As a Senior Software Engineer, I'm responsible for designing and developing core platform capabilities for an AI startup focused on building AI agents. Leading the architecture and development of multiple SaaS products from the ground up, including defining the frontend architecture, technology stack, and scalable development patterns. Collaborate closely with founders to transform early-stage ideas into production-ready AI tools, focusing on performance, maintainability, and modern web engineering practices.

Senior Full-Stack Software Engineer and Founder at UMOVA Software, responsible for leading architecture, development, and delivery of SaaS platforms and complex web applications. I design scalable systems, oversee frontend and backend development, and collaborate with clients and product teams to translate business ideas into production-ready solutions. My role includes system architecture, cloud infrastructure planning, technical leadership, and ensuring high standards of code quality, performance, and maintainability across projects.

I developed new features and maintained the existing codebase in a ReactJS-based

SaaS applications. Integration of various third-party tools and libraries like AgGrid,

Hoops Web Viewer, Browserstack BugCapture, TipTap Editor, and many more. Used

MobX for state management, both frontend and backend applications, was written

in TypeScript. Support of real-time collaboration feature via WebSockets. During my

work on the project, I also maintained and extended the existing API built via NodeJS

using NestJS as a framework and PostgreSQL. One of the interesting parts was the

implementation of the multi-part file upload to the AWS S3 storage feature, while

showing correct upload progress to the end users, we were able to partially upload

large files via browsers. I also developed another component of the frontend

application from scratch, an authentication webapp using Stytch. The most

challenging part was to improve the CAD files conversion process using HOOPS

Communicator tool - where we ended up creating a container-based AWS Lambda

function, which provided us with reliable code to run in parallel to reduce execution time

for large files and scale to many simultaneous conversions. I got familiar with EC2 &

GCP VM instances for remote development.