Collaborated closely with Ifiveo's deep learning team to ensure ML model performance, focusing on accuracy and reliability. Contributed to the full lifecycle of object detection models, from data preprocessing to training and inference, to enhance accuracy. Developed Python and PyTorch automation solutions to streamline manual workflows and boost productivity. Designed and implemented automated solutions for real-time monitoring scenarios, such as camera angle change detection. Conducted comprehensive model performance evaluations, providing actionable insights for continuous improvement. Implemented effective data monitoring strategies to improve data quality and enhance model performance. Cultivated a cross-functional collaborative work environment and promoting open communication. Prepared engaging video demos using object detection models for effectively communicating project features to stakeholders.

 Annotated data for image classification, object detection, and action classification models. Conducted quality control checks to maintain high data standards. Managed annotator team, ensuring accuracy and consistency in annotations. Adjusted annotation strategies based on project stakeholder feedback. Trained new annotators on protocols and tools for uniform data labeling. Stayed updated on industry trends in annotation methodologies for process enhancement.

Learn about calibration and measurement science, including calibration of dimensional equipment, pressure and temperature measuring devices being used in various industries