RISHIKANTH
CHANDRASEKARAN
photoA recent Computer Science PhD graduate from the University of California, San Diego. My thesis proposed methods to improve computational efficiency of deep learning models. I'm a proponent of open-source software and an avid self-hoster.
I'm seeking jobs in Machine Learning/Artificial Intelligence. My latest CV.
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EDUCATION
PhD in Computer Science
University of California, San Diego
2024
Masters in Computer Engineering
Columbia University
NYC
2017
Bachelors in Electrical & Electronics Engineering
Anna University
INDIA
2015
AWARDS
Best Demo Award
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SenSys
Best Paper Runner Up
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BuildSys
Best Poster Award
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BuildSys
Best Demo Runner Up
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SenSys
Google Research Pilot Award
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Best Poster Award
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MIT IoT
INTERNSHIPS
ARM Research
Research Intern
Summer'21

Developed Deep Learning models to predict malicious code from hardware performance counters. Assisted in developing methods for identifying models polluted by adverseries

Secured a Patent for detecting unknown-unknowns in Time Series Forecasting applications

Huawei
Mobile Sensing Intern
Summer'18

Designed Fast Machine Learning algorithms for inertial activity recognition using smartphone. Provided optimized implementation for real-time activity recognition on smartphones.

Deployed in production on smartphones

SKILLS
Deep Learning
Time Series Forecasting
Image Classification
Federated Learning
Text Classification
Computer Vision
Hyperdimensional Computing
TinyML
Bayesian Learning
Causal Learning
Generative Learning