Herring Donald

Software engineer and AI-focused data professional with experience spanning machine-learning projects, data annotation and quality review, cloud-based tools, and full-cycle software development. Brings a practical combination of programming, data analysis, and technical support skills, with an emphasis on accurate execution, clear documentation, and dependable delivery. Has worked with structured datasets, model-training workflows, web technologies, and collaborative development practices, and is comfortable translating task requirements into organized, testable work.

Interested in building reliable, scalable solutions and contributing to AI and software projects through careful analysis, continuous learning, and a strong focus on quality.

AI Data Specialist at AI Innovation Lab, Global (2024-01 – Present)

• Perform data-related tasks including data collection, evaluation, and high-precision annotation.
• Conduct pairwise comparisons and counting tasks to support model refinement and safety protocols.
• Label objects across multiple content types, including audio, video, and images, for machine-learning datasets.
• Apply native-level Oromo fluency and advanced English proficiency (C2) to support linguistic accuracy in multilingual datasets.

Software Developer Intern at Tech Solutions Inc. (2024-06 – 2024-08)

• Optimized cloud-based monitoring systems, improving reported system speed by 20%.
• Implemented a real-time health and performance monitoring tool.
• Collaborated in an Agile environment, participating in daily stand-ups and code reviews.

IT Support Specialist at University of Memphis (2023-01 – 2024-12)

• Managed hardware and software upgrades, contributing to a reported 30% increase in network speed.
• Supported faculty and students transitioning to cloud-based collaboration tools, including Google Workspace and Microsoft 365.

AI & Software Engineer at Contract / Remote (2023-01 – Present)

• Designed and deployed AI tools intended to improve operational efficiency by 30%+.
• Integrated payment systems, including Stripe and PayPal, into application workflows.
• Managed end-to-end AI deployments involving cloud infrastructure and data collection.

Machine Learning Engineer at Remote (2021-01 – 2023-12)

• Developed predictive models for forecasting and customer analytics.
• Automated data pipelines to support repeatable processing and reduce infrastructure costs.

Data Entry Specialist at Remote (2020-01 – 2023-12)

• Processed and validated large datasets with reported accuracy above 99%.
• Structured raw data for analytics and reporting.

Bachelor of Science in Computer Science – University of Memphis (2021-01 – 2025-12)

Doctor of Philosophy in Software Engineering – Massachusetts Institute of Technology (2022-01 – 2026-12)

Master of Science in Software Engineering – Massachusetts Institute of Technology (2020-01 – 2022-12)

Bachelor of Science in Computer Science – Massachusetts Institute of Technology (2016-01 – 2020-12)