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Project Overview As a Product Manager at a fintech company, I led the development of an Early Warning Signal (EWS) Dashboard that revolutionized how we manage dealer-anchor relationships and credit risk. The project is live at Vercel App and the code is available on GitHub. The Challenge In the supply chain financing industry, managing dealer credit limits and identifying potential defaults early is crucial. Our team needed a solution that would: Provide real-time monitoring of dealer credit utilization Automate the stop supply process with proper escalations Standardize FLDG (First Loss Default Guarantee) invocation rules Create a centralized system for dealer and anchor management Key Features and Solutions Master Module Management We implemented a comprehensive master module that allows: ...

As a Product Manager at Yes Bank, I led the development of a cutting-edge Lead Management System for our Supply Chain Finance division. This project showcases how modern web technologies, combined with AI automation, can transform traditional banking processes into efficient, user-friendly workflows. Project Links: GitHub Repository: SCF Lead Management Live Demo: Vercel Deployment Project Overview The SCF Lead Management system is a comprehensive solution designed to streamline the lead handling process in supply chain finance. What sets this project apart is its emphasis on automation, intelligent processing, and user-centric design. ...

Creating a hierarchy of AI knowledge for product managers is essential for navigating the evolving landscape of AI technologies. This structured approach allows product managers to understand and implement AI tools effectively, enhancing their ability to develop innovative products. Below is a detailed exploration of this hierarchy, starting from OpenAI API integration to advanced AI evaluations. I followed the below hierarchy, exploring and creating short prototypes to understand the each milestone. ...

Building Enterprise LLM Agents: Frameworks, Strategies, and Best Practices Large Language Model (LLM) agents are transforming enterprise operations by enabling advanced language understanding, reasoning, and automation across various domains. These AI-powered systems excel in tasks like customer support, workflow automation, decision-making, and information retrieval. However, building scalable, safe, and efficient LLM agents for enterprise use is a complex challenge. Here’s a detailed guide on the frameworks, strategies, evaluation methods, and failure mitigation techniques for deploying enterprise-grade LLM agents. ...