Team
Four-person team. Combined background in rotating equipment reliability, machine learning, and oil & gas field deployment.
Founder & CEO
Reliability engineer with 11 years at a Houston-area midstream pipeline operator. Witnessed firsthand how bearing degradation data was sitting in the PI historian six days before a centrifugal compressor failure — but there was no tooling in place to catch the trend. Founded Midstreamly in 2024 to solve exactly that problem.
ML Engineer
Machine learning engineer specializing in time-series anomaly detection and survival modeling. MS in Data Science from UT Austin. Previously built RUL prediction pipelines for industrial compressor fleets at a process automation firm. Leads the Midstreamly ML pipeline — from OSIsoft PI tag ingestion to LSTM and Weibull model deployment.
Reliability Domain Expert
Mechanical and petroleum engineer with 14 years of hands-on experience at gas processing plants across the Permian Basin and Eagle Ford. Certified Maintenance and Reliability Professional (CMRP). Leads Midstreamly's failure mode library — documenting spectral signatures for centrifugal compressors, multistage pumps, and gas turbine drivers drawn from real field investigations.
Field Deployment Engineer
IT/OT integration specialist who has deployed data collection infrastructure across air-gapped compressor stations and pipeline pump facilities throughout Texas, Louisiana, and Oklahoma. Expert in OPC-UA bridging, historian connector configuration, and OT network segmentation requirements for ICS environments. Owns the Midstreamly deployment playbook from connectivity audit through first alert.
We're hiring
Looking for a Controls & Instrumentation Engineer
Houston, TX — angel-funded equity + competitive comp
Partner with us
If you're a reliability engineer or plant manager dealing with unplanned compressor or pump downtime, we'd like to hear about your setup — even before you're ready to evaluate a vendor.
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