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Robert Lawhead

@robertlawhead

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Senior AI and DevOps engineer building scalable MLOps platforms and production-ready LLM pipelines.

United States

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What I'm looking for

I want senior roles building and scaling production LLMs and MLOps platforms in secure, compliant environments, collaborating cross-functionally and driving measurable impact.

I am a Senior AI Engineer and DevOps specialist who solves messy, real-world problems with clean code, scalable infrastructure, and a healthy dose of sarcasm.

At TriNetX I deployed production-grade LLM pipelines and RAG architectures that sped clinical-trial feasibility analysis by 47%, designed QLoRA fine-tuning that reduced hallucination by 32%, and built a distributed RAG engine delivering sub-second retrieval across 10M+ clinical documents. I also refactored federated EHR ETL pipelines to cut data latency from 12 hours to under 90 minutes while improving downstream model accuracy.

I deliver repeatable MLOps and observability—MLflow, Airflow, DVC, Kubeflow, OpenTelemetry, Prometheus, and Grafana—across AWS, Azure, and GCP, and have built multi-tenant SaaS platforms for 200+ research clients with secure, compliant controls. I design and ship REST/gRPC APIs, CI/CD pipelines, and serverless inference solutions to make models reliable, auditable, and cost-efficient.

I bring practical expertise in LLM fine-tuning, vector search, data engineering, and cloud-native infrastructure, and I prioritize security, reproducibility, and collaboration. I’m looking to join teams that value production-grade ML, scalability, and measurable impact.