AI / Machine Vision Software Intern
During my internship, I worked on AI-powered data processing pipelines handling vision-adjacent, streaming numerical data. I applied machine learning techniques such as anomaly detection and pattern analysis to enhance data reliability. My primary focus was on building testable code and integrating automated validation processes into robust AI solutions. • Engaged in quality assurance and validation for AI model outputs • Implemented data enrichment and cleansing routines as part of pre-labeling steps • Collaborated with developers to integrate continuous feedback loops for improving models • Produced and validated annotated datasets on streaming data for AI/ML pipelines