Position: Manual QA Engineer
Category: QA
English level: intermediate
Years of experience: 5

EDUCATION:
- NTUU ”SIKORSKY KIEV POLITECNICAL INSTITUTE”, UKRAINE
MASTER DEGREE (2018)
TELECOMMUNICATIONS AND RADIO ENGINEERING

- NTUU ”KIEV POLITECNICAL INSTITUTE”, UKRAINE
BACHELOR (2016)
DESIGNING ELECTRONIC COMPUTING EQUIPMENT

TRAINING:
09.2014 – 12.2014:Took a Course “Altera. Quartus II. Basic course” , “Introduction to Verilog”, NTUU “KPI”
WORK EXPERIENCE: 
- QA IMAGE PROCESSING  (04.2014 – 02.2019 )
- TEAM LEAD (02.2019 – NOW)

PROJECT DESCRIPTION: 
- VEHICLE LICENSE PLATES RECOGNITION
- MAKE\MODEL RECOGNITION
- VEHICLE COLOR RECOGNITION

RESPONSIBILITIES:
- PROCESSING IMAGES AND VIDEOS 
- CREATING TASKS FOR OUTSOURCE WORKERS
- SETTING TASKS FOR DEVELOPERS
- REGRESSION TESTING
- CREATING/PREPARING TRAINING DATASETS FOR MACHINE LEARNING PIPELINES
- OBTAINING AND ANALYZING INFORMATION ABOUT NEW LICENSE PLATES TYPES 
- FINDING BUGs AND REPORTING
- QALITY ANALYTICS OF COMPETITIVE PRODUCTS
- CUSTOMER SUPPORT IN CASE OF RECOGNITION QUALITY ISSUES
- MODIFYING HOMEBREW AUTOMATION TOOLS IN PYTHON/BAT
- PERFORMANCE TESTING
Product company. Small team. Ready for unlimited worktime.
Games Project or Machine learning will be cool.