Adam Nomani

Led the development and launch of an AI-driven client management platform, enhancing customer engagement and operational efficiency for small businesses.

• Led the strategic vision and technical execution for an AI-driven client management platform, streamlining client interactions and enhancing customer engagement through advanced AI technologies.
• Architected and developed a full-stack mobile application using React Native for the frontend and Node.js with PostgreSQL for the backend, ensuring seamless cross-platform functionality and robust server-side operations.
• Engineered an AI-powered scheduling assistant integrating OpenAI and Anthropic APIs, increasing booking efficiency by 60% through automated text-based appointment management.
• Implemented an AI-powered client re-engagement system, increasing client retention rates by 25% by proactively identifying and engaging inactive users.
• Managed a user base of 50+ clients, optimizing server load and providing comprehensive customer support to ensure high service availability and user satisfaction.

Developed robust data pipelines and interactive dashboards to enhance data retrieval, deployment, and decision-making for blockchain L2 bridges.

• Developed and executed data transformation functions to construct robust data pipelines, integrating blockchain data into structured datasets and improving data retrieval efficiency by 60%.
• Revolutionized data deployment for L2 bridges using advanced testing frameworks, and crafted dynamic React.js dashboards to showcase critical insights directly on the company homepage, enhancing customer engagement.
• Automated data extraction from Etherscan and GitHub using Puppeteer and OpenAI API, reducing data collection time by 80% and enhancing data accuracy for quicker decision-making.

Developed various Decentralized Finance (DeFi) projects, including insurance protocols and trading bots.

Designed, built, and maintained the club website for Penn Common Cents, managing event tracking and newsletter distribution.

A team project focused on developing and deploying predictive models to forecast customer churn within the entertainment industry.

A social networking application for University of Pennsylvania students to connect and organize group activities, including classes, clubs, and intramural sports.

Developed AI-powered chatbots for small businesses to automate website interactions and improve customer engagement.