About

Alex Gonopolskiy is an experienced software engineer with over 13 years of experience in the industry. He is currently working as an NLP Engineer at a stealth mode AI startup, where he is responsible for developing natural language processing solutions. Alex has a strong background in theoretical computer science, math, and engineering practices. He is fluent in various programming languages, including Python, Java, C++, and Scala, and has experience working with distributed environments in AWS and SLURM. He has developed in-house solutions for high volume data processing tools and has also worked with industry-standard tools such as Hadoop and Spark. Before joining the AI startup, Alex worked in the algorithmic high-frequency trading space. He worked closely with a small team of traders and researchers to develop the infrastructure to analyze market data and order execution history, develop models for high-frequency trading in various spaces, and develop trading platforms to execute the models. Alex also has experience in research and analytics for GIS products. He has worked on a wide range of topics, including traffic prediction and modeling, probe data analysis, routing, and map isomorphism. In terms of education, Alex has a Master's degree in Bioinformatics from New York University, which he completed in 2018. He has also worked as a Research Scientist at the Zuse Institute Berlin, where he worked on Big Data Center applications in Computational Biology, and as a Data Engineer at Quantco. Overall, Alex is a highly skilled software engineer with a strong background in theoretical computer science and practical experience working with a variety of programming languages and tools. He is passionate about developing innovative solutions to complex problems and is always looking for new challenges.