RAHUL KUDALAGI

About

Computer Science and Artificial Intelligence undergraduate with hands-on experience in machine learning, deep learning, computer vision, NLP, and analytics. Has built and deployed applied ML systems, including an IEEE-conference-published vision-language model for automated radiology report generation.

Education

• B.E. Computer Science (AI)
  KLE Technological University
  Computer Science (AI) · Sep 2023 – Aug 2027
• Class 12 (PCMB)
  Vidyaniketan PU Science College
  PCMB · Jun 2020 – Mar 2022
• Class 10
  St. Mary's High School
  Matriculation · Jun 2019 – Mar 2020

Skills

• SQL
• C
• CSS
• Computer Vision
• Deep Learning
• HTML
• Python
• Machine Learning
• Data Science
• JavaScript
• Model Evaluation
• React
• Operating Systems
• Natural Language Processing
• Software Engineering
• Data Structures and Algorithms
• Oop
• Database Management Systems

Projects

• Online Medical Consultation and Home Delivery of Medicines ↗
  HTML, CSS, JavaScript, React.js, Firebase

  Built a full-stack healthcare web application with appointment booking, cart management, secure authentication, and real-time order tracking. Applied UML modeling, system design, and requirement analysis across the development lifecycle.

• Cloud-Native CI/CD Pipeline using Docker, Kubernetes & GitHub Actions ↗
  Docker, Kubernetes, GitHub Actions, DockerHub, Prometheus, Node.js

  Built an end-to-end cloud-native deployment pipeline for a Node.js application and automated container build/deployment through GitHub Actions. Implemented Kubernetes orchestration and monitoring, and optimized Docker images using multi-stage builds.

• Financial Document Summarizer
  NLP, LoRA, LLM

  Developed an AI-driven NLP pipeline to convert raw financial transcripts into structured JSON summaries for analytics. Fine-tuned a 7B-parameter LLM using LoRA adapters for efficient quantized deployment.

• Automated Radiology Report Generation from Chest X-Rays
  DenseNet-121, LSTM, Computer Vision

  Built an AI-based medical report generation system using DenseNet-121 and LSTM for automated image interpretation of chest X-rays. Designed an encoder-decoder vision-language architecture and published/presented the research at the 2026 International Conference for Convergence in Computing Technology (I3CTCON).

Courses & certifications

• Python for Data Science · Cognitive Class
• Database Management Systems · NPTEL
• Data Structures & Algorithms · NPTEL
• Introduction to Machine Learning · NPTEL
• Programming in Java · NPTEL

🏆 Achievements & awards

• 13th Rank in Karnataka SSLC Examination · 2020

  Secured 13th rank in the Karnataka SSLC Examination at the state level.

📚 Publications

• Automated Radiology Report Generation from Chest X-Rays · 2026

🎯 Hobbies & interests

• Singing
• Music Content Creation