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Schedule Interview NowMy name is Just Doing L. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: React, React Native, TypeScript, JavaScript, HTML5, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: CubeFund, Traction Eye. I am based in Dnipro, Ukraine. I've successfully completed 2 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
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CubeFund is a crypto-focused financial dashboard that helps users analyze, simulate, and forecast profits based on real-time market data. The platform includes dynamic charts for token prices, interactive profit calculators with adjustable interest rates, and customizable timeframes. Users can visualize both raw savings and compound profit growth over time. - Implementation of dynamic React components. - Worked with Bybit exchange API, TON blockchain API for database interaction. - Supabase integration for database. - Considered client feedback and vision for the final result.
Traction Eye is a Web3 application integrated with Telegram, designed for investment analytics and decentralized trading. The platform provides Profit and Loss tracking, referral-based squad mechanics, and a unique model that connects users with top-performing OG traders. Instead of following trades manually, users invest in traders directly and share in their profits. With over 20,000 users, Traction Eye redefines community-driven DeFi trading by turning groups into efficient trading funds.
Bachelor of Computer Science (BCompSc) in Computer science
2020-01-01-2025-01-01