James Scott - Senior Machine Learning Engineer - Leidos | Himalayas
James ScottJS
Open to opportunities

James Scott

@jamesscott2

Senior Machine Learning Engineer with expertise in scalable AI solutions.

United States

What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth in AI technologies.

I am a Senior Machine Learning Engineer with over 8 years of experience in designing and deploying scalable AI solutions. My expertise spans Natural Language Processing (NLP), Generative AI, and recommendation systems, with a proven track record of delivering high-impact ML solutions across various industries including e-commerce, healthcare, and cybersecurity.

Throughout my career, I have fine-tuned Large Language Models (LLMs) using advanced techniques such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF), achieving significant improvements in accuracy for applications like cybersecurity threat detection. I am passionate about building robust ML pipelines and driving innovation through cutting-edge AI technologies, and I have successfully implemented systems that enhance customer engagement and operational efficiency.

As a mentor to junior engineers, I have fostered a collaborative environment that emphasizes best practices in ML development. My commitment to continuous learning and improvement has not only enhanced team productivity but also contributed to the successful deployment of scalable AI solutions that meet the evolving needs of businesses.

Experience

Work history, roles, and key accomplishments

LE
Current

Senior Machine Learning Engineer

Leidos

Oct 2020 - Present (4 years 8 months)

As a Senior Machine Learning Engineer at Leidos, I fine-tuned large language models for cybersecurity and e-learning applications, achieving significant accuracy improvements. I built a personalized recommendation system for e-commerce, designed a real-time fraud detection system, and developed predictive models for healthcare. I also optimized data pipelines and implemented end-to-end ML workflow

KE

Machine Learning Engineer

Keyrus

Oct 2016 - Aug 2020 (3 years 10 months)

At Keyrus, I designed and deployed machine learning models across various industries, enhancing operational efficiency and user engagement. I built a sentiment analysis system using BERT, developed a movie recommendation system, and engineered a loan eligibility prediction model. I collaborated with teams to integrate ML solutions into products and utilized cloud platforms for model training and d

Education

Degrees, certifications, and relevant coursework

University of Texas at Dallas logoUD

University of Texas at Dallas

Bachelor of Science, Computer Science

2012 - 2016

Completed a Bachelor of Science in Computer Science, focusing on software development, algorithms, and data structures. Gained practical experience through projects and internships, preparing for a career in machine learning and AI.

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