Quantative/Full-stack Software Engineer

Volodymyr-Pavlo R

Information

Available hours \ week
40 h/w
Seniority level
Senior
Years of experience
9 yrs.
Location
Ukraine, Lviv
Nationality
Ukraine
Timezone
(GMT+02:00) Kyiv

Languages

English
Upper-Intermediate (B2)

About

Volodymyr-Pavlo specialises in Backend development with a strong emphasis on quantitative analysis and data processing. With nine years of experience, he is proficient in Python and JavaScript, utilising frameworks such as Django and React.js to build robust applications. His skills extend to GraphQL and FastAPI, enabling the creation of efficient APIs. Volodymyr-Pavlo has successfully handled complex backend architectures, focusing on system integrity, data validation, and real-time analytics across industries such as Telecommunications, E-commerce, AgriTech, and Cryptocurrency. He excels at optimising performance for data-intensive platforms, ensuring scalability and reliability in cloud environments such as AWS. In addition to core programming skills, his background includes work with databases, including PostgreSQL and Redis, as well as tools such as Docker and Selenium. The integration of machine learning and automation highlights his capability to deliver innovative solutions.

Experience

Contact center platform

Quantitative Developer

About the Project

It is a cutting-edge, cloud-native contact centre platform designed to revolutionise the way businesses interact with their customers. By prioritising simplicity, efficiency, and innovation, the platform streamlines every interaction across a variety of channels, including voice, digital, and self-service. Our solution empowers businesses to foster seamless communication and build meaning full relationships between customers and agents. The platform offers an intuitive interface that simplifies complex workflows, enhances agent productivity, and ensures customers receive personalised and timely support.

  • Telecommunications

Responsibilities

- Built and optimized backend services where correctness, latency, and data integrity matter (transferable to “live odds updates ” pipelines); - Core Functionality Development; - Worked in event-driven architecture patterns (useful for order- flow/external-data-driven updates); - Security and Data Integrity.

Voice assistant application

Full-stack Developer

About the Project

This is an application like Siri, which helps order dishes from different restaurants like Starbucks , Domino's, etc in one place using voice. Frontend part built on Next. js. The rest backend is built on NestJS and a few AWS Lambda functions created using Serverless. The system is automatically deployed using AWS services Codebuild, CodePipeline.

  • E-commerce

Responsibilities

- Development o f pro ject ' s architecture and database structure; - Website performance improvement and optimization; - Led engineering delivery and system design for a production plat form with real-time behaviour and integrations; - Building Prototypes and Proof of Concepts; - Comprehensive Documentation; - Implemented and supported testing/deployment workflows in a distributed system environment.

Data-intensive SaaS platform

Full stack Quantitative Developer

About the Project

It is a SaaS project for the internal administration of an existing business across several facilities. The plat form makes it easy to enter and view general and medical data on animals, manage clinical and behavior cases , track animal transfers, build family trees and animal connection graphs, and so on. It lets you easily view a wide range of useful real-time and historical statistics. The platform allows the generation of different types of reports (general, medical, and financial) for the entire farm, a group of animals, or a single animal. Also, it is possible to upload files from laboratories and process animals' medical indicators. This system quickly processes hundreds of thousands of records to calculate desired statistics.

  • AgriTech

Responsibilities

- Development of project ’ s architecture; - Built and maintained a platform processing hundreds o f thousands of records to compute statistics, generate charts, and produce reports; - Delivered reliable data pipelines and validations for real-time + historical analytics (a strong foundation for model validation/backtesting workflows); - Used Pytest-based testing practices to keep complex business logic correct and regression-resistant;

Web Automation AI Agent

Full-stack Developer

About the Project

Built a smart AI agent capable of performing autonomous web actions similar to a human user. The agent can open tabs, click buttons, fill out forms, extract or input data, and follow complex behaviour sequences based on user-defined instructions. It mimics browser-based interactions to automate repetitive tasks, streamline work flows, and integrate seamlessly into larger AI systems.

  • E-commerce

Responsibilities

- Development o f project ' s architecture and database structure; - Designed and developed an autonomous AI agent leveraging GPT- 4; - Ensured scalable and fault-tolerant deployment of AI components within AWS Lambda and Docker environments; - Built automation workflows with robust execution logic and reliability constraints - good baseline for deterministic checks and safety rails around pricing/risk logic;

DAO analytics platform

Full-stack developer

About the Project

It is a data analytics platform that provides ranking and analysis of the top Decentralised Autonomous Organisations (DAOs) across multiple metrics. To simplify exploration of DAOs, this platform gathers and compiles quantitative and qualitative data on DAOs.

  • Cryptocurrency

Responsibilities

- Development of project ' s architecture and database structure; - Data Aggregation and Integration; - Built analytics features and ranking/aggregation logic; - Improved performance and reliability in production; - User Management and Security;