V

Venkatadheeraj Pichapati

Product Engineer

San Diego, California, United States14 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • PhD candidate with strong research in Machine Learning.
  • Experience in developing privacy-preserving algorithms.
  • Expertise in Deep Learning and Information Theory.
Stackforce AI infers this person is a Machine Learning Researcher with a focus on AI and Information Theory.

Contact

Skills

Core Skills

Machine LearningAlgorithmsInformation TheoryDeep LearningSpatiotemporal Analytics

Other Skills

C++Data AnalysisMatlabMultiuser CommunicationsPython

About

I am a fifth year PhD student in the Department of Electrical and Computer Engineering at University of California San Diego. I completed my Master's degree in ECE Dept. at UCSD and earned my Bachelor's degree in Electrical Engineering from Indian Institute of Technology, Kanpur. My research interests include Machine Learning, Learning Theory, Algorithms, Deep Learning, Theoretical Computer Science and Information Theory. I am a research assistant under supervision of Prof. Alon Orlitsky. Currently, I am working on Maximum Selection and Ranking under noisy comparisons

Experience

Google

Reserch Intern

Jun 2018Sep 2018 · 3 mos · New York , NY

  • Developed Differentially Private SGD algorithms for training Neural Networks
Machine Learning

Sri international

Research Intern

Jun 2017Sep 2017 · 3 mos · Melno Park, California, USA

  • Constrained Deep Learning Algorithms
Deep Learning

Simons institute

Visiting PHD Student

Jan 2015Apr 2015 · 3 mos · Berkeley, California, USA

  • Long term Participant of Machine Learning - Information theory Program

University of california san diego

2 roles

Teaching Assistant

Sep 2014Dec 2014 · 3 mos · La Jolla, California, USA

  • For graduate course "ECE255: Information Theory" in Fall 2014 and Fall 2015
Information Theory

Graduate Research Assistant

Sep 2013Present · 12 yrs 6 mos · La Jolla, California, USA

  • Maximum Selection and Ranking under Noisy Comparisons
  • Learning Markov Distributions
  • Learning Distributions from Samples
AlgorithmsMachine LearningData AnalysisDeep LearningInformation Theory

Ibm india research lab

Blue Scholar (Researcher)

Jun 2011Sep 2013 · 2 yrs 3 mos · Bengaluru, Karnataka, India

  • Spatiotemporal Analytics
  • Multiuser Communications
  • Estimating Bandwidth
  • Optimizing Handoffs
Spatiotemporal AnalyticsMultiuser Communications

New york university - polytechnic school of engineering

Research Intern

Apr 2010Jun 2010 · 2 mos · New York, New York, USA

  • Frequency Allocation Schemes

Indian institute of science (iisc)

Research Intern

Apr 2009Jun 2009 · 2 mos · Bengaluru, Karnataka, India

  • Wireless Communications

Education

UC San Diego

Doctor of Philosophy - PhD — Electrical and Computer Engineering

Jan 2013Jan 2019

UC San Diego

Master's degree — Electrical and Computer Engineering

Jan 2013Jan 2016

Indian Institute of Technology, Kanpur

Bachelor's degree — Electrical Engineering

Jan 2007Jan 2011

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