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Education, experience, and technical skills. A PDF version is linked below.
Education
B.S., Electrical Engineering and Computer Science — Indian Institute of Science Education and Research (IISER) Bhopal September 2023 – May 2027
Experience
Member of Technical Staff, Pretraining Team — Overworld October 2025 – Present
- Training foundational interactive video models.
- Scaling up and optimizing data and inference pipelines for custom and pre-trained open-source video diffusion models.
Research Intern — Vision and AI Lab, Indian Institute of Science (IISc) December 2024 – August 2025
- Created a dataset for object relighting using the BlenderProc API with procedural camera poses and environment lighting maps.
- Conducted literature surveys of ICCV 2026 and CVPR 2025 papers on video relighting and video diffusion models.
- Performed efficient LoRA fine-tuning of the WanVideo 1.3B model on a custom dataset using Diffusion-Pipe, with inference via Hugging Face Diffusers.
- Ran and compared state-of-the-art video diffusion models (Hunyuan, Mochi-1, CogVideoX) on server-grade hardware using Hugging Face Diffusers, ComfyUI, and xDiT for multi-GPU inference.
- Internship report
Publications
- Waypoint-1.5: A Real-Time Video World Model for Consumer Hardware — Overworld (preprint, 2026). Project page
- COMBAT: Conditional World Models for Behavioral Agent Training — 1st RIWM Workshop, ICCV 2025 (non-archival).
Technical Skills
- Languages: C++, C, Java, GLSL, Python, MATLAB
- Developer Tools: Visual Studio, Git, GitHub, Linux
- Libraries & APIs: Hugging Face Diffusers, PyTorch, OpenGL, Dear ImGui, NumPy, Matplotlib
- Areas of Interest: Computer Vision, GenAI, Diffusion Models, Transformers, Graphics Programming, Simulation