Patrick Ebuka

Results-oriented AI Training Specialist and Data Annotation Expert with over 5 years of hands-on experience evaluating and refining Large Language Models on platforms such as Outlier AI and Mindri ft. Proven track record in prompt engineering, response evaluation, quality assurance, and AI ethics. Holds a Master's degree in Artificial Intelligence and a Bachelor's in Mechanical Engineering.

Excellent analytical thinker with strong attention to detail, capable of delivering high-volume, high-quality work in fast-paced AI development environments. Passionate about contributing to the advancement of safe, reliable, and capable AI systems.

AI Training & Data Annotation Expert at Outlier AI & Mindrift (2021-01 – Present)

Delivered expert-level AI training, data annotation, and quality evaluation for frontier Large Language Models, consistently meeting or exceeding strict quality benchmarks.

• Reviewed, analyzed, and scored thousands of AI-generated responses across diverse domains for accuracy, relevance, coherence, safety, and adherence to complex guidelines.
• Specialized in prompt assessment, response justification, red-teaming, and iterative improvement of model outputs.
• Conducted in-depth research and information synthesis to support high-quality task completion and model refinement.
• Adapted rapidly to evolving project requirements and new evaluation rubrics while maintaining exceptional consistency and attention to detail.
• Achieved top-tier performance ratings through sustained high throughput and quality standards.

Computer Training Instructor at Excellent Tutors Computer Enterprise (2021-01 – 2022-12)

Designed and delivered training programs on fundamental computer skills, digital literacy, productivity tools, and internet-based applications.

• Supported beginners and intermediate learners in building confidence and practical technology skills.
• Developed teaching materials and assessment methods that improved student engagement and learning outcomes.

Freelance AI Research & Data Specialist at Self-employed / Various Remote Projects (2022-01 – Present)

Performed advanced internet research, data collection, and curation to support AI model development and academic/industry projects.

• Conducted thorough prompt testing, app feedback, and quality reporting for emerging AI tools and applications.
• Applied Mechanical Engineering analytical background to technical problem-solving and systematic evaluation tasks.

Pharmaceutical R&D Domain Expert at BioForge Therapeutics (via Mercor) (2026-01 – Present)

Served as a subject matter expert contributing to the development of realistic pharmaceutical R&D simulations and world-building for AI training systems.

• Defined core workflows for managing drug candidate portfolios across preclinical and Phase I-III clinical development stages.
• Created detailed use cases covering study data analysis, safety signal monitoring, regulatory submission processes, vendor/CRO management, milestone tracking, and strategic go/no-go decision-making.
• Provided industry-accurate insights on cross-functional R&D operations integrating scientific, operational, and financial considerations.

Doctor of Philosophy (PhD) in Artificial Intelligence – Capitol Technology University (2023-01 – 2026-12)

Master of Science in Artificial Intelligence – University of Colorado Boulder (2023-01 – 2023-12)

Bachelor of Engineering (B.Eng.) in Mechanical Engineering – University of Nigeria, Nsukka (UNN) (2020-01 – 2026-12)