
2
2
India
2+ years of experience
Hi, I’m Kaushal I am a passionate Computer Science student with a strong curiosity for technology and problem-solving. Currently, I’m exploring Artificial Intelligence & Machine Learning, Development, and Cybersecurity, while continuously building projects to sharpen my skills. 💡 I love experimenting with new tools and frameworks. 🌱 Always learning and open to collaborations. 🎯 Goal: To contribute to impactful, real-world tech solutions.

AutoOps is a fully autonomous financial operations platform designed to automate invoice processing, policy enforcement, and USDC payments using Circle’s Arc L1, Circle Payment APIs, and a multi‑system architecture. Our system consists of four coordinated components: AI Agent (Decision Engine): A deterministic rules-based agent evaluates invoices against company financial policies. It outputs strict, structured JSON decisions (APPROVE, NEGOTIATE, REJECT), ensuring zero‑hallucination financial logic and enforcing a finance‑first, risk‑averse approach. Frontend Dashboard: A production‑ready UI built for finance teams to upload invoices, view decisions, track vendors, and monitor transactions in real time. Users can view invoice history, agent decisions, and blockchain transaction receipts from Arc. Blockchain & Payments Layer: Smart contracts deployed on Circle’s Arc Testnet manage vendors, invoices, and fund release. The backend integrates Circle’s Wallets API and Payments API to create wallets, initiate USDC transfers, and confirm settlements. Contracts include: VendorRegistry InvoiceManager USDC handling + escrow lifecycle Backend + Supabase Integration: A unified FastAPI/Node backend orchestrates: Agent → Contract → Circle API workflows Supabase logging for audit trails Webhooks for payment status updates Secure routing between systems 1–3 Together, AutoOps automates the entire finance operations pipeline—from invoice upload to blockchain‑settled payment—without human intervention. The system is built for scalability, enterprise reliability, and real‑world financial auditability.
24 Jan 2026

AI Crisis Coordinator is an intelligent, agentic AI system built using IBM watsonx Orchestrate that helps organizations manage emergencies with speed and accuracy. The agent continuously monitors multiple data sources such as alerts, reports, emails, sensors, and dashboards to automatically detect potential crises. Once a risk is identified, the agent evaluates severity, gathers relevant context, and triggers predefined workflows. It can notify teams, assign tasks, generate incident reports, escalate issues, and support decision-making in real time. The goal is to reduce human bottlenecks, improve coordination, and ensure faster crisis response by combining automation, integrations, and AI-driven analysis within a single orchestrated system.
23 Nov 2025