PhD Researcher in Computer Science
Developing interactive methods for VR-based shape synthesis and editing from minimal user inputs.
Experience
Research and industry experience
Research Intern
Worked on geometry processing and 3D content creation pipelines in a research-driven production environment.
Research Intern
Implemented surface reconstruction and optimization techniques for VR-based modeling inputs.
Software Engineer
Built interactive 3D educational applications, giving me strong applied engineering experience alongside research.
Publications
Research output
These papers reflect a consistent line of work on minimal-input 3D modeling, from geometric methods to neural surfacing.
SIGGRAPH Conference 2026
NeuralSketch2Surf: Fast Neural Surfacing of Unoriented 3D Sketches
* Shared first authors
Fast neural surfacing for arbitrary unoriented 3D sketches
HALSIGGRAPH Asia Conference 2025
RibbonSculpt: Voronoi Ball based 3D Sculpting from Sparse VR Ribbons
An implicit modeling framework for real-time sculpting from sparse VR ribbon input.
Project page
Eurographics 2025
VRSurf: Surface Creation from Sparse, Unoriented 3D Strokes
Robust surface reconstruction for 3D modeling from sparse and unoriented stroke input in virtual reality.
Project pageBackground
Education and technical range
Education
- PhD in Computer Science, Institut Polytechnique de Paris, 2023 - Present
- Master's in Interaction, Graphics and Design, Institut Polytechnique de Paris, 2022 - 2023
- Master's in Computer Science, Rajiv Gandhi Institute of Technology, 2018 - 2020
- Bachelor's in Computer Science, Government Engineering College, Idukki, 2014 - 2018
Technical strengths
- C++, Python, C#, JavaScript, Unity, OpenGL
- Geometry processing with Libigl, CGAL, Eigen, mesh processing workflows
- PyTorch, TensorFlow, NumPy, SciPy for learning-based graphics work
- Linux, Git, CMake, Docker, Blender, Qt