Tyler Ganter
Senior AI Engineer at ContractSafe
Albuquerque, New Mexico, United States
Summary
🤩
Rockstar🎓
Top SchoolTyler Ganter is a Senior AI Engineer with 11 years of experience building production-ready ML and GenAI platforms, currently leading GenAI delivery at a national lab and now at ContractSafe. He founded and scaled the ATLAS team at Sandia, deploying on-prem LLM+RAG services used by 1,000+ end users and 300+ developers, and built secure, classified LLM applications on aggressive timelines. Tyler combines research roots in signal processing and uncertainty quantification with hands-on engineering—contributing core backend code to the open-source FiftyOne dataset toolkit and designing RAG backends, containerized microservices, and bespoke access-control integrations. He’s known for translating advanced AI techniques into operational systems, pioneering cross-organizational funding models, and teaching production ML practices to large cohorts, which speaks to both technical depth and organizational impact.
11 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.) Electrical Engineering, Master of Science (M.S.) Electrical Engineering at University of WashingtonBachelor of Science (B.S.) Electrical Electronics and Communications Engineering, Bachelor of Science (B.S.) Electrical Electronics and Communications Engineering at University at Buffalo
English, Italian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
data-structures10
object-oriented-programming10
mongodb10
python10
data-structure10
mongodb-database10
data-analysis9
testing9
Programming languages (4)
Github contributions (5)
voxel51/fiftyone
Apr 2020 - Aug 2020
Refine high-quality datasets and visual AI models
Role in this project:
Backend Developer
Backend DeveloperContributions:1015 commits, 12 PRs, 40 pushes in 4 months
Contributions summary:Tyler's contributions focused on the development of core data management and analysis tools within the FiftyOne platform. This includes work on the `Sample` and `Dataset` classes, including additions for serialization and the implementation of `select_fields()` and `filter_detections()` methods, indicating a focus on core data structures. The user has also focused on adding functions that support the user guide.
pytorchpythonvisiondata-sciencedeep-learning
tylerganter/tylerganter.github.io
Nov 2018 - Feb 2025
Contributions:48 pushes, 6 branches in 6 years 3 months
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