Lucas Koontz
Backend Engineer at MindsDB
Louisville Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolLucas Koontz is a backend engineer with 11 years of software development experience, currently contributing to MindsDB's AI query platform and previously building backend systems and metagame libraries for Wildlife Studios and platform tooling at CargoX. He specializes in Golang, Ruby/Rails, Python, AWS, and Docker, with hands-on DevOps and observability work (Sentry, OpenTelemetry) that improves reliability across complex services. Lucas combines academic rigor—published research on autonomous agents and a Java simulator using formal verification—with practical product delivery, including an autonomous-vehicle-style agent prototype. Colleagues rely on him for cross-team solutions, efficient onboarding, and API design that speeds time-to-market. Outside work he’s an avid reader of speculative fiction and brings a curious, collaborative mindset to engineering challenges.
11 years of coding experience
8 years of employment as a software developer
One Year Transfer Student Computer Science, One Year Transfer Student Computer Science at New York Institute of TechnologyTechnician Information Technology, Technician Information Technology at Centro Paula SouzaBachelor's degree Computer Science, Bachelor's degree Computer Science at Federal University of Technology - Parana
Portuguese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
sentry10
python10
databases10
ai10
opentelemetry10
backend10
database10
postgresql9
cicd9
docker8
api8
mlops8
kubernetes-pods8
dockers8
kubernetes8
Programming languages (8)
Github contributions (5)
mindsdb/mindsdb
Oct 2023 - Apr 2025
AGI's query engine - Platform for building AI that can learn and answer questions over federated data.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:2 releases, 66 reviews, 55 PRs in 1 year 5 months
Contributions summary:Lucas focused on updating and integrating various services and dependencies within the MindsDB platform. Their contributions included updating references to sample databases across multiple testing environments, adding monitoring and instrumentation via Sentry and OpenTelemetry, and refactoring the Langfuse client for improved efficiency. The user also implemented configurations and added parameters for enhanced agent functionality, demonstrating a strong understanding of backend systems and infrastructure. Furthermore, they added a local Langfuse instance, demonstrating their hands-on experience in setting up and managing development environments.
localaimachine-learning-databasesolacesinglestoreexplainable-ml
lucas-koontz/DeliveryPartner
Feb 2021 - Aug 2023
API to search nearest partner to a location.
Contributions:1 release, 2 PRs, 26 pushes in 2 years 7 months
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