Divyanshu Kumar

I’m a Software Engineer with experience building scalable apps across frontend, backend, and AI-driven systems. I develop end-to-end solutions using React.js, Node.js, Python, and modern frameworks, with a strong focus on clean, efficient, and scalable software. I’m also deeply interested in integrating machine learning models and LLM-based AI features into production systems.

At Infosys Springboard, I architected an end-to-end Legal Aid Matching Platform using Java, Spring Boot, React.js, and PostgreSQL. I integrated NGO Darpan & Bar Council APIs, indexing 1000+ legal profiles with automated verification workflows, and I added an AI RAG chatbot using LLM APIs for automated legal assistance and query resolution. I also implemented JWT/OAuth2 with role-based access control and real-time communication using WebSocket.

Previously at CertifyO, I constructed a scalable Intern Management System supporting 300+ concurrent users with 99.8% uptime. I designed 20+ RESTful API endpoints with MongoDB indexing and query optimization, and I used Redis caching to reduce API response times by 60% and database load by 35%. My projects—like Road Hazard Detection with YOLOv8/FastAPI and an on-device React Native inference flow—reflect how I turn data and AI into practical, deployable applications.