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Schedule Interview NowMy name is Dmytro K. and I have over 11 years of experience in the tech industry. I specialize in the following technologies: React, React Native, TypeScript, JavaScript, PostgreSQL, etc.. I hold a degree in Master of Engineering (MEng). Some of the notable projects I’ve worked on include: Medical Courier Delivery Platform (Web / Mobile / API / Real-time), AI-powered Stock Market Investment app (Mobile / API), AI-powered Assistant for Dream Home Search (Mobile / API). I am based in Lviv, Ukraine. I've successfully completed 3 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
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11 years
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MobiDev
We recently built a complex delivery platform made up of three interconnected apps: a logistics app for fleet management and delivery coordination, an Organization Profile for placing orders and managing clients, and a Driver App with route navigation, status updates, and real-time communication. The system includes real-time tracking, smart dispatching, and integrated payments — many of the same features found in ride-hailing platforms. Tech Stack: React Native, Nest.js, PostgreSQL Case Study here: https://bit.ly/cgs-cargo-
Lazer is an AI-based investment app designed to help users without a financial background make informed investment decisions. The app acts as a personal advisor, alerting users when it's a good time to buy or sell stocks based on algorithm-driven insights. Our main goal is customer success. Thus, we took care of time to market minimization while delivering high quality code. A combination of Agile & Rapid Development approaches make us fast, efficient and flexible! Project`s tech stack: React Native, Highcharts, Nest.js, MongoDB, AWS (Cognito, ECS, S3)
Nia is an AI-powered real estate assistant designed to simplify and personalize the home-buying journey. It uses machine learning to analyze user preferences and provide tailored property recommendations based on budget, location, and lifestyle needs. With a conversational AI interface, users can interact naturally, save searches, schedule viewings, and connect with agents seamlessly. Beyond traditional filters, Nia offers insights into neighborhood suitability, market trends, and budgeting, making the search process more intuitive and efficient. Case Study here: https://bit.ly/cgs-nia
Master of Engineering (MEng) in Computer engineering
2008-01-01-2013-01-01