• 🎓 Final-year M.Tech (Research) at IISc, CDS — working with VAL / VCL.
• 🔭 Research interests: sketch-guided localization, hand–object interaction generation, 3D scene representations (NeRF, 3D Gaussians), and grounded detection.
• ⚙️ Love building research-grade systems: custom PyTorch ops, DDP/NCCL, SLURM on DGX, Dockerized reproducible setups.
• 🌱 Currently exploring: triplane-guided HOI generation, sketch-conditioned GroundingDINO, and agentic ML systems for real-world impact.

• Sketch-conditioned GroundingDINO — extended grounding with a SketchEncoder for retrieval-aligned detection.
• HOI-Diffusion — triplane intermediate representation for coherent hand–object trajectories in 3D.
• 3D Gaussian Workflows — experiments on generalizable splats & NeRF pipelines with robust camera handling.
• Award — Co-author on IAPR Best Paper (CVIP 2023) for vision-based fire detection & classification.

I enjoy turning messy research ideas into clean, reproducible repos with good docs, configs, and ablations.

• 🧩 Better open-set / sketch-guided localization for real-world categories.
• 👐 Consistent HOI generation with physically plausible contacts.
• 🧱 Infra: multi-GPU training (DDP/NCCL), data pipelines, and robust loaders for large mixed-modality datasets.

I refactor dataloaders more than I refactor life. Also: dark mode forever.