Jim Crist
General Manager at Prestige plumbing and hvac
Salisbury, Maryland, United States
Summary
🤩
Rockstar🎓
Top SchoolJim Crist is a results-driven General Manager and HVAC expert with 12 years of leadership experience and 23 years in the trade, currently overseeing operations, P&L, staffing, and customer satisfaction at Prestige Plumbing and HVAC. He blends hands-on technical depth—from blueprint reading and commercial project estimating to sheet metal integration and commissioning—with proven skills in team development and business growth. A former Navy Hull Maintenance Tech and federal police officer, he brings disciplined project execution and safety-focused management to complex construction and service environments. Outside the trade he contributes to major open-source data and ML projects (Dask, Numba, Apache Arrow, cuML), demonstrating strong backend engineering chops and an appetite for scalable data systems. Known for scouting and mentoring talent, he pairs practical field experience with a knack for process improvements that stabilize workload and boost retention.
12 years of coding experience
criminal justice Police Science, criminal justice Police Science at Harrisburg Area Community College
Stackoverflow
2,425reputation
541kreached
37answers
6questions
statistics
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Github Skills (88)
programming-language10
python10
testing10
distributed-computing10
apache-arrow10
regression10
mat10
automation10
orc10
rewrite-rules10
backend10
matrix10
pandas10
machine-learning-algorithms10
enums10
Programming languages (21)
Github contributions (5)
dask/dask
Mar 2015 - Aug 2022
Parallel computing with task scheduling
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:168 reviews, 1088 PRs, 639 pushes in 7 years 5 months
Contributions summary:Jim made significant contributions to the Dask project, focusing on enhancing the computational capabilities of the library. They implemented syntactic rewriting and added a specialized rule set to the core functionality. Their work included modifications to the reduction and indexing routines, and adding support for a dask array conditional.
pythonschedulingparallelnumpydask
holoviz/datashader
Dec 2015 - May 2016
Quickly and accurately render even the largest data.
Role in this project:Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:123 commits, 61 PRs, 45 pushes in 5 months
Contributions summary:Jim primarily worked on developing the core infrastructure for a data visualization pipeline. Their contributions include creating an expression system with glyph, canvas, and bypixel expression types, and a basic compiler for lowering blaze expressions to Numba code. They also contributed to reductions, implementing count, sum, min, max, and other aggregation functions, alongside functions to handle missing data and improve type handling. They integrated a Pandas backend, and optimized and expanded aggregation functionality, focusing on data processing and analytical capabilities.
renderrasterizationdata-visualizationsdatashaderholoviz
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