apheris AI
Oleksandr Lapshyn has been working in the software engineering field since 2012. Oleksandr started as a Junior Web-developer at Abitant, then worked as a Front-end Developer and Team Lead at R&R Music Ltd from 2012 to 2013. Oleksandr then moved to X.Commerce Development Center (eBay Inc) as a Front-end Developer from 2013 to 2014. From 2014 to 2017, they worked at Rails Reactor as a Team Lead and Software Engineer. Oleksandr then moved to Sprint-42 as a Full Stack Engineer from 2017 to 2018. In 2018, they worked at Neuromation as a Full Stack Engineer and at Proxet (ex Rails Reactor) as a ML Team Lead and R&D Software Engineer. Currently, they are a Senior Software Engineer at Apheris since 2022.
Oleksandr Lapshyn has a Bachelor's degree in Economic Cybernetics from Kyiv National Economics University, which they obtained from 2007 to 2012. Oleksandr then pursued a Master's degree in Economic Cybernetics at the same university from 2012 to 2013. In 2013, they completed a RoR Course in Computer Science at Kottans. In 2016, they completed a course in Algorithms at Projector Institute. In 2017, they attended the Machine Learning Summer Workshops at Ukrainian Catholic University, where they studied NLP. In 2018, they attended the Lviv Data Science Winter School at Ukrainian Catholic University, where they studied Reinforcement Learning, and they also completed a course in Data Science and Natural Language Processing at Projector Institute. In 2019, they attended the Conversational Intelligence Summer School at the University of Massachusetts Lowell & Moscow Institute of Physics and Technology (State University) (MIPT), where they studied ML/DL for conversational agents (chatbots). Additionally, they have obtained several certifications, including Google Cloud Big Data and Machine Learning Fundamentals from Coursera in October 2021, Sentiment Analysis with Deep Learning using BERT from Coursera in June 2021, Mathematics for Machine Learning Specialization from Coursera in November 2020, Deep Learning Specialization from Coursera in February 2018, Coursera's Machine Learning by Stanford University from Coursera in September 2017, M101JS: MongoDB for Node.js Developers by 10gen from MongoDB in December 2013, and M101 MongoDB for Developers by 10gen from MongoDB in December 2012.