Adnan Zahid

Led frontend development for platforms using React and Next.js for digital expense management, virtual card issuance, and secure payment workflows. Developed AI-enabled features for financial insights, automated expense categorization, and fraud detection by integrating ML services into product workflows. Built frontend and backend functionality for expense and payment workflows integrating APIs, PostgreSQL, and Azure cloud infrastructure. Improved performance through SSR optimization and Redis caching, and refactoring for faster user experiences. Strengthened CI/CD and testing practices and participated in code reviews and unit testing to support production releases.

Led a cross-functional team delivering SaaS CRM capabilities for lead management, sales automation, analytics, and workflow automation. Designed Python microservices using FastAPI and Django, integrating REST APIs with AWS services and PostgreSQL/Redis to support modular architecture and independent deployments. Built LLM-powered CRM assistants and Gemini agents with tool-calling workflows to qualify leads, summarize customer interactions, retrieve CRM data, and automate sales actions. Designed AI agents that interact with internal CRM APIs to update leads, create tasks, and provide analytics via conversational prompts. Established Docker-based dev workflows, Git version control, CI/CD pipelines, and automated testing; mentored developers through code reviews and coding standards.

Built Angular and Next.js frontend modules and Node.js backend services for digital banking workflows including authentication, onboarding, payments, account management, and customer dashboards. Designed API-driven workflows connecting frontend modules to backend services and third-party financial integrations, handling transactional data with MySQL and ensuring secure, authenticated operations. Collaborated with QA and DevOps to improve automated testing and CI/CD pipelines, and performed code audits and refactoring to maintain secure and stable production applications.