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Gilliam Murt

@gilliammurt

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Senior Machine Learning Engineer with expertise in AI systems deployment.

United States

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, with opportunities for growth in AI and machine learning.

I am a Machine Learning Engineer with over 7 years of experience in designing, deploying, and scaling AI systems. My background includes working with large language models, transformers, and multimodal learning across various domains such as healthcare, finance, and e-commerce. I have successfully managed cross-functional teams and built MLOps pipelines, handling end-to-end workflows from data ingestion to model deployment.

In my current role as a Lead Machine Learning Engineer at ByteSparkles, I spearheaded the automation of AI model deployment, significantly reducing operational overhead and accelerating time-to-market for data-driven applications. I have led a team of engineers in developing intelligent systems and established MLOps best practices that optimize CI/CD pipelines for continuous model training and deployment. My focus on natural language processing and real-time inference has enhanced text processing efficiency for large-scale enterprise applications.

Experience

Work history, roles, and key accomplishments

Current

Lead Machine Learning Engineer

Current

ByteSparkles

Jan 2023 - Present (2 years 7 months)

Spearheaded the automation of AI model deployment, reducing operational overhead and accelerating time-to-market for data-driven applications. Led a team of 10 engineers in developing intelligent systems, fostering a culture of innovation, collaboration, and technical excellence.

AI Model Deployment Team Leadership MLOps CI CD Recommendation Systems Serverless Computing Container Orchestration

Senior Machine Learning Engineer

Bridges Consulting

Jan 2020 - Present (5 years 7 months)

Led the development of AI-powered platforms, enhancing operational workflows and automating the deployment of machine learning models at scale. Designed and implemented robust data pipelines and feature management systems, optimizing data consistency and accessibility across diverse applications.

Data Pipelines Feature Management Machine Learning Algorithms Data Security HIPAA)GDPR

Machine Learning Engineer

Willow Tree

Jan 2018 - Present (7 years 7 months)

Developed scalable machine learning systems and optimized models for high-accuracy performance in production environments. Designed and implemented distributed training workflows on GPU clusters, significantly accelerating experimentation and training processes.

Machine Learning Optimization Distributed Training GPU Clusters Kubernetes A B Testing Monitoring

Education

Degrees, certifications, and relevant coursework

Virtual University

Bachelor's of Computer Science, Computer Science

2013 - 2017

Studied the fundamentals of computer science, including programming languages, data structures, and algorithms. Gained expertise in various aspects of software development and problem-solving.

Virginia Commonwealth University & Institute of Data

Certificate, Data Science & AI

Completed a comprehensive program in Data Science and AI, gaining expertise in machine learning, deep learning, and data analysis techniques. Applied theoretical knowledge to practical projects and real-world datasets.