Bryan Shook

About Me

Portrait

Hi, I'm Bryan. I'm a CS student at Georgia Tech concentrating in Intelligence and Systems/Architecture, expected to graduate in May 2026. Starting August 2026, I will return as an MSCS student specializing in Machine Learning.

I’m a helluva engineer with experience in Machine Learning, Full-stack development, and systems design. As an undergraduate TA, I’ve had the pleasure of teaching many students, allowing myself to grow as a mentor and collaborator.

I'm currently focused on improving my technical skills within the Machine Learning field by engaging in future research and working on independent projects.

Projects

Interpretable Music Recommendations video thumbnail
2026

Interpretable Music Recommendations

Built a music recommendation system on the Million Song Dataset with a focus on interpretability, helping users understand why songs were recommended. Personally led the UMAP dimensionality reduction component used to visualize and explore the song embedding space.

Machine LearningRecommender SystemsUMAPData VisualizationPython
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ROC curve
2025

Lung Cancer CT Scan Classification

Together with a team, utilized the LIDC-IDRI dataset (Lung Image Database Consortium and Image Database Resource Initiative) which contains thoracic CT scans from over 1000 patients to create and compare classification models to aid radiologists.

Machine LearningComputer VisionPandasNumpyPyTorchSklearn
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Coupon Flyer
2025

CoupCom

Engineered a B2B2C coupon ecosystem in a team-based Capstone project allowing local businesses to cross-promote via dynamic QR codes. Our team built a randomized distribution engine that digitzes physical foot traffic into a mobile coupon wallet, reducing local market costs compared to traditional print media.

Full-stackReactPostgreSQLEC2FirebaseFlask
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Experience

Amazon

May 2026 – July 2026
SDE Intern Irvine, CA
  • Architected and implemented an end-to-end ECS Fargate microservice that transforms a single customer intent into a curated wishlist by orchestrating data retrieval, natural-language entity resolution, product recommendation, and internal wishlist APIs.
  • Owned the project from architecture through Alexa shopping proof of concept, driving alignment across partner teams toward customer-facing integration.

Amazon Personalization

May 2025 – August 2025
Software Development Engineer Intern Irvine, CA
  • Designed a configurable, bulk data ingestion pipeline that reduced the time for developers to onboard new ML model features from 6 weeks to one day.
  • Developed a low-latency online featurization component that allows developers to configure which features to use during inference.
  • Utilized AWS Glue to perform offline ETL.
  • Conducted feature engineering experiments by introducing a 158% increase in features, performed feature importance analysis and distribution studies, and evaluated model performance through key metrics.

Amazon Search

May 2024 – August 2024
Software Development Engineer Intern Palo Alto, CA
  • Leveraged AWS and Amazon internal technologies to improve developer and customer experience on a Search Internal service.
  • Provided continuous integration and continuous development by facilitating automatic deployments to production upon code changes, improving code change to deployment time from 30 minutes to 2 minutes.
  • Migrated front-end to a standardized internal hosting platform which reduced overhead and development time.
  • Rewrote legacy front-end to utilize modern design systems and recommended React and CSS practices.
  • Utilized AWS CDK to define cloud infrastructure such as S3, Dynamo DB, and API Gateway.

Georgia Tech School of Computational Science and Engineering

August 2026 – Present
Graduate Teaching Assistant Atlanta, GA
  • Graduate Teaching Assistant for CSE6242 Data and Visual Analytics (Fall 2026).

Georgia Institute of Technology, College of Computing

January 2025 – December 2025
Undergraduate Teaching Assistant – Computer Organization & Programming Atlanta, GA
  • Directly led two weekly labs for 50 students involving lecture topics, software setup, and real-time programming demonstrations.
  • Supported 800 students by holding 3 hours of weekly office hours and answering forum posts.