Oleg Mygryn
About
Oleg Mygryn is from Ukraine. Oleg is currently Technical Director at AI TOPPRODUCTS, located in Kyiv. Oleg also works as Chief Technology Officer at AI EdgeLabs, a job Oleg has held since Jul 2021. Another title Oleg currently holds is CTO at Scalarr. In Oleg's previous role as a CISO at Dysnix, Oleg worked in Kyiv until Feb 2022. Prior to joining Dysnix, Oleg was a Lead of Development at Scalarr and held the position of Lead of Development. Prior to that, Oleg was a Founder at Predicty.AI, based in Kyiv from Nov 2016 to May 2018. Oleg started working as Senior Data Scientist at InterCloud Systems Inc. in Oct 2015. From Mar 2015 to Sep 2015, Oleg was Software Consultant at Itera Consulting, based in Oslo Area, Norway. Prior to that, Oleg was a Senior Software Developer at Yandex, based in Ukraine from Oct 2014 to Mar 2015. Oleg started working as Senior Software Engineer at Sprinklr in Ukraine in Jan 2012.
Oleg Mygryn can be found on Finalscout.com, where members can access Oleg Mygryn's email for free. Finalscout is a professional database with more than 500 million business professional profiles and 200 million company profiles.
Oleg Mygryn's current jobs
Engineering and consultancy of the AI products
Responsible for building EdgeLabs.AI information and data security product that combines Threat Intelligence with AI-based algorithms. Main duty is the product leadership and managing DEV, AI and R&D teams. Research and integration algorithms for Ransomware, DDoS, Botnets detection on the EDGE, MEC/5G envs. One of the research directions is the problem of protection OT/IIoT and SCADA networks.
Responsible for building EdgeLabs.AI information and data security product that combines Threat Intelligence with AI-based algorithms. Main duty is the product leadership and managing Dev, AI and R&D teams. Research and integration algorithms for Ransomware, DDoS, Botnets detection on the EDGE, MEC/5G envs. One of the research directions is the problem of protection OT/IIoT and SCADA networks.
Oleg Mygryn's past jobs
I'm leading engineering Team that builds fraud-detection platform for the Mobile applications based on ML Algorithms. Supporting and coordinating Dev, DevOps and Data Science Team divisions. Defining technical and technologic direction of a product and removing any roadblocks that prevent us from succeeding. - Dev Team coordination and feature planning with Product Team - Acting as a Scrum Master - Interviewing candidates and work with HR - Large-Scale System design and optmimization - Integration ML Algorithms into production + scaling them over BigData frameworks - BigData & Frameworks maintanance: ClickHouse, Apache Spark, Hadoop, Kafka - Programming: Scala/Python/Bash
Founder and architect of the universal ML platform for LTV Prediction, Customer Churn and Stocks trading. The platform helps in building Machine Learning-based models for different business cases. - Business idea generation and Pitching investors and clients - Engineering annd Architecture of the BigData and ML Automation framework - Hypothesis Testing in Finance, Crypto-Trading, RNN, Deep Learning, Social Monitoring - Technology Stack: Apache Spark, PredictionIO, AWS, Scala, Java, Docker - Data Science: RNN and MLP, Jupyter, Spark ML, NumPy, Tensorflow, Keras
I am responsible for the the analytics module of the NFVGrid platform. NFVGrid Analytics module processes the captured packets using BigData architecture like Spark and utilising deterministic and self-learning methods provides to its customers a variety of statistical and analytical information including traffic patterns (micro and macro), anomalies detection, intrusion prevention. As well analytics module provides network topology state discovering, alarm correlation using graph of the discovered topology and reconciliation engine between different systems. Responsibilities: - Network anomaly detection for the virtual networks and clusters; - Implementing realtime and scalable system for the processing realtime traffic data; - Research and applying algorithms for the anomaly detection and prediction; Technologies: Scala/Java, Spark, Spark ML, C/C++, Hadoop/YARN, OpenStack, Cassandra
Consulting services for enterprise scope
Engineering and development solutions for high-loaded media project.
Implemented solutions for the BigData analytics. One of the main duties were data-collection from Social Networks and scaling collected data into our clusters Technologies: Groovy/Grails, Java, Apache Storm, Hadoop (Pig, Hive, Oozie), Apache Cassandra
- Development of the encrypted data channels (J2SSE, bouncy-castle, TLS, SIPS and TLS); - Google App Engine and NoSql (Bigtable); - Groovy\Grails, YUI , Tomcat developement; - IBM WebSphere 7.0 developement and configuring cluster for SIP server; - Episodic: Hibernate, SIP,Hadoop, JPA, Java Script, CSS.