John Hermiz
Staff Performance Engineer at Form Energy
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolJohn Hermiz is a Staff Performance Engineer with 11 years of cross-disciplinary experience building and validating complex hardware-software systems, from neural recording rigs to grid-scale battery prototypes. He combines deep skills in Python and MATLAB data analysis, signal processing, and machine learning with hands-on hardware expertise in ASIC testing, PCB design, and electrochemical battery testing. At Form Energy he drives KPI automation, root-cause analysis, and model validation for first-in-field battery systems, bridging lab, field, and data engineering teams. His PhD work yielded practical open-source acquisition tools and novel analyses that improved neural decoding performance, reflecting a habit of turning research into deployable systems. Comfortable shipping test automation, dashboards, and embedded control software, he thrives on cross-functional challenges that require both circuit-level and algorithmic fluency. He is motivated by climate-impact technologies and has a track record of translating high-dimensional data into actionable reliability improvements.
11 years of coding experience
6 years of employment as a software developer
University of California, San DiegoBachelor of Science (BS) Electrical Engineering, Bachelor of Science (BS) Electrical Engineering at University of Michigan
Github Skills (63)
child-process9
descriptor9
sequence8
neuroscience8
espn8
connectivity8
background-image8
computational-neuroscience7
abaqus7
electrophysiology7
python7
delta7
nwb7
data-acquisition6
scientific-computing6
Programming languages (3)
Github contributions (5)
jthermiz/nsds_lab_to_nwb
Dec 2020 - Mar 2022
Python package to convert NSDS Lab data to NWB files.
Contributions:4 PRs, 45 pushes, 22 branches in 1 year 3 months
pythonconda-forgecondanwbpython-package
TNEL-UCSD/nacq
Feb 2016 - Feb 2018
Contributions:11 pushes, 1 branch in 1 year 11 months
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