Ryan Tonucci
@ryantonucci
I build production AI data platforms, streaming pipelines, and lakehouse infrastructure at scale.
What I'm looking for
At Samsara, I architect streaming telemetry and GenAI data platforms processing 4B+ events daily from 2.5M+ assets. I built the retrieval platform for the fleet assistant, improving retrieval hit rate from 62% to 89% while reducing embedding compute by about 80%.
I’ve built ML-ready data systems across Samsara, Optum, and Databricks, including feature platforms, clinical NLP training pipelines, and exactly-once streaming ETL. At Optum, I scaled HIPAA-compliant claims and EHR pipelines for 100M+ members and standardized 300+ ML features across four teams.
I lead platform work from infrastructure through operations, using AWS, Azure, Spark, Kafka, Iceberg, Databricks, and Terraform. My work has reduced lakehouse spend by 35%, cut data incidents 60% year over year, and enabled faster model iteration.
Experience
Work history, roles, and key accomplishments
Architected streaming ingestion for IoT telemetry and built retrieval data platform for GenAI assistant. Led vector search and feature platform, cutting compute spend and improving retrieval hit-rate.
Owned and scaled PySpark/Airflow pipelines on Azure Databricks processing 30+ TB/day of claims and EHR data. Delivered training-data pipelines for clinical NLP and introduced feature store for risk-adjustment ML.
Built internal telemetry platform ingesting Spark cluster event logs and product usage data. Pioneered production adoption of Structured Streaming and pre-release Delta Lake for revenue-critical metering.
Education
Degrees, certifications, and relevant coursework
University of Houston
Bachelor of Science, Computer Science
2012 - 2016
Bachelor of Science in Computer Science from the University of Houston from 2012 to 2016.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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