Burak Kaynak
Electro-Mechanical Supervisor at Simmons Knife & Saw
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolBurak Kaynak is an electro-mechanical supervisor based in the Greater Chicago Area with eight years of hands-on experience bridging electrical engineering and field service leadership. Trained as an electrical and electronics engineer, he has progressed from technical manager and field services engineer roles to supervising electro-mechanical operations, bringing practical expertise in industrial systems and maintenance. He pairs that industrial background with a personal aptitude for software and data-driven problem solving, contributing back-end code and domain decomposition algorithms to a well-regarded protein dynamics Python project using NumPy, SciPy and scikit-learn. Known for troubleshooting complex electromechanical systems in the field, he also brings an analytical mindset to automation and computational tasks that improve diagnostic accuracy. Colleagues rely on him for pragmatic solutions that blend hardware know-how with computational methods.
8 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Gaziantep Üniversitesi
İngilizce, Turkish
Github Skills (13)
scikit10
scikit-learn10
scipy10
python10
proteins10
numpy10
decomposition10
dynamics10
algorithms9
data-science9
data-structure9
algorithm9
data-structures9
Programming languages (3)
Github contributions (5)
prody/ProDy
Apr 2018 - May 2022
A Python Package for Protein Dynamics Analysis
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:73 commits, 14 PRs, 7 pushes in 4 years 1 month
Contributions summary:Burak contributed to a domain decomposition module for protein dynamics analysis, implementing algorithms for calculating spectroscopic similarity and domain decomposition. They developed Python code utilizing libraries such as NumPy, SciPy, and scikit-learn to process and analyze protein structure data. The user's work involved creating functions for domain decomposition and visualizing data, indicating a focus on the computational aspects of protein dynamics and potentially machine learning.
python-packageproteinpythondynamics
kaynakb/openmm
Dec 2023 - Mar 2024
OpenMM is a toolkit for molecular simulation using high performance GPU code.
Contributions:3 pushes in 2 months
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