Nilay Chugh

Passionate about building intelligent systems at the intersection of AI, Blockchain, and Cybersecurity, I specialize in designing scalable, secure, and automation-driven solutions. I’ve built: AI agents for fraud detection, compliance monitoring, audit trail automation, expense policy enforcement, and anomaly detection using LLMs, CNNs, and RAG pipelines. Blockchain-based platforms on Ethereum and Polygon, including document verification systems, secure online examination frameworks, and decentralized adoption/tracking solutions using IPFS and Solidity. Cloud-native backends with AWS Lambda, API Gateway, DynamoDB, and CloudWatch, alongside AI integrations with Azure Document Intelligence. My applied AI projects include traffic management systems with YOLOv5 and CNNs, and conversational assistants tailored for specific domains. I also developed a RAG-based tax chatbot that helps users identify the most suitable ITR form for them, making tax filing more accessible and intelligent. Also I have worked on building automation ai agents using Selenium which takes resumes and fills relevant profile details on various job boards selected by the user. Currently, I’m focused on enterprise-grade AI agents in finance—working on accounts payable automation, compliance enforcement, and fraud detection systems designed to perform reliably at scale. I thrive on building end-to-end systems—from ideation and architecture to building useful and scalable AI Agents, backend design, deployment, and scaling. Alongside this, I contribute actively to open-source projects, sharing tools, integrations, and frameworks that strengthen the developer ecosystem.