Data Annotation & Computer Vision: Annotated images and performed video frame tracking, labeling visible objects and assessing object visibility/occlusion percentages (50%, 75%, 100%) across video sequences for machine learning training.

UX/UI & E-Commerce Quality Assurance (QA): Evaluated digital products, apps, games, and websites against specific rubrics; conducted rigorous end-to-end testing on e-commerce platforms across desktop, tablet, and mobile devices to verify product links, correct pricing, cart functionality, and checkout flows.

Conversational AI Evaluation: Audited and compared dialogue interactions to evaluate naturalness, conversational flow, and human-likeness between AI models.

Red Teaming: Acted as an adversarial user to stress-test large language models, attempting to find logic flaws, loopholes, or boundaries by crafting clever prompts to break or trick the system.

Generative Art & Multi-Modal Prompt Alignment: Evaluated AI-generated images and short video clips against complex text prompts, assessing visual accuracy, structural flaws, and prompt adherence.

Search Intent and Map/Local Query Auditing: Investigated search engine and map queries to determine whether real-world business data, hours, locations, and web links accurately satisfied hyper-specific user intent.

Multi-Turn Roleplay and Interactive Scenario Testing: Simulated complex conversational scenarios (such as customer service disputes or interactive storytelling) to evaluate an AI's memory, persona maintenance, and emotional intelligence.

Elo Rating & Blind Comparisons: Conducted head-to-head blind evaluations of AI models using pairwise comparison systems, judging which responses or dialogues performed better to update relative skill rankings.