I enjoy geeky coding and mathematics-related work, which makes my role as an ML researcher/engineer immensely satisfying (with a stronger inclination towards research than engineering). I'm skilled in coding, deep learning, and comfortable with mathematics.
- 10+ years of experience in academia and 6+ years in industry.
- Primarily worked on vision-related applications of deep learning with a focus on 3D, including:
- 3D Inpainting and Segmentation
- Gaussian Splatting
- NeRFs (Neural Radiance Fields)
- Digital Twins
- Markerless Motion Capture
- Post-Doctoral Research:
- Worked on face recognition and person identification using deep neural networks.
- PhD Research:
- Focused on Bayesian filtering and statistical signal processing, building a solid mathematical foundation for my ML work.
I would deem myself fulfilled if I could create (or contribute to creating) something beautiful, interesting, important, and useful through AI.