Suki
Alpesh K. has over 8 years of work experience in software engineering. In 2022, they began working as a Senior Software Engineer at Suki. Prior to this, they were a Software Engineer at Smart Eye (2021), Affectiva (2020), and Heidenhain Corporation (2016). In 2015, they worked as a Graduate Research Assistant at UMass Boston, where they implemented Nagios to monitor and detect unusual activity over entire IT-RC infrastructure, developed an automated Python & BASH script to retrieve usage information from the UMASS GHPCC cluster, and implemented SLURM prototype to manage submitted jobs on multiple nodes. In 2013, they worked as a Software Developer Intern at Vidyalankar Institute of Technology, India, where they developed a Web and Android application named Event Registration system, which helped students and faculty members to register for the upcoming events with ease.
Alpesh K. obtained their Bachelor's Degree in Information Technology from the University of Mumbai between 2010 and 2014. Alpesh then went on to pursue a Master's degree in Computer Science at UMass Boston, which they completed in 2016. In 2017, Alpesh obtained a Machine Learning certification from Coursera and, prior to that, they obtained a Step up to Professional Excellence certification from Dale Carnegie Training India in 2013.
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Suki
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Suki is an AI-powered, voice-enabled digital assistant for doctors that lifts the burden of documentation, enabling them to focus on what they love: treating patients. By using artificial intelligence, Suki is able to be personalized to each doctor, gets smarter as they use it, and is rapidly and inexpensively scalable. Moreover, it is easy to implement and even easier to use, not getting in the way of the physician and the patient. Suki is like having an assistant in the exam room who knows how a doctor practices and, as a result, makes the work day easier.