Dustin Alandzes
Software Engineering Apprentice at HP
Texas, United States
Summary
👤
Senior🎓
Top SchoolDustin Alandzes is a software engineer and AWS-focused infrastructure practitioner based in Texas with 11 years of hands-on experience building healthcare and web systems. He has delivered integrations for e-prescribing and lab results at DrChrono and now architects serverless and containerized services using Python, Go, Docker, Terraform, and AWS at HP, where his cost-conscious right-sizing saved about $100/month. Comfortable across the stack, he’s built CI/CD with GitHub Actions, instrumented observability with CloudWatch, and automated deployments with Terraform. His GitHub work includes practical machine learning notebooks applying scikit-learn for model selection and evaluation, reflecting a data-minded approach to engineering problems. Colleagues describe him as a pragmatic implementer who balances reliability, cost, and automation to move features from prototype to production.
11 years of coding experience
9 years of employment as a software developer
University of Texas at San Antonio
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
scikit-learn10
machine-learning10
eval10
jupyter-notebook10
python10
evaluation10
scikit10
multiple-selection9
feature-selection9
linear-regression9
variable-selection9
pandas7
Programming languages (9)
Github contributions (5)
DustinAlandzes/machine-learning-with-python-cookbook-notes
Aug 2018 - Mar 2021
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
Role in this project:
Data Scientist
Data ScientistContributions:32 commits, 15 PRs, 27 pushes in 2 years 6 months
Contributions summary:Dustin's contributions primarily involve implementing and documenting machine learning concepts from Chris Albon's Machine Learning with Python Cookbook, specifically within the context of loading data, model evaluation, and model selection. The commits include code examples using scikit-learn, covering topics such as loading datasets, generating simulated datasets, model evaluation metrics (accuracy, precision, recall, and F1-score), and hyperparameter tuning using grid search and randomized search. The contributions clearly focus on applying machine learning techniques and providing practical examples.
ipynbpythoncookbookdata-sciencejupyter-notebook
DustinAlandzes/falcon-greater-than-fox-on-a-gb-rom
Mar 2016 - Sep 2019
simple gameboy rom i made in c, while learning about gb programming. just prints "falcon > fox" to the screen
Contributions:2 PRs, 17 pushes in 3 years 5 months
gameboyromfalconlibretrofox
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