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1 year of experience
Hi — I’m Mohammad Arsalan, a Computer Science student focused on AI/ML and building real-world systems. ICSC 2025 — Gold Honour (Top 1% worldwide). Selected projects: Face-Recognition Automatic Door (Flutter + ML) for secure access control; Air-Quality Impact Analysis (ML) for environmental monitoring; Sci-5 — web application (web development). Led the AgentPay team on lablab.ai and collaborated in global hackathons. Skilled in Flutter, React Native, Python, and ML — open to join hackathon teams and build production-ready solutions.

In traditional finance, subscriptions are easy "set and forget" actions. In crypto, they are painful—users must remember to manually sign a transaction every single month for every service. If they forget, their service gets cut off. AgentPay solves this by combining AI natural language intent with smart contract automation on the Arc L1 blockchain. Users simply type a command like "Pay Spotify $10 every month" into our AI Command Bar. Our Natural Language Processing (NLP) engine decodes this intent, and our custom Solidity smart contracts (AgentPayScheduledPayments.sol) handle the recurring execution trustlessly on-chain. We chose Arc for its low fees and native USDC support, which makes micro-subscriptions finally viable in Web3. The project features a zero-friction demo mode that auto-signs transactions to instantly visualize payment flows for users.
8 Nov 2025