Anish Kumar Pandey

Leading engineering across all client, internal, and SaaS products, including flagship platforms like aNquest CRM and aNquestPlus CRM,

serving thousands of active users Owning end-to-end system architecture including backend services, frontend applications, database design, and API integrations Managing production infrastructure on DigitalOcean Droplets, handling deployment, server configuration, monitoring, and uptime optimization Building and integrating AI/LLM-driven automation across multiple products to streamline workflows and enhance operational efficiency Implementing performance optimizations, caching strategies, and scalable backend architecture to support high concurrent usage across systems Leading and mentoring a team of developers, driving high code quality, faster delivery cycles, and strong engineering practices

Led AI/LLM integration projects, designing and deploying intelligent features using LLMs to automate workflows and enhance user experience Built and deployed modern web applications using Supabase, Firebase, ChromaDB, and Shadcn/UI, ensuring scalability and performance in production environments Engineered AI-powered automation systems, improving operational efficiency and reducing manual intervention through intelligent decision-making workflows Independently developed and delivered multiple full-stack applications using React.js, Next.js, Node.js, React Native, Flutter, FastAPI,

handling end-to-end architecture, API design, and database management Collaborated in Agile teams on large-scale systems, contributing to feature design, code reviews, and high-quality production releases

Co-led development of the RideBuddy cross-platform mobile application, ensuring 100% on-time delivery during critical production releases Developed and deployed core features using React Native, Node.js, Express.js, including real-time geolocation tracking, payment gateway integration, and face verification systems Optimized application performance, achieving 40% reduction in load time and 60% decrease in crash rates in production environments Contributed to scalable backend services and API design, supporting reliable performance under concurrent user activity Worked closely with product and design teams to translate business requirements into high-quality, production-ready features