Seth DeWhitt 🎷

Software Engineer Jazz Musician Seattle, WA

HeadshotOpening for Magdalena BayPicture of me!Presenting at a Jazz Education Network workshop
  • A

    Amazon Web Services (AWS)

    Software Development Engineer Intern

    • Incoming Summer 2026
  • T

    The Data Mine, Purdue University

    Research Lead & Teaching Assistant

    • Directing 11 student researchers in collaboration with the Practical AI Podcast (1.5M listens)
    • Implementing RAG chatbot trained on 349+ episodes with citation-backed responses
    • Designed scalable podcast generation platform integrating LLM-produced transcripts and voice clone models
  • C

    Chewy

    Software Engineer 1 Intern

    • Deployed scalable & containerized development environments with custom tooling for in-house model execution on AWS ECS/Fargate,reducing setup overhead by 80% and supporting 15+ engineers
    • Automated distributed system maintenance with AWS Lambda and Kinesis,lowering AWS expenses by 25%
    • Engineeredpersistent storage architecturelinking Okta SSO authentication with AWS EFS, ECS, and RDS to support secure stateful development sessions across container restarts
    • Designed and implemented Terraform-based infrastructure provisioning and Jenkins CI/CD pipelines,decreasing deployment times by 66%
  • T

    The Data Mine, Purdue University - Bayer Crop Sciences, Syngenta

    Undergraduate Data Science Researcher

    • Trained a LightGBM model on 500k+ rows to model climate change impact on corn yields at 91% accuracy
    • Optimized model performance through feature engineering and cross-validation, reducing RMSE by 24%
    • Implemented data preprocessing and QC pipelines for 100M+ data points, validated using mixed linear models

More About Me

I'm currently a Junior at Purdue University pursuing a B.S. in Computer Science with a concentration in Software Engineering. When I'm not coding, I'm likely practicing saxophone, arranging jazz music, or experimenting in the kitchen.

This past summer, I was a Software Engineering Intern at Chewy, where I pioneered a powerful, yet scalable service to provide data scientists with development environments loaded with custom tooling and essential libraries, reducing expenses spent on dry-running optimization/machine learning models on AWS during the development process.

Currently, I'm working on a browser extension to help users of all ages detect AI use in their social media feeds, helping them identify misinformation in an increasingly AI-driven world.

For more Q&A, start a chat or contact me!

Skills

Center logo
GitHub
Linux
Python
Node.js
Git
Docker
Bash
Next.js
React
TypeScript
PostgreSQL
TailwindCSS
Vite
Java
AWS
Jenkins
FastAPI
MongoDB
Supabase

Featured Projects

Here are some of my favorite projects :)

ControVirtual

ControVirtual

Streamlined and upscaled use of AMD SO-101 Robot Arms for industry experts via remote use of a Meta Quest S3, voice & natural language processing, and a Vision-Language-Action (VLA) model. Honorable Mention for "Best Use of AMD Tech" at StarkHacks 2026.

PythonC#OpenCVPyTorchFlaskLeRobotMeta Quest S3AMD SO-101 Robot Arm
SlopMop

SlopMop

Chrome/Firefox browser extension that detects AI-generated content in social media feeds

PythonViteTypeScriptReactAWSPyTorchFirebase
Evallm

Evallm

Web platform to assess performance of large language models

Next.jsVercelTypeScriptReactTailwindOAuth2MongoDBGroq API

Blog

A peek into my life — inside and outside of software development

Current Favorite Songs

Certified jammers