Chase Coleman
Back End Developer at Ardmore Logistics
Cleveland, Ohio, United States
Summary
🤩
Rockstar🎓
Top SchoolChase Coleman is a backend developer based in Cleveland, Ohio with 13 years of experience building robust server-side systems and contributing to open-source scientific and blockchain projects. At Ardmore Logistics he focuses on backend engineering while his open-source work includes Solidity smart-contract development for the UMA Protocol and numerical algorithm implementations in QuantEcon (Julia), showing both fintech/blockchain and computational-economics breadth. He has also improved developer-facing documentation in the QuantEcon Python library, signaling an emphasis on maintainability and clear technical communication. A longtime ice hockey referee, Chase brings steady decision-making and discipline from that role into collaborative engineering contexts.
13 years of coding experience
Cuyahoga Community CollegeThe Ohio State UniversityHigh School Degree, High School Degree at padua
English
Github Skills (13)
smart-contracts10
mathematical10
solidity10
f10
numerical-methods10
ethereum10
linear-algebra10
modeling10
documentation10
julia10
python8
monorepo7
truffle7
Programming languages (10)
Github contributions (5)
QuantEcon/QuantEcon.jl
Aug 2014 - Oct 2018
Julia implementation of QuantEcon routines
Role in this project:
Back-end Developer
Back-end DeveloperContributions:79 commits, 16 PRs, 37 pushes in 4 years 2 months
Contributions summary:Chase primarily contributed to the implementation of numerical methods and mathematical routines within the `quantecon.jl` repository, which is a Julia implementation of QuantEcon routines. Their work included adding functions such as `solve_discrete_lyapunov` and `solve_discrete_riccati`, which are essential for solving linear systems. Additionally, they refactored and reorganized files, enhancing the structure and maintainability of the codebase, and updated the module file to reflect the added functions. The contributions focus on building computational tools for economic modeling.
econometricsroutineseconomicsjulia
QuantEcon/QuantEcon.py
Jul 2014 - Jan 2016
A community based Python library for quantitative economics
Role in this project:Technical Writer
Technical WriterContributions:104 commits, 2 PRs, 4 pushes in 1 year 6 months
Contributions summary:Chase's commits primarily focus on documentation updates within the `quantecon/quantecon.py` repository. The changes include updating and improving the documentation within the `linproc.py`, `ifp.py`, `lqcontrol.py`, and `lss.py` files. The documentation updates involve improving clarity, formatting, and consistency of documentation within the codebase, demonstrating a focus on enhancing the readability and understandability of the project.
python-librarycommunity-basedpythondata-sciencemachine-learning
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