Maxwell Kingsley

Designed and deployed prompt-testing frameworks and adversarial prompts to evaluate LLM reasoning and ethical alignment, producing evaluation reports with mitigation strategies that identified high-risk behavioral triggers.

Captured and curated imagery for commercial and AI training datasets, managed metadata tagging, and ensured visual consistency to elevate dataset quality and usability.

Trained and evaluated ASR and NLU systems across multilingual datasets, conducted QA to detect phonetic inconsistencies and transcription mismatches, improving speech recognition accuracy and robustness.

Provided multichannel customer support and authored troubleshooting guides that improved onboarding for new agents, enhancing customer retention through proactive communication and faster issue resolution.

Executed structured data labeling and multimodal annotation projects with 99%+ accuracy, designed edge-case scenarios for AI safety testing, and maintained top-tier annotation accuracy across multilingual projects.

Managed sensitive accident claims, coordinated with insurers and repair partners to ensure timely resolutions, and reduced claim resolution time by 20%.

Supported multimodal model development through advanced video labeling and contextual testing, enhancing dataset coherence and model grounding for multimodal systems.

Executed comprehensive data annotation and QA with a focus on ethical data governance, improving workflow efficiency by 18% through automation and enhancing dataset integrity to reduce model drift.

Delivered real-time call and chat support during high-volume ticketing and event operations using Zendesk, maintaining 100% data integrity and achieving over 95% customer satisfaction across quarters.

Created over 10,000 linguistically diverse, culturally sensitive dialogues for conversational AI, improving AI fluency and coverage across varied language contexts.

Performed linguistic annotation for NLP datasets ensuring precision and ethical standards, contributing to a 15% improvement in speech recognition accuracy while maintaining 100% project delivery rate.

Completed a Bachelor of Science in Computer Science with coursework relevant to computing fundamentals and practical programming.

Completed the Google Data Analytics Professional Certificate covering data analysis tools and workflows.

Completed a Data Annotation Certification focused on annotation techniques and quality assurance for ML datasets.