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© 2026 Blaise Moses

My Journey

I specialize in bridging the gap between automation engineering and AI systems. Over the past few years, I’ve led initiatives that modernized QA pipelines, built data-driven frameworks, and enabled enterprise AI testing and risk evaluation at scale.

Software Engineer (AI)

Ally Financial · Nov 2025 — Present

Currently developing internal AI and Automation tools including data pipelines, visual analytics dashboards, and metric systems that help Risk Management and engineering teams measure reliability, bias, and consistency in model-driven workflows.

Associate QA Engineer (SDET)

Ally Financial via Brooksource · Oct 2024 – Nov 2025

Engineered robust end-to-end test automation frameworks for Salesforce systems using Playwright and Cucumber, improving CI/CD reliability and accelerating release cycles. Designed a JSON and DynamoDB-based test data orchestration layer that enabled previously impossible automation scenarios and reduced pipeline runtimes by over 30%. Currently sit on interview panel and lead training for new SDET hires entering this role.

Software Engineer / Quality Analyst

Data Annotation Tech · Nov 2023 – Oct 2024

Partnered with AI research teams from industry leaders like Anthropic to evaluate and refine large language models through data-driven benchmarking. Built evaluation pipelines to assess LLM-generated code quality against ground-truth solutions and authored reference implementations to improve reinforcement learning and model alignment.

B.S. Computer Science

University of South Carolina · Aug 2020 – May 2024

Graduated with a strong focus on software engineering, backend systems, and applied machine learning.