Hello! I am Nihar Shah.
Welcome to my portfolio! I am currently a final-year student at the Indian Institute of Technology Gandhinagar, majoring in Electrical Engineering with a minor in Computer Science and Engineering.
My primary research and development focus lies at the intersection of Deep Learning and Medical Imaging. I am passionate about leveraging advanced Computer Vision and Machine Learning techniques to solve complex, real-world healthcare challenges and build next-generation intelligent systems.
Importing torch, torchvision...
Initializing ResNet-50 for Medical Imaging...
Epoch [1/50] Loss: 0.8423 | Acc: 76.5%
Epoch [25/50] Loss: 0.1245 | Acc: 94.2%
Epoch [50/50] Loss: 0.0102 | Acc: 99.8% -> Model Saved!
🔬 Interactive CV & Medical Imaging Showcase
1. Automated Semantic Scanner (MRI)
A continuous simulated sweep revealing an AI-predicted tumor mask.
2. CNN Convolution Process
Automated simulation of a 3x3 kernel generating a 2x2 feature map.
🌟 Core Competencies
- Deep Learning in Medical Imaging: Developing robust architectures for disease detection, segmentation, and anomaly detection in clinical datasets.
- Computer Vision: Image processing, object detection, and visual representation learning.
- Machine Learning: Predictive modeling, data science, and end-to-end ML pipeline optimization.
📰 Recent News
- May 15, 2025 : Started a research Internship at Purdue University. Know more.
- May 14, 2024 : Started an Internship at Corover as an AI-ML developer. Know more.
🎓 Education
| Degree | Specialization | Institute | Year | CPI/% | | — | — | — | — | — | | B.Tech. | Electrical Engineering | IIT Gandhinagar | 2022-Present | 8.83/10 | | Class XII | Physics, Chemistry, Maths | Prakash College | 2021-2022 | 87.17 % | | Class X | | Ryan International School, Mumbai | 2019-2020 | 97.6 % |
📬 Get in Touch
Interested in collaborating on Computer Vision or Medical Imaging research? Reach out to me!