Vitalii – Figma, UI/UX

A No-Code Database Management System (DBMS) designed to democratize data management for the warehouse management. This project replaces rigid legacy Warehouse Management Systems (WMS) by allowing non-technical managers to build custom data schemas visually.

• Visual Schema Construction: Designed a high-flexibility interface that empowers users to define Entities and Relations visually
• Ontological Framework: Applied an Ontological Framework to architect a flexible data ecosystem. This ensured that the UI could handle dynamic entity configuration and complex relational modeling while maintaining data integrity.
• Validation: Utilized GOMS efficiency metrics and Heatmapping to optimize the Relation Profile workflow.
• Global Scalability: Architected a modular system capable of handling multi-language localization and property sequencing, supporting global warehouse operations.

An automotive marketplace featuring a multi-account management system and an interactive calendar. The platform serves as a unified hub for dealers to participate in multiple auctions simultaneously while managing complex logistics and documentation.

• Multi-Context Experience: Architected a custom internal browser and multi-tab interface, enabling seamless switching between simultaneous auctions without losing context
• Unified Admin Ecosystem: Developed a complex Admin Panel that hybridizes CMS and CRM functionalities.
• Strategic Feature Development: Conducted direct stakeholder and user interviews to identify gaps in the bidding workflow. Proactively proposed and implemented new features

A specialized logistics platform for tracking vehicle shipments from auction lots to final delivery. The system handles massive datasets required for both logistical routing and financial decision-making, operating under strict industry compliance standards.

• Progressive Disclosure Strategy: Implemented a strict progressive disclosure mechanism that reveals data fields and decision points only when relevant to the current shipment stage
• Scenario Convergence: Merged fragmented logistical and financial workflows into unified scenarios. This reduced context switching and clarified the causal relationship between data
• Compliance-First Design: Embedded compliance checks directly into the user flow, using visual cues to guide users through mandatory regulatory steps without friction.

A specialized collaborative tool designed for a business problem-solving framework. The platform facilitates the validation, documentation, and resolution of complex business issues, supported by a comprehensive Admin Panel with integrated Tech Support and ticketing systems.

• Ontology-Driven Validation: Constructed a detailed User Mental Model and mapped out user scenarios. Used this framework to conduct a comparative analysis against the client's original idea
• Data Aggregation Modeling: Went beyond interface design by proposing a model for data calculation and aggregation. This ensured the dashboards provided actionable insights rather than displaying raw metrics.
• Strategic Pivot: Successfully persuaded the client (a Data Scientist) to adopt the new architectural approach on root cause data analysis model for dashboard through evidence-based argumentation
• Workflow Design: Architected the core collaboration flows and the extensive Admin/Support ecosystem,

A holistic Learning Management System (LMS) designed to bridge the gap between traditional education and digital workflows. The platform unifies Teachers, Students, Parents, Psychologists, and Administrators into a single ecosystem, featuring video conferencing, real-time chat, payment processing, and advanced performance analyticsю

• Multi-Role Ecosystem Design: Architected tailored user journeys for each persona ensuring seamless interoperability
• Compliance-Driven UX: Translated rigid government regulations into user-friendly digital workflows
• Accessibility & Adoption: Focused on lowering the barrier to entry for non-technical users ("paper-to-digital" transition)
• Feature-Rich Integration: Designed a cohesive UI that integrates diverse functionalities—from custom course builders and grade analytics to secure psychological support chats and financial modules

A comprehensive Command Center for industrial farming that centralizes fragmented AgTech data. The system integrates AI-analyzed drone imagery, tractor-mounted IoT sensors, and real-time environmental logs to optimize pesticide spraying and machinery health.

• Ontological Relationship Mapping: Mapped the complex agricultural ontology, connecting hardware sensors, AI analysis, and field-worker activities
• Cognitive Load Optimization: Applied GOMS efficiency metrics and Scenario Convergence Analysis to design high-impact pathways
• Multi-Level Information Architecture: Architected a hierarchical data display that serves distinct personas simultaneously
• Systematic Engineering: Creating a Global Design System with tokenized scalability, ensuring consistency across the platform's rapid expansion

A machine-learning-driven platform that connects researchers with relevant funding opportunities. The system utilizes collaborative filtering to match user profiles with grants and calculates the probability of success based on historical data comparison.

• Explainable AI Design: Designed the success probability visualization to be intuitive yet honest, helping researchers make informed decisions about where to invest their application efforts
• Customizable Recommendation Engine: Created a tuning interface that allows users to manually adjust the weights of the recommendation algorithm giving them control over the black box of AI
• High-Volume Data Filtering: Architected a flexible search and navigation system capable of handling massive datasets of grants without performance degradation or cognitive overload
• Frictionless Onboarding: Designed a progressive profiling flow that gathers essential data for the ML model incrementally, minimizing the barrier to entry for new users