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Harshinee S.

Harshinee S.

Artificial Intelligence Intern

Followers of Harshinee S.2000 followers
location of Harshinee S.Metro Vancouver A, British Columbia, Canada

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  • Timeline

  • About me

    AI for Healthcare PhD Candidate @ UBC Vancouver | Applied Science Intern at Amazon AWS CIC

  • Education

    • The University of British Columbia

      2022 - 2026
      Doctor of Philosophy - PhD Artificial Intelligence

      Supervisor: Professor Margo Seltzer.Thesis direction: Poly-view multimodal contrastive learning for neurodegenerative differential diagnosis.

    • SRM University

      2016 - 2020
      Bachelor of Technology (BTech) Computer Science 90.69% (CGPA: 8.9)

      First Class with DistinctionRelevant coursework:15CS202 -- Digital System Design15CS201J -- Data Structures15CS203 -- Computer System Architecture15CS204J -- Algorithm Design & Analysis15CS205J -- Microprocessors & Microcontrollers15CS301 -- Theory of Computation15CS324E -- Machine Learning15CS421E -- Natural Language Processing15CS302J -- Operating Systems15CS314J -- Compiler Design15CS401 -- Artificial Intelligence15CS330E --… Show more First Class with DistinctionRelevant coursework:15CS202 -- Digital System Design15CS201J -- Data Structures15CS203 -- Computer System Architecture15CS204J -- Algorithm Design & Analysis15CS205J -- Microprocessors & Microcontrollers15CS301 -- Theory of Computation15CS324E -- Machine Learning15CS421E -- Natural Language Processing15CS302J -- Operating Systems15CS314J -- Compiler Design15CS401 -- Artificial Intelligence15CS330E -- Human Computer Interface15CS426E -- Pattern Recognition Techniques Show less

    • The University of British Columbia

      2021 - 2022
      Master of Science - MS Artificial Intelligence 4.33/4

      Transferred to the PhD program.Courses:CPSC 540: Machine Learning (95/100)CPSC 444: Advanced Methods in HCI (81/100)EPSE 592: Experimental Designs and Analysis in Educational Research (92/100)CPSC 532C: Human-Centered AI (92/100)CPSC 532S: Topics in AI - Vision & Language (99/100)CPSC 522: Artificial Intelligence 2 (96/100)

  • Experience

    • National University of Singapore

      Dec 2018 - Jan 2019
      Artificial Intelligence Intern

      Area of work: Big Data Analytics using Artificial Neural Networks• Worked on the Driver Distraction Detection problem. Used video feeds from cameras that focus on the driver’s actions to develop aclassifier model• Tested self-built CNNs, Transfer Learning techniques, and LSTMs for classification and evaluation• Used image filtering and feature extraction techniques using R and Python

    • Tech Mahindra

      Jun 2019 - Jul 2019
      Artificial Intelligence Intern

    • The University of Auckland

      Nov 2019 - Feb 2020
      Visiting Research Scholar

      Supervisor: Professor Helen Sword• Conducted an extensive study on researcher development frameworks and initiatives across research-intensive universities around the world to help decide the research direction for the university• Drew parallels on features and development solutions for research between Early Career Researchers (ECRs) and Post-Doctoral Researchers/Postgraduate Researchers (PGRs)• Developed a thorough scoring system that takes into account broad categories of researcher development activities as well as the extent of contribution to their sub-categories• Performed data analysis to draw inferences and laid out conclusions on Researcher Development practices among countries, geographical regions, and research alliances for the final report Show less

    • Wikimedia Foundation

      Dec 2020 - Mar 2021
      Computer Vision Intern

      • Conducted a literature review of existing image classification machine learning models• Curated a comprehensive dataset to train and validate, and also performed data cleaning on the same• Created a robust and light-weight Image Content Filtration tool for user-submitted edits (to counter vandalism attacks) using computer vision (transfer learning)• Developed a RESTful API for alpha testing• Experimented with model compression techniques such as layer-based pruning and knowledge distillation• Wrote the relevant technical (for future contributors) and non-technical documentation (for internal end users) Show less

    • The University of British Columbia

      Jan 2021 - Apr 2021
      Graduate Teaching Assistant

      CPSC 430: Computers and Society by Professor Kevin Leyton-Brown.

    • UBC Community Health and Wellbeing CIC

      May 2021 - now
      Applied Scientist Intern

    • UBC Geering Up Engineering Outreach

      Sept 2022 - Apr 2023
      Quantum Computing Graduate Student Curriculum Developer

    • UBC Geering Up Engineering Outreach

      Sept 2023 - now
      Quantum Computing Graduate Student Curriculum Developer

      • Assist in the development and delivery of quantum computing kits for workshops, camps, and professional development programs for teachers• Work with the Curriculum Lead and Curriculum Team to plan and design workshops for elementary and high school classrooms, and teacher programming• Review all workshop procedures for compliance with Geering Up’s risk management procedures, to create safe, and fun learning experiences• Work with industry professionals and graduate students in developing age -appropriate curriculum for a variety of programming-types (i.e. clubs, workshops, camps)• Design InSTEM workshops relating to Quantum Computing• Present their curriculum to instructors and assist Coordinators with training of instructors• Complete all evaluations and reports in a timely manner• Perform other duties, as requested by the Coordinators Show less

    • The University of British Columbia

      Jan 2024 - Apr 2024
      Graduate Teaching Assistant

      CPSC 532C/554C: Topics in Artificial Intelligence: Human-Centred AI by Professor Cristina Conati.

  • Licenses & Certifications