Andy Smith
Retired at Retired. Formerly the President of Comfort Keepers Home Care
Miami, Florida, United States
Summary
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Rockstar🎓
Top SchoolAndy Smith is a seasoned technologist and entrepreneur with 12 years of hands-on software and ML engineering experience and a long career in business ownership and HR consulting. Based in Miami, he co-owned and operated an award-winning Comfort Keepers franchise for two decades, bringing operational leadership and people-centric management to senior care. On the technical side he has contributed to major open-source projects—fixing caching and artifact validation issues in TensorFlow TFX and improving automated hyperparameter tuning workflows in an Auto Tune Models project—demonstrating care for production ML pipelines. He also improved developer tooling and code quality in pipenv and extended econometric modeling tooling in a DSGE.jl codebase, reflecting breadth from backend systems to time-series economics. His profile combines practical product delivery, thoughtful code hygiene, and a knack for translating complex technical changes into reliable, test-covered improvements. An often-overlooked strength is his ability to bridge technical rigor with empathetic leadership learned running a service-driven business.
12 years of coding experience
M.S. Degree and B.A. Degree, Computer Science, M.S. Degree and B.A. Degree, Computer Science at University of California, Los Angeles
Stackoverflow
4,309reputation
957kreached
87answers
14questions
authentication
top-5%
airflow
top-5%
tmux
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if-statement
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shell
top-5%
Github Skills (36)
python10
testing10
packaging10
machine-learning10
environment-variables10
economics10
model-building10
bayesian10
tensorflow10
statistical-models10
pip10
hyperparameter-tuning10
bayesian-inference10
authentication9
bayesian-statistics9
Programming languages (13)
Github contributions (5)
FRBNY-DSGE/DSGE.jl
Jun 2015 - Jun 2016
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:441 commits, 1 PR, 12 pushes in 1 year
Contributions summary:Andy's commits primarily focused on refactoring and extending the `Param` type within the DSGE model, introducing an optional description field and improving the promotion rules for more general use. Their work includes adding and modifying testing infrastructure for the codebase, along with refactoring distribution functionalities into a new `DistributionsExt` module. Furthermore, the user's commits reflect their involvement with core model components related to economics and time-series analysis.
solveequilibriumdynamical-systemsbayesian-inferencedsge
HDI-Project/ATM
Feb 2018 - Feb 2019
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Role in this project:ML Engineer
ML EngineerContributions:19 commits, 8 PRs, 7 pushes in 11 months
Contributions summary:Andy primarily contributed to the automated machine learning system, focusing on improvements related to the `btb` library for automated hyperparameter tuning and selection. Their commits involved updating the `btb` library version, integrating new selector options, and adapting the codebase to the latest `btb` API. They also implemented utilities for better selector integration and made relevant test updates and fixes.
tenantautomated-machinemodel-selectionautomated-machine-learningmachine-learning
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