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Deeksha Manjunath Location
Santa Clara, CA, US
Deeksha Manjunath Work
2025 -now Software Engineer - Tegra @
2024 -2024 DSP Software Engineer @
2023 -2023 Graduate Teaching Assistant @
2023 -2023 DSP Software Design Intern @
2023 -2023 Graduate Research Assistant @
2023 -2023 Student Researcher @
2022 -2022 Samsung PRISM Researcher @
2021 -2021 Project Intern @
Deeksha Manjunath Education
Georgia Institute of Technology
Master of Science - MS (Electrical and Computer Engineering)
2022-2023
B. M. S. College of Engineering
Bachelor of Engineering - BE (Telecommunications Engineering)
2018-2022
RV PU College
Pre-University (Science)
2016-2018
Deeksha Manjunath Skills
Digital Signal Processors
C++
Embedded Systems
Spectrograms
Spectral Analysis
Fourier Transforms
FMCW Radar
Wavelets
Time-frequency Analysis
Neural Networks
Embeddings
teensy
Research Skills
Filter Design
Adaptive Filtering
Embedded Software
6G
Deep Learning
Bispectral Neural Networks
Machine Learning
Signal Processing
machine learning and deep learning
Python (Programming Language)
Image Processing
C (Programming Language)
Verilog
Astrophysics
Electronics and Telecommunication
Deeksha Manjunath Summary
Deeksha Manjunath, based in Santa Clara, CA, US, is currently a Software Engineer - Tegra at NVIDIA. Deeksha Manjunath brings experience from previous roles at Motorola Solutions, Georgia Institute of Technology and Tektronix. Deeksha Manjunath holds a 2022 - 2023 Master of Science - MS in Electrical and Computer Engineering @ Georgia Institute of Technology. With a robust skill set that includes Digital Signal Processors, C++, Embedded Systems, Spectrograms, Spectral Analysis and more. Deeksha Manjunath has 2 emails on RocketReach.
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