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Tushaar Gangavarapu

Tushaar Gangavarapu

Student Member

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location of Tushaar GangavarapuIthaca, New York, United States

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  • Timeline

  • About me

    MS CS, Cornell (NLP)

  • Education

    • National Institute of Technology Karnataka

      2015 - 2019
      Bachelor of Technology Information Technology (specialization: Artificial Intelligence)

      Activities and Societies: Intel Artificial Intelligence Group (Student Ambassador), CodeNation (Student Ambassador), Institution of Engineers (Executive Member), Web Enthusiasts' Club (Executive Member), IEEE Computer Society (Student Member) Thesis: Psychological aspects and behavioral traits in social media languageCommittee: Ram Mohana Reddy Guddeti (advisor), Sowmya Kamath S., Nagamma Patil, Biju R. Mohan

    • Cornell University

      2022 - 2024
      Master of Science - MS Computer Science

      Thesis: Linear Recurrent Models for Robust and Interpretable Long-Context ModelingCommittee: Alexander "Sasha" Rush (advisor), David Bindel

  • Experience

    • IEEE

      Aug 2015 - May 2020
      Student Member

      Data Science and Analytics (IEEE Computer Society)

    • The Institution of Engineers, NITK Chapter

      Aug 2016 - May 2019
      Executive Member (Code SIG)

      Learning and growing every day with dedicated members of the organisation.

    • Engineer, NITK

      Sept 2016 - Oct 2016
      Executive Member, Technites Committee

      I worked under Abhijith AnilKumar (Joint Convener) at Technites 2016. We undertook the 'Psychroom' project which was a flagship event of the show. The link to the project is given below (in the projects section).

    • Web Enthusiasts'​ Club NITK

      Dec 2016 - Jan 2017
      Machine Learning Mentor

      As a Teaching Assistant (Mentor) for Machine Intelligence and Neural Learning Algorithms at the Winter Mentorship Programme, Web Enthusiasts' Club, I taught an introductory course on machine and deep learning algorithms to facilitate intelligent decision-making capabilities. Over the course, I discussed various learning and optimization algorithms and chaired several discussions on the effectiveness of learning algorithms in exhibiting machine intelligence.

    • PES University

      May 2017 - Aug 2017
      Research Intern

      Research focus: Anticipate agricultural crop yield (sugarcane cultivation)Advisor: Vinay A., Venkatarangan M. J.As a Research Intern at CPRMI, People's Education Society (PES) University, partnered with the Government of Karnataka, I was responsible for analyzing crop yield patterns over the years and subsequently developing intelligent systems that adequately predicted and improved the yield, especially anticipating plausible unfavorable soil and climatic conditions.

    • Human Centered Computing Group (HCCG)

      Jul 2017 - May 2019
      Research Candidate

      Research focus: Behavioral analytics, cognitive psychology, and learning sciencesAdvisor: Ram Mohana Reddy GuddetiAs a Research Candidate of the HCCG lab at the National Institute of Technology Karnataka, I was responsible for developing and evaluating technological solutions to adequately understand a specific community's psychological and behavioral aspects by measuring their cognitive and affective outcomes.

    • Amazon

      May 2018 - Jul 2018
      Software Development Intern

      Natural Language Processing, Kindle Create | Publisher Tools to Reader (Tech)As a Software Development Intern at Amazon, I enabled virtual assistance and accessibility for Kindle Create. As a part of the virtual assistance project, a chatbot was developed and trained in natural language inferencing using the existing Kindle Publishing Guidelines.

    • Healthcare Analytics and Language Engineering (HALE) Lab

      Jul 2018 - May 2019
      Scientific Researcher

      Research focus: Clinical decision support from unstructured and multimodal dataAdvisor: Sowmya Kamath S.As a Scientific Researcher of the HALE lab at the National Institute of Technology Karnataka, I was responsible for developing models to enable intelligent clinical decision support systems for evidence-based, AI-assisted treatments using multi-modal, heterogeneous clinical data.

    • Penzigo Technology Solutions Pvt. Ltd.

      May 2019 - Apr 2020
      Research Engineer

      I work to develop novel and state-of-the-art solutions to aid development of clinical decision support systems using AI.

    • Amazon

      Jun 2019 - Aug 2022

      Machine Learning | Kindle Content Experience and Quality AlgorithmsAs an Applied Scientist at Amazon.com, Inc., I develop automated solutions to enhance the reading experience and user engagement in Kindle ebooks (e.g., automated real-time text analysis, text tagging, automated formatting suggestions, marking reading boundaries, and others). Additionally, my team and I aim at ensuring consistency in the quality of production and publishing. Our main objective is to draw out a set of intelligent AI-assisted reader experience enhancement algorithms with "personalized" suggestions from the content quality perspective, thus improving the reading experience. Show less

      • Applied Scientist

        Sept 2021 - Aug 2022

      • Research Engineer

        Dec 2019 - Sept 2021

      • Software Development Engineer

        Jun 2019 - Dec 2019

    • Cornell University

      Aug 2022 - May 2023

      CS4300/INFO4300 (Sp23): Language and Information CS4740/LING4744/COGST4740/CS5740 (Fa22): Natural Language Processing

      • Graduate Research And Teaching Assistant

        Jan 2023 - May 2023

      • Graduate Research And Teaching Assistant

        Aug 2022 - Jan 2023

    • Cornell Tech

      May 2023 - Aug 2023
      Student Researcher

    • Cornell University

      Aug 2023 - May 2024

      CS4300/INFO4300 (Sp24): Language and Information CS4740/LING4744/COGST4740/CS5740 (Fa23): Natural Language Processing

      • Graduate Research And Teaching Assistant

        Jan 2024 - May 2024

      • Graduate Research And Teaching Assistant

        Aug 2023 - Dec 2023

    • Cornell Tech

      May 2024 - Aug 2024
      Student Researcher

    • Cornell University

      Jan 2025 - now
      Instructor

      Co-instructor, CS 3780/5780: Intro to Machine Learning

  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Tushaar Gangavarapu
      Huawei national scholarship for academic excellence (2018-19) Huawei Jan 2019 National scholarship for academic excellence (awarded while at the National Institute of Technology Karnataka), including good conduct, active involvement in practical IT projects, good knowledge in theory and applications, excellent academic performance, and the aptitude to complete thesis at the institute successfully.
    • Awarded to Tushaar Gangavarapu
      National higher secondary education scholarship for excellence (2013-15) Narayana PU College Jul 2013 Full funding for higher secondary education (two years) as a part of the national scholarship for securing 10th rank in statewide 10th-grade examinations.
    • Awarded to Tushaar Gangavarapu
      South Indian Mathematics Olympiad medal of excellence (2012) South Indian Mathematics Olympiad Jan 2012 Secured 56th on a nation-wide mathematics olympiad competition, testing on the theory and applications of geometry and trigonometry, probability and statistics, algebra, and precalculus.

  • Volunteer Experience

    • Member of the Engineer Press and Event Organisation Committee

      Issued by National Institute of Technology Karnataka, Engineer. on Oct 2015
      National Institute of Technology Karnataka, Engineer.Associated with Tushaar Gangavarapu