Sunisa K.

With over 13 years of experience at the intersection of Engineering and Artificial Intelligence, I bridge the gap between complex industrial data and high-performance AI models. My expertise lies in developing, deploying, and diagnosing engineering-based AI, with a specialized focus on the "human-in-the-loop" phase of model optimization. I provide elite-level Multimodal AI training and evaluation, ensuring that AI-generated text, images, and audio meet rigorous technical and linguistic standards. As an experienced Quality Control (QC) lead, I don’t just evaluate; I audit and refine the work of global teams to ensure ground-truth accuracy. Core Competencies: Multimodal AI Evaluation: Expert-level labeling, ranking, and rating of RLHF (Reinforcement Learning from Human Feedback) datasets across Text, Image, and Audio. Quality Assurance & Peer Review: Proven track record in auditing complex AI outputs and providing analytical feedback to improve model alignment and safety. Engineering AI & Research: 13+ years specializing in Signal Diagnosis, Anomaly Detection, and Predictive Maintenance 4.0. Technical Communication: Native Thai speaker with professional proficiency in English, capable of delivering deep technical reports and analytical feedback. Technical Stack: Programming: Python (Advanced), MATLAB, LabVIEW. Specialties: Signal Processing, Industrial AIoT, Data Labeling Strategy, and Model Performance Diagnostics. I am committed to delivering high-precision results for clients who require more than just "data entry"—I provide the domain expertise necessary for sophisticated AI development.