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Scale AI
Labelbox
CVAT
Snorkel AI
Toloka
Text
Image
Audio
RLHF
Data Collection
Function Calling
Red Teaming
Prompt + Response Writing (SFT)
Evaluation/Rating
Transcription
Text Generation
Object DetectionAs a QA Engineer and Automation Specialist with over 3 years of experience, I bring a rigorous, methodology-driven approach to AI training and data labeling. My background in manual testing and no-code workflow optimization allows me to provide high-fidelity feedback and structured annotations for complex SaaS and Web3 ecosystems. I specialize in identifying edge cases and ensuring data integrity across various digital platforms. I have a proven track record of managing end-to-end quality processes, from initial research to final execution. By combining technical analytical skills with an eye for user experience, I set myself apart as a contributor who understands the 'why' behind the data, ensuring that training models are built on accurate, context-aware information.
TextFunction CallingDeveloped and validated structured data exchanges between LLMs (Gemini) and third-party APIs via Make.com. My role involved defining function schemas, ensuring the AI correctly mapped JSON outputs to external database fields, and troubleshooting logic failures in automated bug reporting scenarios. I focused on ensuring the model consistently triggered the correct 'tools' based on specific user input triggers.
TextRLHFParticipated in Reinforcement Learning from Human Feedback (RLHF) sessions to align AI model responses with user intent and product usability standards. I ranked and provided qualitative reasoning for model outputs based on clarity, tone, and technical correctness. My focus was on ensuring the AI provided helpful, non-redundant, and logically sound advice for business users.
TextTranscriptionAudited and labeled technical documentation and code snippets for accuracy and execution logic. Drawing on my background with Postman and API testing, I categorized code-based responses to ensure they followed standard syntax and functional requirements. I specialized in identifying 'hallucinations' in technical explanations provided by AI models regarding software workflows.
ImageData CollectionParticipated in a large-scale image annotation initiative for Sapien, a decentralized AI data layer. The project involved high-precision labeling and tagging of visual datasets to train computer vision models. I maintained a high accuracy rate while navigating the project’s specific Web3-integrated dashboard, ensuring that all metadata and annotations met the platform’s quality benchmarks for decentralized data labeling.
Higher National Diploma (HND) in Business Administration, Business Administration
Workflow Automation & No-Code Specialist
QA Engineer
