BRYSON KYLE
@brysonkyle2
Senior software engineer focused on AI evaluation and scalable full-stack systems.
What I'm looking for
I’m a Senior Software Engineer and AI Evaluation Specialist who builds scalable full-stack applications, AI systems, and distributed backend services. I bring strong fundamentals in algorithms, system design, debugging, testing, database optimization, and performance optimization—so the software I ship is reliable under real production constraints.
Across roles at Handshake AI, Outlier AI, Scale AI, and IBM, I’ve designed REST APIs and backend services, optimized data pipelines, and supported model-serving and real-time processing. I also evaluate AI model outputs, contribute to prompt optimization and model reliability, and build structured workflows for annotation, validation, and human-in-the-loop evaluation.
Experience
Work history, roles, and key accomplishments
Full-Stack / AI Engineer
Handshake AI
Jan 2025 - Present (1 year 5 months)
Designed and deployed scalable backend systems supporting AI model evaluation workflows and distributed processing. Built RESTful APIs and full-stack applications in Python and Next.js, and evaluated model outputs to improve reliability through prompt optimization initiatives.
Full-Stack Software Engineer
Outlier AI
Jan 2024 - Present (2 years 5 months)
Developed internal dashboards and evaluation tools for AI model assessment workflows, including grading and annotation systems. Implemented caching and optimized data processing performance using SQL databases and asynchronous workflows to support AI training and validation projects.
Software Engineer
Scale AI
Jan 2023 - Jan 2024 (1 year)
Engineered backend services and processing pipelines for large-scale AI data systems, improving distributed workflow efficiency. Supported AI model training infrastructure and software evaluation initiatives through debugging, optimization, and reliability-focused engineering.
Machine Learning Engineer
IBM
Jan 2022 - Jan 2023 (1 year)
Developed and deployed NLP and machine learning applications in production, including APIs and scalable services for model serving and real-time processing. Improved AI pipeline reliability and performance using testing and optimization while working with structured datasets and cloud-based deployment workflows.
Education
Degrees, certifications, and relevant coursework
University of Arizona
Master of Science, Software Engineering
2020 - 2023
Earned a Master of Science in Software Engineering, specializing in machine learning, cloud computing, and system design.
University of Arizona
Bachelor of Science, Software Engineering
2016 - 2019
Earned a Bachelor of Science in Software Engineering with a focus on algorithms, data structures, and full-stack development.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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