Akshayaa Magesh

Researcher

Sunnyvale, California, United States7 yrs 6 mos experience
Highly Stable

Key Highlights

  • PhD candidate with expertise in statistical inference and machine learning.
  • Research experience at Meta and UIUC in advanced optimization techniques.
  • Proficient in Python and PyTorch for machine learning applications.
Stackforce AI infers this person is a Machine Learning Researcher with a focus on statistical inference and optimization in academic and tech environments.

Contact

Skills

Core Skills

Statistical InferenceMachine Learning

Other Skills

Action RecognitionInformation TheoryLearning TheoryMulti-armed banditsPyTorchPython (Programming Language)Reinforcement LearningResearch SkillsRobust OptimizationStatisticsUncertainty Quantification

About

I am a final year PhD student at UIUC working with Prof. Venu Veeravalli. Broadly speaking, my research interests are in developing theory and principled algorithms for problems at the intersection of statistical inference, machine learning and reinforcement learning. I am currently looking for full-time research positions.

Experience

Meta

Researcher

Dec 2024Present · 1 yr 3 mos · Sunnyvale, California, United States · Hybrid

Netradyne

Research Intern

May 2021Aug 2021 · 3 mos · San Diego, California, United States

Python (Programming Language)Machine Learning

University of illinois at urbana-champaign

Research Assistant

Aug 2018Oct 2024 · 6 yrs 2 mos · Urbana-Champaign, Illinois Area

Robust OptimizationUncertainty QuantificationStatistical InferenceMachine Learning

Education

University of Illinois Urbana-Champaign

PhD — Electrical and Computer Engineering

Jan 2020Jan 2024

University of Illinois Urbana-Champaign

Masters — Electrical and Computer Engineering

Jan 2018Jan 2020

Indian Institute of Technology, Madras

Electrical and Electronics Engineering

Jan 2014Jan 2018

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