Keywords:
Computer Vision, Deep Learning, Machine Learnin...
PhD researcher at Indian Institute of Technology Madras developing methods for semantic scene understanding under sparse and adverse conditions. Research spans unsupervised semantic segmentation, R...
Skill Set:
Technical Skills: Programming and Frameworks: Python, PyTorch, NumPy, OpenCV, C/C++, data-processing pipelines
Computer Vision and Machine Learning: Semantic segmentation, depth estimation, CNNs, Vision Transformers (ViTs), self-supervised learning, unsupervised learning, contrastive learning, knowledge distillation
3D Vision: 3D Gaussian Splatting (3DGS), sparse-view reconstruction, multi-view consistency, neural rendering, geometric representation learning
Multimodal and Emerging Vision: RGB–Thermal vision, event-based vision, multimodal representation learning
Training and Infrastructure: Mixed-precision training, Distributed Data Parallel (DDP), checkpointing, Weights & Biases (W&B), MLflow, Hydra-style configurations, Linux, SLURM/HPC, GPU debugging and profiling, Git/GitHub
Prior Technologies: JavaScript, AngularJS, HTML/CSS, jQuery, REST APIs, WebSockets, MySQL, PostgreSQL, Redis, SQLite, Hadoop
Computational Skills: Programming and Frameworks: Python, PyTorch, NumPy, OpenCV, C/C++, data-processing pipelines
Training and Infrastructure: Mixed-precision training, Distributed Data Parallel (DDP), checkpointing, Weights & Biases (W&B), MLflow, Hydra-style configurations, Linux, SLURM/HPC, GPU debugging and profiling, Git/GitHub
Prior Technologies: JavaScript, AngularJS, HTML/CSS, jQuery, REST APIs, WebSockets, MySQL, PostgreSQL, Redis, SQLite, Hadoop
Lab Affiliations:
Center Name: Visualization and Perception Lab, IIT Madras (https://cse.iitm.ac.in/~vplab/)
Computational Imaging Lab (EE), IIT Madras (https://www.ee.iitm.ac.in/comp_photolab/)
