Priyanshi Garg

Priyanshi is an emerging talent at the intersection of Machine Learning and Natural Language Processing, demonstrated by her current role in Product/NLP at Kinetica and her innovative PushkinAI project which generates Russian poetry using fine-tuned ruGPT. Her academic background in Computer Science at Carnegie Mellon University, coupled with a concentration in Machine Learning, provides a strong foundation in these advanced technical domains. rocketreach+2

She has significant research experience, including her role as an Undergraduate Researcher at CMU's Machine Learning Department and a Research Developer at the University of Pittsburgh School of Medicine. Her contributions to the Teachable Robots group at CMU's Robotics Institute, particularly on projects exploring robot feedback and nonverbal behaviors, highlight her expertise in human-robot interaction and applied AI research. cmu+2

Priyanshi's interdisciplinary interests are notable, particularly her minor in Russian Studies alongside her Computer Science degree. This unique combination is exemplified by her PushkinAI project, which bridges her technical skills in deep learning with her linguistic and cultural appreciation for Russian poetry. github+1