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Mykel Pendergrass

@mykelpendergrass

Senior Machine Learning Engineer at Troy Medicare; led federated learning that improved rare disease diagnosis accuracy by 40%.

United States

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At Troy Medicare, I led development of a federated learning system supporting collaboration across 10+ healthcare institutions while maintaining data privacy requirements. It improved rare disease diagnosis accuracy by 40%.

I also directed a team developing a real-time multimodal AI system for autonomous vehicles. The team’s system reduced decision-making latency by 65% and achieved reported object detection accuracy of 99.9%.

At Quaero, I led development of a customer sentiment analysis model that improved classification accuracy by 35%. I also designed a TensorFlow and Kubernetes deep learning pipeline that reduced training time by 50%.

At Red Ventures, I implemented a Kubernetes and Kubeflow MLOps platform that automated model deployment workflows. Earlier, I worked across ML engineering, data engineering, and software development, including building data pipelines and model monitoring systems.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Troy Medicare

Jan 2023 - Present (3 years 9 months)

Led development of a federated learning system across 10+ healthcare institutions, improving rare disease diagnosis accuracy by 40%. Directed a team of 15 engineers in building a real-time multimodal AI system, reducing decision-making latency by 65% and achieving 99.9% object detection accuracy.

Federated Learning Multimodal AI Object Detection Quantum Machine Learning Fraud Detection Healthcare AI

Deep Learning Engineer

Quaero

Jan 2021 - Dec 2022 (1 year 11 months)

Led a team of five engineers in developing an NLP sentiment analysis model, improving accuracy by 35% and contributing to a 20% increase in client retention. Designed a scalable deep learning pipeline using TensorFlow and Kubernetes, reducing training time by 50%.

NLP Sentiment Analysis TensorFlow Kubernetes Deep Learning Marketing Analytics

ML Ops Engineer

Red Ventures

Jan 2019 - Dec 2021 (2 years 11 months)

Architected an MLOps platform using Kubernetes and Kubeflow, reducing deployment time by 75% and improving model performance by 30%. Led a cross-functional team in developing an automated ML pipeline with explainability and implemented federated learning across five global partners.

MLOps Kubernetes Kubeflow Federated Learning Explainability Model Deployment

Machine Learning Engineer

Clikergy

Jan 2019 - Dec 2019 (11 months)

Implemented a CI/CD pipeline for ML models using Jenkins and MLflow, reducing time to production by 50%. Optimized data preprocessing with Apache Spark and Dask, achieving a 3X speedup, and developed a custom AutoML solution improving model development efficiency by 40%.

CI CD Jenkins MLFlow Apache Spark Dask AutoML data preprocessing

Data Engineer

Tax Management Associates

Jan 2018 - Dec 2018 (11 months)

Designed a scalable data processing pipeline using Apache Beam and Google Cloud Dataflow, processing over 10 petabytes daily with 99.99% uptime and reducing costs by 40%. Led migration of ML models to containerized microservices, reducing serving latency by 60%, and developed an automated monitoring system using Prometheus and Grafana.

Apache Beam Google Cloud Dataflow Containerization Microservices Prometheus Grafana Model Monitoring

AI, machine learning, software development

Rapidops

Jan 2014 - Dec 2018 (4 years 11 months)

Gained hands-on experience across AI, machine learning, and software development, contributing to projects combining application programming with data-driven problem-solving. Built a strong technical foundation through practical implementation and ongoing skill development.

AI Machine Learning Software Development Programming

Teaching Assistant / Research Student

UNC Charlotte

Jan 2012 - Dec 2014 (2 years 11 months)

Supported university programming instruction by explaining programming concepts and connecting implementation logic with observable software behavior. Contributed to technical research activities involving academic and software-related work.

Programming Instruction Technical Communication Research