Scott Campit
Founder at Torchstack
Sacramento, California, United States
Summary
👤
Senior🎓
Top SchoolScott Campit is a founder and AI-focused technology leader with a decade of experience turning research-grade models into production AI products for startups and SMBs. He founded Torchstack to deliver end-to-end AI productization, fractional CTO/CAIO services, and rapid MVP-to-production roadmaps across healthcare, biotech, cybersecurity, real estate, and logistics. Previously as Head of Technology at Miraei AI and Co-founder/CTO at Couro, he built enterprise-grade data and ML infrastructure for clinical trial intelligence and real-time motion-analysis platforms, respectively, blending domain research with scalable engineering. His background includes NIH/DOE-funded biomedical AI research and measurable commercial impact—driving over $10M in revenue uplift through AI-driven risk-adjustment work. Scott is based in Sacramento and known for bridging deep scientific rigor with pragmatic product delivery, often stepping into early-stage teams to hire, standardize practices, and de-risk architecture under tight timelines.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Michigan - Rackham Graduate SchoolBachelors of Science (B.S.), Bachelors of Science (B.S.) at San Francisco State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (54)
genes10
metabolic-models10
bioinformatics9
modeling9
random-forest9
scale8
anaconda8
language-server-protocol7
ide7
machine-learning7
transition7
development-environment7
constraint7
flask6
pyqt6
Programming languages (6)
Github contributions (5)
sriram-lab/single-cell-neutrophil-flux-analysis
Feb 2021 - Jan 2023
Analysis of neutrophil metabolic activity during metastasis using single-cell RNASeq and COnstraint-Based Reconstruction and Analysis.
Contributions:2 releases, 14 PRs, 18 pushes in 1 year 10 months
reconstructionrnaseqconstraintbioinformaticssingle-cell
sriram-lab/DiffRxnSensitivity
Apr 2019 - Jan 2020
A Python and MATLAB based toolkit for analyzing and visualizing time-course metabolomics data and metabolic flux.
Contributions:34 PRs, 73 pushes, 5 branches in 9 months
analyzingpythonmatlabvisualizingflux
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