Position: AI Technology Architect | ML Architect | Python Architect
Category: Lead
English level: upper
Years of experience: 11

A lot of unique solutions under NDA, patent, 70 scientific publications, some times European winner in innovation contests, hackathons and Second step: top 100 in startup contest from Nvidia
AI Technology Architect / Dec 2017 - present
• Designed the technological architecture of the large scale distributed AI cloud applications (“Virtual Agent Hub”, “Extra designer: Business developer”, “Patient Health's Anomaly Detector”, “PPE and Environment Safety Monitoring”, “Hurricane Orchestration Assembler”, “Fashion advisory” and others), implemented some CI/CD workflow whereas Kafka, Docker, Kubernetes, Travis CI, AWS (Elastic Beanstalk, EKS)
• Programmed the multi processes and multi-threaded logic for Web services, pipelines (ML: whereas AWS Glue ETL, Redshift and Apache Spark for trends detection tasks; NLP: for texts processing and summarization; CV: live video streams with AI models for object detection tasks) and structural streaming for violation detection and violation tracking for “PPE and Environment Safety Monitoring” by Apache Spark (SQL, DataFrame) on Hadoop cluster in AWS EMR
• Executing of the requirement analysis, market investigation, solution design, product/project preparation, innovation lead responsibilities
• Investigated and expertized the innovative ideas, new technological options in AI (DL, RL), Conversational AI, Mind AI, Supply Chain Optimization, Blockchain, Quantum Machine Learning and vendor products

AI Software Engineer Team Lead	/ Feb 2015 - Nov 2017
• Designed architecture and solutions for self-taught search services involving AI (MLlib, PySpark), Elasticsearch, MongoDB, OrientDB and Big Data (Hadoop, Map Reduce, Hive) capabilities
• Programmed the NLP/NLU core with sentiment analysis for Chat-Bot systems and AI Advisors, CEP with Supply Chain Optimization task for Delivery advisor purposes, NLP pipelines whereas Apache Spark
• Investigated new scientific and technological options in AI (ML / DL) for NLP / NLU, search engines and a Big Data orchestrations

Machine Learning Engineer / Jun 2009 - Jan 2015
Research And Development Scientist / Nov 2000 - Dec 2013
Don't want to do front-end part