Ajay Singh

• Designed and implemented the backend architecture for a University Attendance Management System using Node.js, Express.js, and MySQL.

• Developed complex SQL queries and stored procedures to automate attendance tracking, reporting, and exception handling.

• Integrated role-based authentication and secure login for students, faculty, and admins, ensuring controlled access to attendance data.

Tech Stack: Next.js, TypeScript, Node.js, Express, MySQL, Postman, Tailwind CSS, REST API

• Developed MentorPath, a real-time performance tracking and career guidance platform aimed at helping users improve skills and access relevant job opportunities.

• Integrated MongoDB and Firebase in the backend for real-time updates with 99% accuracy, ensuring timely and accurate performance feedback.

• Coordinated with React Native developers, delivering detailed API documentation and backend support, reducing development cycles by 35% and boosting app performance by 30%.

Tech Stack: React Native, TypeScript, Node.js, Express, MongoDB, Firebase, Postman, Tailwind CSS, REST API

• Designed and launched Giganett and Giganext websites to showcase the company's telecom products and business connectivity services.

• Integrated the PhonePe payment gateway to enable secure online transactions for selected offerings.

• Handled complete web development lifecycle, including UI/UX design, hosting, and SEO optimization.

• Maintained regular communication with the founder to iterate features, enhance performance, and address user feedback.

Tech Stack: Next.js, TypeScript, Node.js, Express, Resend, PhonePe Payment Gateway, Postman, Tailwind CSS, REST API

• Working as a Full-Stack AI Engineer on SettleMed AI™, an AI-powered claims automation platform under the Ayushman Bharat (PM-JAY) ecosystem.

• Developed end-to-end AI solutions for prescription extraction and intelligent document understanding using OCR and LLMs.

• Transformed unstructured medical and insurance documents into structured JSON for automated claim processing pipelines.

• Integrated AI/ML models into production using Node.js wrappers for seamless backend consumption.

• Built scalable backend APIs using Node.js, Express, and Sequelize, ensuring performance and reliability.

• Designed and managed PostgreSQL databases for secure insurance and claims data storage.

• Implemented Retrieval-Augmented Generation (RAG) with Vector Databases to improve contextual accuracy of AI responses.

• Ensured API reliability and data integrity using Joi validation and production-level testing with Postman.

• Supported ABHA (Ayushman Bharat Health Account) card creation and integration for seamless user identification.

• Contributed to automation that reduced manual claim processing, improved accuracy, and accelerated approvals.

Tech Stack: Python, Node.js, Express.js, PostgreSQL, Sequelize, OCR, LLMs, RAG, Vector Databases, Generative AI, Joi, Postman, REST API, Langchain , LangGraph, Research