CV

Education

• B.Tech in Computer Science and Engineering
  • Shiv Nadar Institution of Eminence, Greater Noida
  • Expected Graduation: 2026
  • Specialization: Machine Learning, Computer Vision, and Open-Set Recognition

Work Experience

• Research Assistant (if applicable - update or remove this section)
  • Institution Name
  • Duration: Month Year - Month Year
  • Duties included: Brief description of your research work
  • Supervisor: Professor Name

Skills

• Programming Languages
  • Python
  • C/C++
  • Java
  • MATLAB (if applicable)
• Machine Learning & Deep Learning
  • PyTorch / TensorFlow
  • Computer Vision (OpenCV, etc.)
  • Neural Network Architectures
  • Open-Set Recognition
• Tools & Technologies
  • Git/GitHub
  • Docker
  • Jupyter Notebooks
  • Linux/Unix

Research Interests

• Machine Learning and Deep Learning
• Computer Vision
• Open-Set Recognition
• Robust AI Systems

Publications

UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets

Arnav Aditya, Nitin Kumar, and Saurabh Shigwan. "UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets." In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 4787-4796. 2026.

Projects

Portfolio item number 2

Portfolio item number 1

Hybrid RAG System with Graph and Vector Databases

Diabetic Retinopathy Detection using Vision Transformers

Relevant Coursework

See detailed coursework at /coursework/

Honors & Awards

• Add any academic awards, scholarships, or honors here
• Example: Dean’s List, Month Year
• Example: Best Project Award, Course Name, Year