Position: Software Architect / Senior Engineer
Category: Scala
English level: fluent
Years of experience: 10

Additional Education
2011 – American English Center – English level – Advanced.
2015 – Agile ambassador education course from Agile manifesto creators.
2016 – Machine Learning course. Stanford University. 
2016 – Advanced Spark course, Coursera.
2016 – Deep Learning course. Stanford University.
2017 – Computer Vision Advanced course. Udacity.
2018 – Face Recognition Systems course, Udacity.

Awards:
2015 – Winner of China global Shenzhen Hackathon.
2015 – Winner of EPAM China Hackathon.
2015 – Winner Hong Kong UBS Hackathon.
2016 – Significant Effort to Successful Release Award (EMC)
2016 – Silver Award of the year, influencer (EMC)
2016 – Shanghai International Big Data Hackathon in Code bunker. (Everyone was winners, since no prizes)
2018 – Nike Influence award for implementing face recognition payment system.
2018 – Nike Influence award for implementing TMALL Nike membership program.
2019 – Nike Influence award for bringing multiple ML driving projects into living.
2020 – Nike International GC Hackathon organizer.
2021 – Alibaba Logistics International talent recognition.
—2021 January – Now – 
           Company: ALIBABA
           Position: Software Architect.
           Project:  Cainiao Logistics, International Department.
Project Description: 
The architecture of new international logistics solutions.
Design and implementation of Logistic optimization ML pipelines.
Managing mixed (Chinese and European) team of RnD software engineers (5 people as for now).
Improving Core system key metrics with new technological advancements.
Overall daily job is listening to all the customer's or stakeholders' business requirements, designing a solution for it, and in tight cooperation with Alibaba (Internal Core teams and my own team) provide the best possible implementation in the shortest terms.

—2017 September – 2021 January– 
           Company: NIKE
           Position: Big Data/ML Tech Lead (Architect)
           Project:  Nike Digital Commerce Integrity
Project Description: 
Integrating most famous Chinese e-commerce giants into Nike infrastructure. 
Perfect knowledge of internal WHQ Data lake infrastructure (NGAP) and upcoming GC data lake.
Data cleaning, data mining, creating deep learning model to predict customers participation in Nike events, customer preferences in sports, and ability to buy new products.
Creating various Nike microservices API - both commercial and technical purpose,
Leading a team of Nike FTE and vendors (Thoughtworks, Deloitte, etc.) (3-8 people).
Implementing shoe classification and shoe object recognition pipelines to analyze offline store traffic.
Implementing/Architecting Nike API Fraud detection system. 
Implementing Launch Demand Prediction Pipeline. 
Implementing/Architecting Nike Cloud services anomalies detection ML pipeline.

- More Exp in CV...