Nikhil Gandudi Suresh

Interested to work in the areas of image processing, computer vision, computer architecture and hardware modeling

Email: gsnikhil333 [at] gmail.com , ngandudisuresh [at] ucsd.edu

I am a Master of Science student in Signal and Image Processing at UC San Diego with three years of experience in the CMOS Image Sensor Algorithm Team at Samsung Semiconductors India. My work there involved modeling hardware, developing compression schemes, and designing algorithms for sensors in Always-On (AON) mode. I was promoted within 1.5 years and awarded Employee-of-the-Month in May 2022 for my significant contributions.

Most recently, as a Platform Architecture Intern at Apple, I focused on Optical Flow-based Motion Vector refinement in the AV2 Video Codec. I analyzed the effects of hardware-imposed restrictions on algorithm performance and tested improvements, achieving a measurable gain in efficiency.

I am passionate about using my skills to make a positive impact on the world, and I am actively seeking full-time positions in hardware modelling, imaging, image/video compression, and computer vision. I am confident that my strong technical skills, work experience, and academic achievements would make me a valuable asset to your team.

Publications

Nikhil G S, P. Pandey, M. Hota and M. Goel, "Efficient Compression Technique For Large Size Binary Sparse Matrix Using Modified Run Length Encoding For Memory Constraint Embedded Systems," 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bengaluru, India, 2023, pp. 916-921, doi: 10.1109/IITCEE57236.2023.10091013.


Resume


Projects (lastest to oldest)