Kempy Kempisty
Senior Mechanical Engineer Tech V At Equinix (Formerly Verizon)
Miami, Florida, United States
Summary
🤩
Rockstar🎓
Top SchoolKempy Kempisty is a Senior Mechanical Engineer with 23 years of military facilities and shipboard engineering experience and over a decade maintaining critical infrastructure at a world-class Equinix megadatacenter in Miami. He brings a rare blend of disciplined, mission-driven leadership from his Senior Chief Petty Officer service and hands-on datacenter mechanical expertise, ensuring uptime in fast-paced, high-stakes environments. Known for meticulous troubleshooting, he reliably identifies and corrects systems malfunctions while recommending pragmatic repair and preventive actions. Kempy combines strong organizational and planning skills with technical depth in maintenance, repairs, and systems optimization to improve productivity and operational readiness. He contributes to technical knowledge-sharing as a data-focused collaborator on machine learning workshop materials, reflecting curiosity beyond traditional mechanical domains. Trustworthy, detail-oriented, and customer-focused, he consistently turns complex challenges into measurable results.
11 years of coding experience
10 years of employment as a software developer
Private Pilot,Instrument, Single engine airplane, Commercial Pilot, Multi-engine, Instrument Rated, Private Pilot,Instrument, Single engine airplane, Commercial Pilot, Multi-engine, Instrument Rated at Pelican Flight SchoolNone, General, None, General at Inter-American consultants
English, Spanish
Github Skills (9)
data-preprocessing10
machine-learning10
tensorflow10
python10
numpy10
jupyter-notebook9
data-visualisation9
data-visualization9
data-visualizations9
Programming languages (3)
Github contributions (5)
random-forests/tensorflow-workshop
Jun 2017 - Jun 2017
Slides and code from our TensorFlow workshop.
Role in this project:
Data Scientist
Data ScientistContributions:9 commits, 9 pushes in 2 days
Contributions summary:Kempy contributed to a TensorFlow workshop by adding and modifying notebooks related to downloading and preparing data for machine learning tasks. Their work involved importing necessary libraries, downloading data from Google Cloud Storage, and preprocessing it (normalization, one-hot encoding). They also visualized the data and prepared it for training and testing, indicating a focus on data preparation and exploration for a machine learning model.
pythonworkshopdeep-learningmachine-learningtensorflow
tensorflow/tfhub.dev
Oct 2020 - Jun 2021
Contributions:3 reviews, 27 commits, 3 PRs in 8 months
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