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1 year of experience
Computer Engineering student passionate about the intersection of AI and blockchain. I’m currently focused on building autonomous 'agentic' systems that can handle real-world commerce using Gemini and USDC on the Arc network. I love diving deep into technical troubleshooting and creating systems that don't just chat, but execute

The Problem 90% of traders lose money, often not because of poor strategy, but poor psychology. "Tilt"—the emotional state of frustration after a loss—leads to irrational "revenge trading" (increasing stakes to win back losses). Current trading platforms only show P&L; they don't see the human breaking down behind the screen. The Solution Deriv Pulse. We built a "Behavioral Risk Engine" that doesn't just track numbers; it tracks user intent. It acts as a Guardian AI that sits between the trader and the market. Key Features Real-Time "Tilt" Detection: The AI monitors stake sizing, trade frequency, and time-deltas. It flags "Martingale" patterns (doubling down after losses) instantly, distinguishing between aggressive strategy and emotional gambling. The "Pulse Score": A live psychological health metric (0-100). If you trade calmly, it stays green. If you start panic-trading, it drops to red. Active Intervention: When the score hits critical levels, the "AI Coordinator" intervenes. It doesn't just show a popup; it engages a "Cool Down" protocol, temporarily locking the terminal to save the trader from themselves. Simulation Mode: For this hackathon demo, we included a "Simulation Deck" that allows judges to inject specific high-risk scenarios and see exactly how the AI responds in real-time. Why It Matters For Deriv, this isn't just a safety feature; it's a retention engine. By preventing catastrophic account blowups, we keep users in the game longer, transforming them from short-term gamblers into disciplined, long-term profitable traders. We are solving the #1 cause of customer churn: Burnout.
7 Feb 2026

FEIN: Financial Entity Intelligence Network FEIN addresses the critical "missing link" in agentic commerce: the transition from AI chatbots to true financial agents. While current agents can discuss money, they lack the reasoning to safely manage a treasury without constant oversight. FEIN solves this by integrating Google Gemini 2.5 Flash reasoning with strict, on-chain security protocols. Verified Enterprise-Grade Upgrades: Beyond our core pillars, we have successfully implemented and verified three advanced layers to make FEIN production-ready: Compliance Guardrail: Every transaction is cross-referenced against global sanctions lists (integrated with TRM Labs/Chainalysis mocks) to block sanctioned entities before execution begins. Gateway Agent Architecture: FEIN serves as a secure Treasury Gateway. Specialized corporate agents (e.g., Payroll or Procurement) can now call FEIN via API to submit intents, which are audited through our secure pipeline. Multi-Rail Failover: To ensure zero downtime, FEIN features a redundant execution path. If the primary payment rail (Circle) is unresponsive, the system automatically reroutes critical transactions via a Gnosis Safe backup. Core Infrastructure & Observability: Built on Circle Developer Controlled Wallets and the Arc Network, FEIN enforces autonomous policy enforcement (e.g., < 5.0 USDC spending limits). Our frontend visualizes the AI’s "Chain of Thought" through an Execution Timeline, providing 100% auditability and one-click cryptographic evidence for every action—ensuring the "proof never goes poof".
24 Jan 2026