Generative AI/LLMs Architect at NVIDIA. CS/Robotics at Carnegie Mellon and EE at IIT Madras.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NVIDIA
Data Scientist
June 26, 2026 – Present
skystudio_airlab
February 1, 2026 – Present
SkyStudio: volumetric drone capture simulations for sports broadcasting
View Projectplenpy
November 28, 2020 – December 26, 2020
Implementation of a CVPR2020 paper using Plenpy for the 15-663 Computational Photography course at Carnegie Mellon University
View ProjectEE5175_ImageSignalProcessing
May 1, 2018 – May 1, 2018
Image Signal Processing Assignments
View ProjectN-Body-Simulations-CUDA
November 27, 2017 – November 27, 2017
N-Body Particle Simulations on GPU using CUDA
View Projectsystolic-array-sorting
May 11, 2017 – May 11, 2017
Implementation of a Systolic Array based sorting engine on an FPGA using Verilog
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards technical challenges and personal learning, which can be a positive indicator for a culture of continuous improvement. However, the lack of team-based projects or explicit collaboration details makes it difficult to fully assess cultural fit. The projects are diverse in technical scope, indicating adaptability and a broad interest in different areas of computer science and engineering, which could align with an innovative environment. The target role is Data Scientist, and while there are relevant projects, the overall breadth suggests a strong engineering background that may need to be more focused on data science specific methodologies and tools.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical project work without details on collaboration, problem-solving approaches, or communication in a team setting.