Venkateshwar Ragavan
Teaching Assistant at University of Illinois Chicago- Claim this Profile
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English Full professional proficiency
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French Elementary proficiency
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Tamil Native or bilingual proficiency
Topline Score
Bio
Credentials
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Building Interactive JavaScript Websites Course
CodecademyJan, 2023- Oct, 2024 -
Learn MongoDB Course
CodecademyDec, 2022- Oct, 2024 -
Mathematics for Machine Learning: Linear Algebra
CourseraFeb, 2020- Oct, 2024 -
Sequence Models
CourseraSep, 2019- Oct, 2024 -
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraAug, 2019- Oct, 2024 -
Neural Networks and Deep Learning
CourseraJul, 2019- Oct, 2024 -
Python for Data Science and Machine Learning Bootcamp
UdemyJul, 2019- Oct, 2024 -
Machine Learning
CourseraFeb, 2019- Oct, 2024 -
MATLAB Onramp
-Nov, 2018- Oct, 2024 -
Data Structures and Performance
CourseraAug, 2018- Oct, 2024 -
Introduction to Modern Application Development
NPTELJul, 2017- Oct, 2024
Experience
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University of Illinois Chicago
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United States
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Higher Education
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700 & Above Employee
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Teaching Assistant
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Aug 2022 - Present
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DropThought
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United States
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Software Development
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1 - 100 Employee
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Software Engineer Intern
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May 2022 - Aug 2022
Developed an API to evaluate third-party NLP python libraries on user data, potentially reducing costs for sentiment analysis. This initiative helped the company save resources by improving the overall efficiency of analyzing user feedback Developed an API to evaluate third-party NLP python libraries on user data, potentially reducing costs for sentiment analysis. This initiative helped the company save resources by improving the overall efficiency of analyzing user feedback
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Universitat Autònoma de Barcelona
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Spain
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Higher Education
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700 & Above Employee
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Student Intern
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Mar 2021 - Jun 2021
Studied Deep Learning methods for Image Compression, focusing specifically on Scale Hyperprior and Latent Residual Prediction-Channel Conditioning methods. This helped create a survey work that would serve as a refresher to Image Compression terminologies and techniques. Studied Deep Learning methods for Image Compression, focusing specifically on Scale Hyperprior and Latent Residual Prediction-Channel Conditioning methods. This helped create a survey work that would serve as a refresher to Image Compression terminologies and techniques.
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Indian Institute of Technology, Madras
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India
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Higher Education
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700 & Above Employee
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Project Intern
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May 2020 - Aug 2020
Designed and implemented a module using LSTM networks to tokenize assembly code and detect malicious code with 95% accuracy. This module provided an effective solution for identifying potential security threats in assembly code, improving overall system security. Designed and implemented a module using LSTM networks to tokenize assembly code and detect malicious code with 95% accuracy. This module provided an effective solution for identifying potential security threats in assembly code, improving overall system security.
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Hewlett Packard Enterprise
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Summer Intern
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Jun 2019 - Jun 2019
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National University of Singapore
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Singapore
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Higher Education
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700 & Above Employee
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Summer Intern
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Jun 2019 - Jun 2019
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Education
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2021 - 2023
University of Illinois Chicago
Master of Science - MS, Computer Science -
2017 - 2021
Shanmugha Arts, Science, Technology and Research Academy
Bachelor of Technology - BTech, Computer Science and Engineering -
2006 - 2017
Sri Sankara Senior Secondary School
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