📍 Hyderabad, India · 🌐 Portfolio
- Machine learning for perception and driving — detection, tracking and sensor fusion on driving datasets, and gap-acceptance modelling
- Deep learning on brain imaging — transformer models on rs-fMRI data
- Small web apps — tools I build for myself and for people around me
| Project | What it is |
|---|---|
| Autonomous-driving-perception-benchmark | Multi-dataset perception and tracking benchmark: YOLOv8 + 3D EKF sensor fusion + ByteTrack on nuScenes, Waymo Open and Argoverse 2 |
| Brainwavelet | Wavelet-based transformer with time-frequency cross-attention on rs-fMRI data for ASD and ADHD diagnosis |
| Machine-Learning-Approaches-for-Gap-Acceptance-Modelling | Machine learning models for driver gap acceptance |
| quora-question-pair-similarity | Detecting duplicate question pairs |
| spendly | Expense tracking application |
| JLPT-N5-Trainer | Practice tool for the JLPT N5 Japanese exam |
| CIP-DAY | Live brackets and results site for CIP Day 2026 sports and activities |
Python · C++ · JavaScript · PyTorch · HTML/CSS
- Portfolio: https://saishubhaml.github.io/Portfolio/