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Oleksii K. React, Node and Cloud Platforms

My name is Oleksii K. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: JavaScript, GitHub, Docker, Google Cloud Platform, React, etc.. Some of the notable projects I’ve worked on include: Delab Scientific Multitool – Smart Web Platform, Evercity Multitool – Redefining Business Efficiency, Portfolio Website – A Dynamic Showcase of My Work Experiances, AI-Lens for Ryght.ai, Backend Request Flow App – Ryght.ai Testing Task, etc.. I am based in Sumi, Ukraine. I've successfully completed 6 projects while developing at Softaims.

Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.

My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.

I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.

Main technologies

  • React, Node and Cloud Platforms

    1 year

  • JavaScript

    1 Year

  • GitHub

    1 Year

  • Docker

    1 Year

Direct hire

Potentially possible

Previous Company

Luxoft

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Experience Highlights

Delab Scientific Multitool – Smart Web Platform

Delab Scientific Multitool – Smart Web Platform for Electrical Systems At Delab Scientific, I developed a multitool web interface to enhance monitoring, data visualization, and product exploration for electrical protection systems. 🔹 Key Features: • Monitoring Dashboard for real-time electrical data. • Interactive Product Catalog with categorized equipment. • Dynamic Reporting System for historical analysis. • Optimized UI for large datasets. • API integration for real-time data transmission. 🚀 Built with React, TypeScript, REST API, and WebSockets.

Evercity Multitool – Redefining Business Efficiency

Evercity Multitool – Smart Automation for Business Efficiency At Evercity, I developed a multitool platform that streamlines communication, compliance, and analytics, helping businesses operate more efficiently. 🔹 Key Features: • Reusable UI Kit for a unified interface. • Discussion System for seamless collaboration. • Automated EU Compliance Reports to eliminate manual work. • EU Taxonomy Validation via webhooks. • Admin Panel & Knowledge Base for workflow management. • Real-time Dashboards for data-driven decision-making. 🚀 Built with React, JavaScript, REST API, and WebSockets.

Portfolio Website – A Dynamic Showcase of My Work Experiances

Portfolio Website This portfolio is more than a resume—it’s an interactive platform showcasing my career, skills, and technical expertise. 🔹 Experience & Tech Stack – Displays my work history, technologies (React, TypeScript, REST API, WebSockets), and employer links. 🔹 Resume & Contact – View/download my CV (PDF) or contact me instantly. 🔹 Vessel Tracking System – A real-time gallery of ships I worked on, with live location updates via WebSockets & AppSocket. 🔹 GitHub Integration – Auto-updates project code via REST API. Built with React, Node.js, SQLite, and hosted on Vercel & Render.

AI-Lens for Ryght.ai

AI-Powered PDF Explanation Interface As part of a ryght.ai challenge, I built an AI-driven tool to simplify complex documents. Users can click on any page of a PDF to see a real-time AI-generated explanation as an overlay. 🔹 How It Works: • Renders the PDF and extracts pages as images. • Sends the image to ChatGPT via API for analysis. • Displays an AI-generated explanation without modifying the original content. 🚀 Built with React, TypeScript, AI APIs, and deployed on Vercel. 🔗 GitHub: github.com/0leks11/AI-Lans

Backend Request Flow App – Ryght.ai Testing Task

Backend Request Flow App – Ryght.ai Testing Task This frontend-driven platform was built for Ryght.ai to handle structured parent-child organization requests. 🔹 Key Features: • Users select organizations and send structured requests. • A chat component links queries to organizations before submission. • API requests follow Swagger documentation for consistency. • Mock responses simulate backend behavior in the test environment. 🚀 Built with React, TypeScript, React Flow, and Swagger-based API handling.

Languages

  • English
  • Russian
  • Ukrainian

Personal Accounts