Nawras Boqiev

is researching.

Bis 2019, Computer Vision Engineer, Intersvyaz
Tbilisi, Georgia

Skills

Computer Science
Machine Learning
Deep Learning
Computer Vision
Python
PyTorch
OpenCV
SQL
Bash
Docker
Git
Pytest
Starlette
Communication skills
Team work
Reliability
Commitment
Fast learner
Engineering

Timeline

Professional experience for Nawras Boqiev

  • Current 5 years and 4 months, since Jan 2021

    Computer Vision Engineer

    Buissines Technologies

    Accomplishments: - improved a model for door detection by 10% - built multitask model for floorplan segmentation and joint detection with 85% IoU and 88% f1 of joints - developed generators of synthetic floorplans and architectural symbols, which resulted in an improvement of 18% to 69% for different models - organized the floorplan annotation process, new data allowed to increase the IoU by 8% Overall, my work has allowed estimators to achieve 50-90% time savings on takeoffs

  • 1 year and 8 months, May 2018 - Dec 2019

    Computer Vision Engineer

    Intersvyaz

    Accomplishments: - developed an algorithm that detects free parking spaces and is resistant to non-compliance with markings - developed a free parking space verification system based on classic approaches to reduce FPs by 15% - developed a car monitoring module - developed data collection/annotation pipeline to create a dataset - built model for car segmentation with 93% mAP - developed back-end that served 100 cameras - developed a skill for Voice Assistant as an interface

Educational background for Nawras Boqiev

  • 4 years and 5 months, 2015 - May 2019

    Computer Science and Engineering

    Chelyabinsk State University

Languages

  • Russian

    C1 (Fluent)

  • Pamirian

    C2 (Expert / native speaker)

  • Tajik

    A1-A2 (Basic)

  • English

    C1 (Fluent)

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