Charles Drotar
Issaquah, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolCharles Drotar is a seasoned software engineer and engineering leader with 10 years of experience, currently a Senior Software Engineering Manager at Microsoft driving engineering and AI excellence within Copilot Studio. He blends cloud and IoT experience with infrastructure work for AI products, moving between hands‑on senior engineering roles and leadership to deliver scalable, production systems. Charles holds a MS in Computer Science from the University of Washington and a BS in Electrical Engineering, giving him cross‑domain fluency from hardware to cloud-native services. An active open-source contributor, he has improved pmdarima’s backend and MLOps workflows—adding time‑series decomposition and deployment fixes—demonstrating a practical interest in statistical tooling as well as infrastructure. Based in Issaquah, Washington, he pairs curiosity-driven exploration with deliberate delivery of complex engineering initiatives.
10 years of coding experience
11 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of WashingtonBachelor of Science (B.S.), Electrical Engineering, Bachelor of Science (B.S.), Electrical Engineering at University of North Texas
English
Stackoverflow
121reputation
4kreached
5answers
0questions
Github Skills (16)
dataanalysis10
forecasting10
timeseries10
machine-learning10
time-series10
forecast10
python10
data-analysis10
testing9
ci-cd8
html6
markdown6
raspberry-pi6
linux6
csv6
Programming languages (2)
Github contributions (5)
alkaline-ml/pmdarima
Jul 2017 - Jan 2021
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:2 reviews, 78 commits, 29 PRs in 3 years 7 months
Contributions summary:Charles primarily focused on enhancements and maintenance related to the project's core functionality and deployment. They changed the project's setup to avoid naming collisions. The user added functionality for plot diagnostics and testing, as well as implementing fixes to the build process. They also added support for time series decomposition which points towards the users focus on expanding the statistical capabilities of the library.
forecastingfillpythontime-series-analysisvoid
charlesdrotar/accessiplot
Feb 2023 - Mar 2023
A python library to enhance the accessibility of matplotlib plots
Contributions:48 PRs, 119 pushes, 49 branches in 1 month
accessibilitypython
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