Busisiwe Klaas

Executed adversarial attacks and scenario stress testing against client LLMs to identify system vulnerabilities, prompt leakage, and unsafe API responses. Audited and flagged violative model outputs against trust, safety, and ethical guidelines.

Trained enterprise AI models using Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) methodologies. Conducted contextual relevance analysis, response ranking, and error tagging to optimize model response quality and safety standards.

Synthesized qualitative and quantitative usability study data to author comprehensive UX research reports containing actionable improvement recommendations. Utilized Metabase and Excel to analyze user interaction data and build visual representations of study findings for client teams.

Evaluated operational processes across retail stores and logistics warehouses, introducing lean optimization strategies to minimize waste and improve inventory flow. Analyzed consumer spending trends and operational data, conducted cost-benefit analyses, and presented findings directly to company executives.

Developed study materials, case studies, and assessments covering job analysis, personnel selection, performance evaluation, and strategic HR management. Engaged with departmental stakeholders and facilitated interactive online learning modules for second-year university students.

Pursued a post-graduate degree in Organizational Psychology, focusing on psychometric assessments, organization development, and research methods.

Completed a Bachelor of Social Sciences with majors in Industrial Psychology, International Relations, and Economic Sociology.