Jason Maldonis
Applied Engineer Team Lead at Meraki Analytics
Madison, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolJason Maldonis is an applied engineering leader with 13 years of experience bridging software, product development, and research-driven problem solving. Currently leading an Applied Engineering team at Deepgram after consulting on connected IoT products at i3, he blends hands-on implementation with product strategy questions about competitive advantage and customer impact. He holds a PhD in Materials Science from UW–Madison where he applied simulations and machine learning to understand metallic glass structure—an interdisciplinary background that informs his pragmatic, data-informed approach to engineering. A startup-minded technologist, he co-founded Meraki Analytics to build open-source tooling for the esports community and continues freelance product work that spans hardware-connected products to analytics. Known for pushing internal practices and balancing tradeoffs in product teams, he’s equally comfortable translating atomic-scale insights into shipping user-facing features. Outside work he sails, volunteers with Madison startup groups, and publishes personal projects on GitHub that showcase his curiosity across systems, data, and product.
13 years of coding experience
9 years of employment as a software developer
Bachelor of Arts, Physics, Mathematics, Bachelor of Arts, Physics, Mathematics at Coe CollegeDoctor of Philosophy - PhD, Materials Science and Engineering, Doctor of Philosophy - PhD, Materials Science and Engineering at University of Wisconsin-Madison
Stackoverflow
307reputation
11kreached
2answers
7questions
Github Skills (86)
python10
text-to-speech10
riot-games-api10
markdown10
voice10
api10
ai10
api-proxy10
mp310
static-data10
python-requests10
obsidian10
data-analysis10
speech-to-text10
audio-files10
Programming languages (11)
Github contributions (5)
meraki-analytics/lolstaticdata
Feb 2020 - Dec 2022
Accurate League of Legends static data for champions and items
Contributions:1 review, 99 commits, 54 PRs in 2 years 10 months
static-data
paul-voyles/motifextraction
Dec 2018 - Apr 2021
Analysis of disordered materials structure via machine learning
Contributions:13 commits, 9 pushes, 1 branch in 2 years 4 months
machine-learning
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