E
Full Stack Developer
Evgeny UTC+4
Available starting: December 22
Remote
Middle+
42.5 $/hour 6800 $/month (160 hours/month)
General Info
Role
Full Stack Developer
Grade
Middle+
Key skills
Java
AWS
Angular
MySQL
Solidity
Blockchain
Languages
- English - B2
Domains
Banking
Blockchain
Coding and Development
Delivery
EdTech & Training
Media, Content & Entertainment
Retail & E-commerce
Social Media
Software & Software Services
BIO
4+ years of experience in Frontend, Backend and DevOps. With practical experience can start a project from scratch, set up CI/CD, outline the overall architecture and get the ball rolling, playing a team lead role. Highly knowledgeable about design patterns, object-oriented programming principles, and clean and optimized code.
Has excellent communication and interpersonal skills reflected in leading a team, coaching newcomers and conducting technical training. Very enterprising, creative person and always tries to delve into the products. Highly effective in troubleshooting and keen on learning new technologies.
Type of engagement
Specialist's location
Georgia, Batumi, UTC+4
Ready for relocation
No
Partner's location
Poland 
Experience
9
(6 years 6 months)
CCTV AI application for tracking objects in real-time
Role
Full-stack developer
Description of Project
The application actively monitors large networks of cameras and tracks objects in real time throughout the scenes. Advanced trackers and AI detectors are used to maintain a track of every individual, vehicle or object to generate rich and accurate metadata unique to each object in the scene. Live-streamed cameras have certain rules which triggered events. The tracked object's shape, class, appearance, colours, speed and trajectory on a geomap (time and location) are some of the information collected. This information can be used to provide statistical information and support post-event analytics and forensic investigations.
Responsibilities
Backend development
Frontend development
Bug fixing and testing
Code refactoring
Completed tasks:
Improved the low-light facial recognition solution by integrating compatibility with IP cameras. Such a system has proven its effectiveness in crowded environments. In examination mode, the system can be configured to capture and store faces.
Created flexible searches in an existing system based on predefined parameters and images, increased productivity, opened up the potential for new applications and offering a higher degree of personalization.
Pushed logs to Kibana via rabbitMQ
Technology Stack
Java 17, Spring boot, Elasticsearch, Kibana, RabbitMQ, Docker, Jenkins, Spring Security, Websocket, Angular, JUnit5, TestNg
Period
11.2022 —
until now
(2 years 2 months)
Education
School
University
Degree
Bachelor's Degree
Field Of Study
Mathemathics
Year of graduation
2015
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