Alexis Yang is a skilled software engineer and machine learning engineer with experience in both industry and academic settings. Currently working at Meta on generative AI for Business Messaging, Alexis previously interned at Meta focusing on NLP for Messenger and conversational AI, where innovations included a two-tower model for text suggestion and advanced data processing using Hive and PyTorch Lightning. At Muncaster Consulting, Alexis developed video analytics solutions and led research on object detection and background subtraction. Educational qualifications include a Master of Science in Engineering in Computer Science from the University of Pennsylvania and a Bachelor of Science in Computer Engineering from UC Santa Barbara, both with a GPA of 3.9. Additional experience includes research on gender bias in visual representations and contributions to cryptographic pseudorandom number generators.
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