Steven Stewart

Software Engineer, AI Prompt Engineering And Machine Learning @ ScaleAI

About Steven Stewart

Steven Stewart is a Software Engineer specializing in AI prompt engineering and machine learning at Scale AI, where he has worked since 2024. He has extensive experience in training generative artificial intelligence language models and has previously held positions at Ford Motor Company and Dynatrace.

Work at ScaleAI

Steven Stewart has been employed at Scale AI since 2024, serving as a Software Engineer specializing in AI Prompt Engineering and Machine Learning. In this role, he focuses on enhancing the coding capabilities of generative artificial intelligence language models. His work involves providing detailed coding solutions and implementations that leverage various programming languages, including JavaScript, Python, Java, and C/C++. This position is remote, allowing him to contribute to the company's initiatives from a flexible location.

Previous Experience at Ford Motor Company

Before joining Scale AI, Steven Stewart worked at Ford Motor Company in various roles. He served as a Software Engineer in Cloud technologies from 2020 to 2023, where he utilized platforms such as Azure, PCF, and GCP. Additionally, he held the position of Customer Success Manager (Onboarding) for 11 months in 2019. His experience at Ford encompassed both remote and hybrid work environments, demonstrating his adaptability in different operational settings.

Background in Education and Early Career

Steven Stewart studied at Saginaw Valley State University, where he earned a Bachelor’s Degree in Computer and Information Systems Security/Information Assurance from 2012 to 2017. His early career included positions such as Forms Designer at Saginaw Valley State University and Database Developer at Decypher Corporation. He also participated in a Professional Development Program at Dynatrace in 2017, which provided him with foundational technical skills.

Technical Skills and Expertise

Steven Stewart possesses expertise in training generative artificial intelligence language models, specifically aimed at improving their coding capabilities. His technical skill set includes proficiency in multiple programming languages, such as JavaScript, Python, Java, and C/C++. He focuses on developing the next generation of coding tools through AI prompt engineering and machine learning, reflecting his commitment to advancing technology in software development.

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