Alex Thaman

Chief Technology Officer at Tola Capital

Greater Seattle Area United States
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Summary

🤩
Rockstar
🎓
Top School
Alex Thaman is a seasoned technology leader and current CTO with 18 years in software development and a decade of productizing AI, focused on data, analytics, and autonomous agents. He builds clarity from ambiguity—turning ill-defined AI problems into focused teams, long-term architectures, and commercial products that span synthetic data, computer vision, and geospatial intelligence. Alex has scaled organizations to 25 engineers, driven >$1M sales pipelines from zero, and served cross-functionally on GTM, sales enablement, and executive strategy. Technically hands-on across C#, Python, TypeScript/React, and C++, he has shipped synthesis-driven tooling and data pipelines at Unity, Scale AI, and Microsoft at production scale. Now tackling the cyber talent shortage at Andesite while advising on AI strategy for investors, he blends operator experience with research-aware engineering judgment. A Purdue-educated math and CS graduate, he’s notable for turning synthetic data research into pragmatic, revenue-generating products.
code6 years of coding experience
job19 years of employment as a software developer
bookLawrence North High School
bookBachelor of Science (BS) Mathematics and Computer Science, Bachelor of Science (BS) Mathematics and Computer Science at Purdue University
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Github Skills (15)

synthetic-data10
synthetic-dataset-generation10
pose-estimation9
segmentation9
object-detection9
computer-vision9
deep-learning8
machine-learning8
validation6
perception6
dataset-generation5
synthetic4
pytorch3
datasets3
simulation2

Programming languages (1)

C#

Github contributions (5)

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Unity-Technologies/SynthDet

Sep 2020 - Oct 2020

SynthDet - An end-to-end object detection pipeline using synthetic data
Contributions:8 reviews, 5 commits, 12 PRs in 1 month
object-detectionsynthetic-datadetectioncomputer-visiondeep-learning
Unity Simulation Sample project for outdoor smart camera usecase
Contributions:1 review in 1 day
simulation
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