Ashwin Rachha has a strong background in software engineering and machine learning, with experience at various organizations. At Mindbowser Inc, Ashwin developed a Facial Expression Recognition application and conducted Exploratory Data Analysis on the FER 2013 dataset. As a Graduate Teaching Assistant at Virginia Tech, Ashwin supported students in Software Engineering and data analytics courses. A recent position as a Machine Learning Engineer at UNAR Labs focused on enhancing multisensory information access for visually impaired individuals by architecting and optimizing data pipelines. Additional experience includes a Machine Learning Internship at Outreach, where Ashwin developed a template engine for NLP model deployment. Academic credentials include a Master’s degree in Computer Science from Virginia Tech and a Bachelor's degree in Computer Engineering from Pune Institute of Computer Technology.
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