led 4 engineers and scaled each app to 200+ users with feedback integration.
fullstack
ReactNext.jsFirebaseOpenAI APIClerkVercel
apps: 5users: 200+team: 4 engineers
KSU AI Club Website
KSU AI Club WebsiteFeatured
Build and Deployed a web-app for my universities AI club to display events, officers, sponsors, and AI blog from Alumni and current Undergraduate and Graduate Students
web dev
Next.jsTypescriptTailwindcssVercel
Music AI Prediction Model
Music AI Prediction Model
Pioneered a data AI model for predicting musical attributes (genre, mood, instrumentation) from MP3 files using Librosa. Designed pipeline extracting 15+ audio features.
ai/ml
PythonLibrosaHugging FaceUnslothMachine Learning
features: 15+accuracy: 78%files: 1000+
Mental Health NLP Pipeline
Mental Health NLP Pipeline
Built an NLP pipeline using 7 techniques including sentiment analysis and NER to detect emotional patterns in 1,000+ mental health app reviews.
research
PythonNLPSentiment AnalysisWeb ScrapingData Analysis
reviews: 1000+techniques: 7accuracy: 85%

Professional Journey

From a teen in retail for the summer to corporate software engineer, here's my journey.

Education
Academic Foundation

Kennesaw State University

Marietta, GA

Bachelor of Science in Computer Science

Expected Graduation May 2026

GPA: 3.75 / 4.0

President & Dean's List Candidate

Active Involvement

KSU AI ClubKSU Vietnamese Student Association
Software Development Intern
Milliman
Full-time
May 2026 – Aug 2026Chicago, IL

Developed and tested full-stack web application with C#, .NET, React, TypeScript, & SQL Server for Financial Risk Management.

Key Achievements

  • Iterated on dependency injected projects for REST API back-end infrastructure following SOLID/TDD principles.
  • Followed Agile Scrum SDLC using Git, CI/CD, and Azure DevOps

Technologies Used

C#.NETReactTypeScriptSQL ServerAzure DevOpsGit
Software Engineering Co-opCurrent
INPO (Institute of Nuclear Power Operations)
Full-time
May 2025 – PresentAtlanta, GA

Developed and tested full-stack web applications with C#, .NET, Angular, TypeScript, & T-SQL/SQL Server across 3 projects.

Key Achievements

  • Implemented dependency injection into REST API back-end infrastructure
  • Facilitated QA Automation, Regression Testing, & Manual Testing utilizing Ranorex, Postman, & Swagger
  • Worked on 3+ external applications in Azure DevOps

Technologies Used

C#.NETAngularTypeScriptSQL ServerAzure DevOpsGitRanorex
Software Tech Fellow
CodePath
Fellowship
Jan. 2025 – May 2025San Francisco, CA

Mentored 50+ students in HTML/CSS & Javascript, improving assignment completion by 25%.

Key Achievements

  • Provided hands-on guidance and debugging support for 8+ projects
  • Boosted student satisfaction to 90%+ by clearly explaining concepts
  • Offered consistent office hours and mentorship

Technologies Used

HTML/CSSJavaScriptTeachingMentorship
Software Engineering Intern
Aayats
Internship
Sep. 2024 – Dec. 2024Atlanta, GA

Pioneered a data AI model for predicting musical attributes from MP3 files using open-source library Librosa.

Key Achievements

  • Designed a pipeline extracting 15+ audio features (tempo, MFCCs)
  • Enabled datasets for Machine Learning tasks
  • Streamlined model customization with Hugging Face Transformers and Unsloth

Technologies Used

PythonLibrosaHugging FaceUnslothMachine Learning
Software Engineering Fellow
Headstarter AI
Fellowship
Jul. 2024 – Sept. 2024Long Island City, NY

Built and deployed 5 AI web apps using React, Next.js, Firebase, OpenAI API, Clerk API, and Vercel.

Key Achievements

  • Led 4 software engineers and scaled each app to 200+ users
  • Incorporated user feedback for continuous improvement
  • Mentored by Amazon, Bloomberg, and Capital One engineers on Agile, CI/CD, Git, and microservices

Technologies Used

ReactNext.jsFirebaseOpenAI APIClerkVercel
AI Undergraduate Researcher
Kennesaw State University
Research
Jul. 2024 – Dec. 2024Marietta, GA

Built an NLP pipeline using 7 techniques to detect emotional patterns in 1,000+ mental health app reviews.

Key Achievements

  • Implemented sentiment analysis, NER, and other NLP techniques
  • Automated review collection from iOS App Store with Python web scraper
  • Reduced manual labor by 90% through automation

Technologies Used

PythonNLPSentiment AnalysisWeb ScrapingData Analysis

Let's Connect

I'm always excited to discuss new opportunities, collaborate on projects, or just chat about technology and AI. Feel free to reach out!

Get In Touch

Email

concepting@protonmail.com

Location

Metro-Atlanta Area, GA

Follow Me

Quick Stats

3.79
GPA
5+
AI Projects
50+
Students Mentored
1000+
App Users
Send Me a Message
Have a project in mind or want to discuss opportunities? I'd love to hear from you!