Over the past five years, I have built my career at the intersection of content annotation, machine learning, and artificial intelligence. My expertise lies in training AI systems through precise and high-quality data annotation, ensuring that models learn from accurate and well-structured inputs. I have contributed to projects across NLP, computer vision, and audio datasets. With a strong foundation in team leadership, I am passionate about building collaborative environments focused on data integrity, bias mitigation, and annotation excellence. I’m now seeking leadership roles in data operations and AI, where I can continue driving operational improvements and mentoring high-performing teams.
Leading People and Teams (by Coursera and University of Michigan)
Impact of Data and Language Models in Natural Language Processing (by Coursera)