Sudhansh Peddabomma
- sudhansh6[at]gmail[dot]com
- speddabomma[at]ucsd[dot]edu
Hello! I’m Sudhansh, a second-year Masters in Computer Science student at UC San Diego. I am a graduate of IIT Bombay, where I majored in Computer Science and Engineering with honors and pursued a minor in Entrepreneurship.
I collaborated with Prof. Henrik Christensen on real-time dense 3D SLAM using NeRFs and Gaussian Splatting, along with some traditional techniques. We submitted a conference paper to ICRA '25 on a novel table-top rearrangement algorithm with scalable and optimal performance over the existing algorithms.
At IIT Bombay, I worked with Prof. Ajit Rajwade on the Likelihood Maximization for Saturated Compressed Sensing. We published a journal paper in Elsevier Signal Processing 2023 and submitted a paper to ICASSP '25 on permutation error correction in compressed-sensing based group testing.
I also worked with Prof. Marta Betcke from University College London on Stochastic Primal Dual algorithms for Tomographic Reconstruction of 3D volumes in Low-Dose conditions, and we have a journal paper in preparation.
Research Interests - Computer Vision, Image Processing, Robotics In summer 2024, I worked as a Computer Vision intern Duality AI, engineering pipelines to import digital twins generated by Gaussian Splatting on Unreal Engine. I also developed algorithms for robust reconstructions from multi-view camera poses of feature-less objects.
Previously, I worked as a data and applied scientist intern at Microsoft, developing pipelines to generate user-personalized contextual features for Outlook email recommendations.
As a software engineer intern at FinIQ, I developed pricing models for financial derivatives, including the Heston stochastic model to backsolve asset volatility. I also contributed to developing a parser to screen email quotations and reduce trade discard rates.
I’m passionate about entrepreneurship and collaboration. Hit me up to discuss research, startup ideas, or even sitcoms!
In high school, I participated in many competitive exams. Here are some of my achievements.
- Secured AIR 178 in JEE Advanced 2019
- Awarded Gold Medal for being in the Top 39 students in the Indian National Astronomy Olympiad in 2019
- Secured 3rd rank in Statistics Olympiad conducted by AIMSCS across India and Sri Lanka in 2019
- Among top 300 selected for Indian National Olympiads in Mathematics, Physics, and Chemistry in 2019
- Recipient of the prestigious Kishore Vaigyanik Protsahan Yojana (KVPY) Fellowship in 2017 and 2018
You can read more about my experience here! -
CV / Resume
The main content on my website is available in the Articles section and the Projects section.
news
| Nov 23, 2024 | Participated in the Supabase AI Hackathon and won an honorable mention for Mirror AI. |
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| Sep 27, 2024 | Started Teaching Assistantship for Design and Analysis of Algorithms |
| Apr 1, 2024 | Started Teaching Assistantship for Theory of Computing |
| Jan 1, 2024 | Started Teaching Assistantship for Quantum Cryptography |
| Nov 6, 2023 | Paper on bounds for compressive signal recovery accepted at Signal Processing 2024. |
latest posts
| Nov 3, 2024 | Statistical Natural Language Processing |
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| Oct 14, 2024 | Large Language Model Reasoning |
| Sep 27, 2024 | Design and Analysis of Algorithms |
