Matt Barta
Staff Software Engineer at Figma
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMatt Barta is a Staff Software Engineer based in Seattle with 11 years of experience building large-scale retrieval, ranking, and ML systems for search and AI applications. He has led technical efforts at Dropbox and startups to deploy low-latency model inference, train neural ranking models, and architect vector search capable of operating over a trillion documents. As a founder at DeployQL he built a C++-based vector database and end-to-end indexing pipelines for PDFs and images, blending product-led engineering with deep ML expertise. His background spans production ML, systems engineering, and monitoring—shipping ONNX inference at 10k+ RPS and reducing latency by 30%—and he pairs an MS in Statistics with hands-on work in C++, Python, PyTorch, Java, and TypeScript. Notably, he combines search-quality metrics and multi-vector scoring research into pragmatic deployments that improve real-world relevance for enterprise customers.
11 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.) Statistics, Master of Science (M.S.) Statistics at Loyola University ChicagoBachelors Advertising, Bachelors Advertising at Grand Valley State University
Github Skills (45)
convolutional-neural-networks10
classification10
recurrent-neural-networks10
visdom10
baseline9
keras9
multiclass-classification9
nlp8
notepad8
machine-learning8
pytorch8
transformers7
tensorflow7
bert7
natural-language-processing7
Programming languages (6)
Github contributions (5)
DeployQL/LintDB
Apr 2024 - Sep 2024
Vector Database with support for late interaction and token level embeddings.
Contributions:24 releases, 47 PRs, 175 pushes in 5 months
colbertragvector-databasevector-search
mtbarta/monocorpus
May 2018 - Mar 2019
A notepad for software and machine learning
Contributions:99 commits, 19 PRs, 88 pushes in 9 months
machine-learningnotepad
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