Jonathan Boarman
CEO at Sparkfish - Data and AI Strategy for Mid-Market Portcos
Addison, Texas, United States
Summary
👤
Senior🎓
Top SchoolJonathan Boarman is a data and AI-focused CEO with 14+ years of hands-on experience building teams and products that turn siloed numbers into trusted, decision-ready intelligence. He founded Sparkfish in 2017 to deliver pod-based data engineering, reporting, and practical AI solutions for private equity, healthcare, and insurance clients, achieving near-perfect client retention. Earlier roles driving multi-million-dollar programs and integrations across credit bureaus, banking, payroll, and government systems give him deep experience with complex, regulated data flows. Jonathan combines technical depth—from early web and SaaS engineering to published work and open-source tooling—with a business-first mindset that prioritizes measurable outcomes over flashy pilots. Unusually for a CEO, he also thinks like a practitioner and once translated geoscience visualization work into production-quality tooling, reflecting a long-running curiosity for solving messy, domain-specific problems.
14 years of coding experience
23 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at The University of Texas at DallasArt and Design Studies, Computer Science, Art and Design Studies, Computer Science at University of North Texas
Github Skills (200)
image-processing10
testing10
windows10
rspec10
dapper10
binarization10
javascript10
rendering10
linux10
dotnet10
training-data10
denoising10
sql10
bdd10
computer-vision10
Programming languages (14)
Github contributions (5)
sparkfish/pdf417decoder
Mar 2021 - Jul 2022
PDF417 Decoder available in Python
Contributions:3 commits, 5 PRs, 5 pushes in 1 year 3 months
pdfpythonpdf417pdf417readerpdf417decoder
sparkfish/shabby-pages
Feb 2022 - Feb 2023
ShabbyPages is a state-of-the-art corpus of born-digital document images with both ground truth and distorted versions appropriate for use in training models to reverse distortions and recover to original denoised documents.
Contributions:22 commits, 16 PRs, 51 pushes in 1 year
truthstate-of-the-arttrainingdistortionsground
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