AI Model Trainer (Data Preprocessor/Engineering for AI Tasks)
Served as an AI model trainer, focusing on data cleaning algorithms and preprocessing for AI development. Designed and executed Python-based data cleaning tasks, optimizing raw sensor data for AI and analytics use. Work has contributed to improved accuracy in sensor-driven environments and supported smart lab system applications. • Led the development of a Python data cleaning algorithm to enhance sensor data quality for AI systems. • Increased data accuracy rate from 92% to 98% in key projects through advanced cleaning techniques. • Supported training dataset pipeline creation for AI modeling competitions and smart system prototypes. • Collaborated with IoT and AI teams to ensure data readiness for downstream AI applications and analysis.