Looking for a job

Devin Roberts

@devinroberts1

Senior AI Engineer at xAI building Grok reasoning workflows and an end-to-end RAG platform for internal knowledge retrieval.

United States

Message

At xAI, I improve Grok-based AI systems by working on reasoning, code generation, long-context management, and task continuity. I also design and lead development of an end-to-end RAG platform for internal knowledge retrieval, including ingestion and retrieval workflows.

At Waystar, I developed machine-learning solutions for healthcare financial analytics, including claim denial prediction and prioritization. I built and maintained workflows from data preparation through deployment and monitoring, using Python, SQL, and machine-learning tools.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

xAI

Apr 2025 - Present (1 year 7 months)

Improve Grok-based AI systems by enhancing reasoning, code generation, and AI reliability. Develop structured reasoning, task planning, execution tracking, and code verification workflows, and build automated testing and validation processes.

Python Go OpenAI API XAI RAG LLM Prompt Engineering Vector Databases Semantic Search Hybrid Search Data filtering Similarity Ranking Reranking Data Ingestion Embedding Pipelines Testing Automation Validation

Senior AI/ML Engineer

Waystar

Mar 2020 - Mar 2025 (5 years)

Developed and improved machine learning solutions for healthcare financial analytics, including claim denial prediction, claim prioritization, payment analysis, and revenue optimization. Built and maintained end-to-end ML workflows covering data preparation, feature engineering, model training, evaluation, deployment, and monitoring.

Python SQL PyTorch TensorFlow scikit learn XGBoost Apache Spark Distributed Data Processing Model Serving Inference Performance A B Testing Model Monitoring Model Retraining Model Validation Performance Testing Feature Engineering predictive modeling Ranking Prioritization

AI/ML Engineer

Waystar

Nov 2019 - Mar 2020 (4 months)

Developed machine learning models for healthcare financial analytics and operational prediction. Built data preparation and feature engineering workflows for structured healthcare and claims data, and evaluated model performance using statistical metrics and validation methods.

Python SQL Machine Learning Feature Engineering Model Evaluation Statistical Analysis Validation Error Analysis Healthcare Analytics

Machine Learning Engineer

Waystar

Mar 2015 - Nov 2019 (4 years 8 months)

Built predictive analytics workflows for large-scale healthcare claims datasets and financial data, supporting denial prediction, payment analysis, and operational prioritization. Developed and evaluated models for claim denial, payment analysis, and prioritization.

Python SQL Machine Learning predictive modeling Statistical Analysis Cross Validation Performance Benchmarking Error Analysis Data Pipelines Healthcare Analytics

Data Scientist

Amgen

Jan 2013 - Dec 2014 (1 year 11 months)

Performed data cleaning, preprocessing, validation, and statistical analysis. Developed analytical workflows to support data-driven research and business decisions, and created visualizations, dashboards, and reports to communicate findings.

Data Cleaning data preprocessing Statistical Analysis Data Visualization Dashboarding Reporting Analytics Workflows