Looking for a job

Robert Lawhead

@robertlawhead

Message

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

United States

Message

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.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

TriNetX, LLC

Jul 2020 - Jul 2025 (5 years)

Deployed production LLM pipelines integrated with LangChain and RAG to enable federated patient cohort searches, improving clinical trial feasibility analysis speed by 47% and achieving sub-second retrieval for 10M+ documents. Implemented QLoRA PEFT fine-tuning that reduced model hallucination by 32% and refactored ETL to cut data latency from 12 hours to under 90 minutes.

Python Lang Chain Kubeflow Kubernetes AWS MLFlow Pinecone TensorFlow

Senior Software Engineer

Medlogix, LLC

Dec 2017 - May 2020 (2 years 5 months)

Developed and deployed ML pipelines for medical bill classification that reduced manual review workload by 42% and claim turnaround time by 26%. Led transformer fine-tuning and RAG-based case triage that increased processing efficiency for high-complexity claims by 55%.

Python scikit learn TensorFlow SpaCy Docker Kubernetes Azure Terraform MLFlow

Software Engineer

Sibedge, LLC

Apr 2016 - Dec 2017 (1 year 8 months)

Delivered a multilingual document classification system achieving 93% average precision and accelerating triage workflows by 34%. Built distributed training pipelines that improved training throughput 4.2× and prototyped a RAG retrieval solution reducing support inquiry handling time by 47%.

Python TensorFlow PyTorch Faiss Docker Kubernetes Prometheus React GCP

Software Developer

Sibedge, LLC

Apr 2012 - Mar 2016 (3 years 11 months)

Built a probabilistic classification model that reduced manual triage effort by 72% and developed a real-time event ingestion system for anomaly detection in financial logs. Created a full-stack SPA for model diagnostics and implemented containerized CI/CD pipelines for cloud deployment.