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Rodica Va@RodiV
2
Events attended
2
Submissions made
Canada
10+ years of experience
About me
Full Stack Developer with expertise in Microsoft technologies, AI-driven solutions, and cloud platforms. Proficient in the full software development life cycle, including ASP.NET, C#, MVC, SQL, Angular, Python, Web APIs, and Azure DevOps. Certified in NLP and Intelligent Document Processing. Active participant in global Microsoft hackathons (team winner 3rd place Dec 2024), passionate about continuous learning—and always open to connecting with like-minded teammates for collaborative and innovative projects.
🤓 Latest Submissions
Multi-agent AI trading platform
This project is an autonomous AI trading platform that integrates ERC-8004 agent identity with Kraken CLI-based trade execution to enable trustless, explainable financial automation. The system uses a multi-agent architecture composed of Market, Risk, and Execution agents coordinated by an orchestrator. Each agent operates independently, analyzing real-time market data, validating risk constraints, and executing trades through a programmatic Kraken CLI interface. Agents are registered in an ERC-8004 registry with identity, attestations, and dynamic reputation scores. Before any trade is executed, the system performs a full validation pipeline including identity verification, reputation checks, and risk rule enforcement. AI-generated reasoning (via Gemini 2.5 Flash) provides transparent explanations for every decision. The platform delivers a complete end-to-end flow: trade intent → agent validation → market analysis → risk assessment → execution → audit logging → reputation updates. A leaderboard ranks agents based on performance, enabling a competitive, trust-driven ecosystem. Key innovations include combining decentralized trust (ERC-8004) with centralized exchange execution (Kraken CLI), explainable AI decision-making, and a production-ready multi-agent architecture. The system demonstrates real-world applicability for autonomous trading, portfolio management, and financial agent ecosystems.
12 Apr 2026
WedPlanAI Smart Wedding Planner
The Wedding AI Planner is an agent-orchestrated planning assistant designed to simplify the complexity of wedding organization through modular, context-aware AI agents. Wedding planning involves multiple interdependent tasks—budgeting, scheduling, vendor coordination, theme selection, and risk management—which makes it an ideal use case for an agentic system rather than a single monolithic model. The application uses a conversational interface to gather user preferences, constraints, and priorities. These inputs are routed through an orchestration layer that coordinates specialized agents, each responsible for a distinct planning domain. Core agents include a Planning Agent for timeline and task sequencing, a Budget Agent for cost allocation and savings strategies, a Theme Agent for aesthetic and cultural alignment, and a Risk Agent that generates contingency plans for last-minute changes. Agent orchestration enables the system to dynamically delegate tasks, share context between agents, and reconcile outputs into a coherent, personalized wedding plan. This approach allows the system to adapt as user inputs evolve, providing structured guidance rather than static recommendations. The project demonstrates how orchestrated AI agents can collaborate to deliver real-world value in consumer services. By combining modular intelligence, conversational interaction, and domain-specific reasoning, the Wedding AI Planner illustrates a scalable foundation for agent-based applications that augment human expertise, reduce planning friction, and improve decision-making quality. The project AI wedding planner simplifies and automates every step of wedding planning, saving couples time and reducing stress. It adapts to user preferences, runs locally, and provides intelligent, personalized recommendations—making complex planning easy, fast, and practical
25 Jan 2026
