Computer Engineer & Data Engineer
// about.js
const about = {
name: 'Aidan Ehrenhalt',
based: 'Atlanta, GA',
role: 'Computer Engineer & Data Engineer',
education: 'Georgia Institute of Technology, B.S. Computer Engineering, Minor in Applications of AI/ML (Dec 2026)',
languages: [
'Python',
'SQL',
'Java',
'JavaScript',
'C/C++',
'MIPS Assembly',
'HTML',
'CSS',
'MATLAB',
],
cloud: [
'Google Cloud (BigQuery, Vertex AI, IAM)',
'AWS (S3, Lambda, DynamoDB, IAM)',
'Docker',
],
other: [
'Google Marketing Platform',
'Google Ads API',
'Google Cloud APIs',
'OAuth2',
'ETL Pipelines',
],
available: true,
};
// Computer Engineering student at Georgia Tech
// building systems at the hardware-software boundary.
// Data Engineering, Cloud Infrastructure, GPU Graphics.
/**
* @section [01] PROJECTS
* Selected work 2024–2026
*/
PBR shaders in Unity using Cook-Torrance BRDFs and microfacet models (Beckmann, GGX). Custom vertex and fragment shaders for real-time lighting, texturing, and post-processing. Explored deferred vs. forward rendering and optimized through GPU parallelization.
Production-ready full-stack cloud application with photo search and tagging. REST API via API Gateway integrating serverless Lambda, distributed SQL/NoSQL storage, and EC2-deployed Docker containers.
Open-source federated wiki platform enabling distributed article hosting and cross-database collaboration. Built with a 5-member agile team using QA testing, iterative development, and GitHub workflows.
Spotify Wrapped-style web app with custom API parsing and front-end visualization — no Spotipy library. Deployed live with full QA, OAuth2, production debugging, and agile version control.
/**
* @section [02] EXPERIENCE
* Professional roles 2022–2026
*/
Data Science / ML Engineer Intern
Built a computer-vision roofing takeoff POC that identifies roof facets from plans and estimates square footage. Set up a human-in-the-loop annotation and retraining workflow, and fine-tuned models from 51.6% to 93.3% IoU with 6.68% area error.
Image-to-Product Senior Capstone, Intern
Built a Python ingestion pipeline to source and match images for a 2M+ industrial product catalog. Trained a PyTorch CNN with fused visual/text ranking, backed by ElasticSearch/MinIO and a React review app achieving 90%+ precision on approved images.
Data Engineer Co-op
Built scalable ETL pipelines in BigQuery and developed a Seasonal Analogue ML Model using TensorFlow. Deployed models as Vertex AI Endpoints with automated workflows via Vertex AI Python SDK.
Analytics Engineer Intern
Designed ETL pipelines integrating Google Ads with BigQuery via GMP APIs. Implemented GTM tracking pixels for a Fortune 500 client and engineered data transformations in Google Apps Script.
Analytics Engineer Intern
Conducted UA to GA4 audits for four clients including a Fortune 500 company. Implemented tracking tags using BrainDo's custom GTM framework and researched an analytics migration service.
Researcher / Engineer
Near-memory computing research team. Built a CMake/C++ visualization and micro-benchmark of the Lucata Pathfinder architecture, comparing performance against x86 using pointer chasing.
// contact.js
async function sendMessage(data) {
// Or reach out directly
email: '[email protected]'
github: 'github.com/aidanehrenhalt'