Rajan Shetti

Recent graduate with foundational knowledge in Computer Science and hands-on experience gained through academic projects. Demonstrates strong teamwork, problem-solving, and time-management skills. Prepared to start career and make meaningful contributions with commitment and drive.

AI Flashcard Generation using Fine-Tuned T5
Developed an AI-powered learning assistant that generates flashcards, conceptual multiple-choice questions, and distractors using a fine-tuned T5 transformer model. Improved flashcard generation quality by 42% over the baseline model and integrated learner performance analytics to provide personalized learning insights.

Result Analysis and Automation using Agentic AI
Built an AI-driven academic result analysis system that extracts, validates, and analyzes semi-structured student records using LLM-based extraction with rule-based validation. Achieved 100% extraction accuracy while automating academic data processing, intelligent querying, and analytics for educational institutions.

Telemedicine Microservices Backend
Developed a production-ready telemedicine backend using FastAPI microservices for authentication, patient management, and appointment scheduling. Implemented Docker, Kubernetes, DevSecOps security pipelines, and Prometheus-Grafana monitoring to ensure secure, scalable, and observable healthcare services.