Deep Learning Fundamentals
Fundamentals of deep learning, including transformer implementation in Pytorch, training and inference, performance analysis, hyperparameter tuning, and architectural variations (ablations).
Portfolio Site
juliusm.com
Building AI systems that scale.
Welcome
I'm a researcher and engineer who loves the entire lifecycle of an AI product—from building and training sequence models from scratch, to deploying them via serverless cloud architectures, to ensuring they drive real business value.
Check out my project writeups to see how I break down complex deep learning topics, or if you have a role that might be a good fit, head over to the Resume Generator with your job description and let my serverless pipeline build a custom resume for you!
Projects
Resume Generator
A serverless resume generator utilizing the Anthropic messages API to create a structured markdown/html output that is rendered into a polished PDF resume, tailored to the input job description.