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Rio Normanbradford

@rionormanbradford

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Senior Machine Learning Engineer specializing in computer vision and generative AI.

United States

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What I'm looking for

I seek senior roles building end-to-end AI systems where I can apply computer vision, LLMs, MLOps, and cloud infrastructure to deliver production-grade, secure, and scalable ML solutions.

I am a Senior Machine Learning Engineer with 10 years of experience researching, designing, implementing, and deploying advanced computer vision, NLP, and generative AI solutions. I combine a strong foundation in mathematics, physics, and statistics with hands-on expertise in model development, GPU-accelerated optimization, and production MLOps on cloud and on-prem infrastructure.

I have driven measurable improvements—such as 30% content production efficiency gains and 50% reductions in training time—by building end-to-end AI systems, architecting scalable data pipelines, and implementing robust CI/CD and monitoring. I thrive in autonomous, full-stack environments where I can bridge research and engineering to deliver secure, performant, and production-ready AI services.

Experience

Work history, roles, and key accomplishments

Senior Machine Learning Engineer

Scale AI

Apr 2021 - May 2025 (4 years 1 month)

Designed, fine-tuned, and deployed agentic AI ecosystems (GPT, LLaMA, Claude) and optimized GPU-accelerated production systems, reducing latency and improving performance for large-scale NLP applications.

Python Prompt Engineering RAG CUDA TensorRT Onnx AWS Glue CI CD

Senior NLP Engineer

Vistendo

May 2019 - Feb 2021 (1 year 9 months)

Developed and deployed text-generation and sentiment-analysis models, improving content production efficiency by 30% and halving training time via optimized data pipelines and scalable deployments.

PyTorch Transformers AWS Sagemaker Apache Kafka Apache Spark MLFlow GitHub Actions

Computer Vision Engineer

SLB

Sep 2017 - Feb 2019 (1 year 5 months)

Developed and optimized CV models (YOLO, SSD, Fast R-CNN) for medical imaging and industrial anomaly detection, implementing 3D vision and unsupervised anomaly techniques to improve defect detection.

Computer Vision YOLO Fast R CNN TensorFlow PyTorch Docker Kubernetes Model Monitoring

AI Developer

Halliburton

Sep 2014 - May 2017 (2 years 8 months)

Built and deployed ML models (XGBoost, Random Forest) for regression and classification business use cases and optimized GPU workflows using C/C++ and CUDA for production performance.

XGBoost scikit learn Python C C++CUDA TensorFlow Data Visualization Git

Education

Degrees, certifications, and relevant coursework

Texas Tech University

Bachelor of Computer Science, Computer Science

2010 - 2014

Completed a Bachelor of Computer Science focused on core computer science principles and practical machine learning and software development applications.