Experience
Back-end Developer
August 2021 - Present
Back-end Developer, Admiral Studios
March 2021 - August 2021
Back-end Developer, WINC
March 2019 - February 2021
Projects
Back-end development
August 2022 - Present
Description:An international weather content and technology company that owns and operates the weather brands The Weather Network, MétéoMédia, Eltiempo.es, Clima, and Otempo.pt. Through constant innovation and entrepreneurship, Pelmorex has grown to reach consumers around the globe, has become one of the largest weather information providers, and has broken new ground in providing data solutions and business insights to businesses. Through harnessing the value of weather, Pelmorex is driven to make the world smarter and safer for consumers and businesses.
Responsibilities:
- support and distribution to the service code,
- service testing,
- setting up CI/CD,
- junior mentoring on projects,
- communication with the product in order to help us, set up tickets and
propagate the road map, - communication with the distributors of other teams for the promotion of
integration and additional assistance in the development of nutrition
Technologies:Typescript, Python, Go, Docker, AWS, ElasticSearch, Kibana, Terraform
Full-stack development
February 2022 – August 2022
Description:Integration of an application into Webex
Responsibilities:
- Designing and developing a Webex App by integrating with existing APIs.
- Designing database scheme, and implementing business logic on the front end.
- Working alongside QA and Design teams, improving user journeys and
discussing new features.
Technologies:JS, Vue.js, Node.js, Express.js, Webex SDK, Docker, MySQL
Back-end development, Fintech personal application with real-time analytics
August 2021 – January 2022
Description:Â The project was an application for creating an investment portfolio, that includes news, market analysis, and portfolio analytics. On this project, my responsibilities were: implementing requests from the client (new functionality, graphics, etc.), maintaining documentation, writing tests, queries to the database, and connecting the 3rd party API.
Technologies:Node.js, Express.js, MongoDB, Docker
Back-end development, E-commerce platform with monitoring, analytics
May 2021 – July 2021
Description:The project was an application for creating an online store, including a constructor
of goods, and categories, tracking the status of current orders and promotions along the funnel, analytics for goods, etc. On this project, my responsibilities were: writing new functionality, tests, setting up a mail server, the format of logs, analyzing logs, and monitoring backend
Technologies: Node.js, Nest.js, Postgres, Docker, Grafana, Loki
Back-end development, Rubik's cube
March 2021 – May 2021
Description:The web version of the Rubik's cube, includes the functionality of shuffling, the automatic solution, and self-solution.
Technologies:Node.js, Express.js, Three.js, HTML, CSS
Back-end development, Web chat
June 2020 – February 2021
Description:Â Private web chat, which includes the creation of a chat with a deadline for deletion, the ability to reply to messages, delete messages, delete chat, and notifications. Works on public key encryption when creating a chat.
Technologies: Node.js, Express.js, MongoDB, Socket.io, Crypto Module, HTML, CSS
Back-end development, Foto filters
February 2020 – June 2020
Description: Application for applying photo filters, includes a certain set of basic filters (for example, Gaussian, curved mirror).
Technologies:Node.js, Express.js, C#, OpenCV, Python, Postgres, Docker
Back-end development, Planning app
September 2019 – January 2020
Description:Â An application for scheduling tasks includes the functionality of managing tasks and goals, shows various statistics, awards for achieving goals, and the ability to share with friends, has a growth tree that grows with the number of tasks completed. The application was made in a group, IOS was the client.
Technologies: Node.js, Express.js, Firestore, GCP, Docker
Back-end development, Voice recognition app
March 2019 – September 2019
Description:Â Neural network for voice recognition, trained on a 24-hour set date, recognition accuracy of 76%. Part of the job was to carry out various attacks on the system to record the decrease in recognition accuracy. Methods of protection against corrupted data are considered and applied. The training was carried out in the cloud.
Technologies: Python, Keras, Bash scripts, Docker, Digital Ocean
Education:
Degree in Software Engineering, The National University of Kyiv-Mohylyanska Academy
Upstaffer since August, 2023
