Tristan Nixon
Senior Specialist Solutions Architect at Databricks
Aliso Viejo, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTristan Nixon is a Senior Specialist Solutions Architect with 10+ years building and scaling end-to-end AI systems across industry and research, currently designing large-scale AI/ML solutions at Databricks. He blends data engineering, ML engineering, and classical analytics to deliver composite systems that use Spark and Ray for distributed training and inference, and has hands-on MLOps experience adapting training infrastructure for high-profile projects like Databricks’ Dolly. Comfortable translating between academic research, R&D and production engineering, he has authored research and patents in group communication analysis and continues to pursue small-reasoning model work begun during Stanford AI coursework. Based in Aliso Viejo, CA, he pairs a practical, systems-first approach with an inveterate tinkerer’s curiosity forged at Databricks, Anyscale, Accenture and academic labs.
9 years of coding experience
17 years of employment as a software developer
Professional Certificate Artificial Intelligence, Professional Certificate Artificial Intelligence at Stanford University School of EngineeringCertificate Computational Finance, Certificate Computational Finance at UW Professional & Continuing EducationBachelor of Science (B.Sc.) Cognitive Science and Artificial Intelligence, Bachelor of Science (B.Sc.) Cognitive Science and Artificial Intelligence at University of Toronto - University College
English, French, German
Stackoverflow
31reputation
6kreached
2answers
0questions
Github Skills (14)
cuda10
pytorch10
databricks10
distributed-training10
mlops10
gpu10
python10
gpt9
chatbot7
rdd6
apache-spark6
docker6
pyspark6
dockers6
Programming languages (6)
Github contributions (5)
databrickslabs/dolly
May 2023 - Jun 2023
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Role in this project:
MLOps Engineer
MLOps EngineerContributions:25 reviews, 3 PRs, 24 comments in 20 days
Contributions summary:Tristan primarily focused on configuring and optimizing the training environment for the Dolly large language model. Their contributions include modifying the `train_dolly.py` script to support different GPU configurations, specifically for A10 and A100 GPUs, and updating dependencies. They also addressed issues related to the underlying Ubuntu release versions and ensured the correct installation of CUDA libraries for efficient GPU utilization during model training. The user has been central to adapting the infrastructure for Databricks' Dolly.
chatbotdatabricksdollygpt
tnixon/spark
Apr 2017 - Mar 2022
Mirror of Apache Spark
Contributions:5 pushes, 1 branch in 4 years 11 months
spark-mlapachebig-datasparkscala
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