Harini Suresh

Machine Learning Engineer at Typeface
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Contact Information
us****@****om
(386) 825-5501
Location
Los Angeles, California, United States, US
Languages
  • English Full professional proficiency
  • Tamil Full professional proficiency
  • Kannada Full professional proficiency
  • Hindi Professional working proficiency

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5.0

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Rasha Salim

It was great having her in the team. Her support and mentoring throughout the project was so inspiring and insightful and I'm eager to collaborate with her on other projects in the near future.

Oliver Norkauer

Harini was one of the main contributors in a project that I managed at Omdena. She is an excellent team lead, a highly skilled AI expert, and she has the rare skill to finish tasks reliably, on time, and with high quality. I was very impressed how she was encouraging collaboration between subteams, sharing her knowledge and inspiring the team to constantly improve the AI models. At the end of the project, she was a crucial part of the group that connected multiple solutions into a full pipeline. I recommend Harini to any team that is looking for highly skilled leadership.

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Credentials

  • Deep Learning Specialization
    deeplearning.ai
    May, 2020
    - Nov, 2024
  • Codechef Certified Data-Structures and Algorithms Programme (CCDSAP) -- Foundation Level
    CodeChef
    Nov, 2019
    - Nov, 2024
  • Introduction to Modern Application Development
    NPTEL
    Oct, 2017
    - Nov, 2024

Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Oct 2023 - Present

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Student Researcher
      • Apr 2023 - Jun 2023

    • Teaching Assistant
      • Sep 2022 - Apr 2023

      Teaching Assistant for Computational & Systems Biology 10: Preparation for Research in Computational Biology

    • United States
    • Software Development
    • 400 - 500 Employee
    • Head Of Projects
      • Feb 2021 - Jun 2023

      As the Head of Projects at Omdena, I was responsible for the successful execution of 30+ social impacting projects with various impact startups, UN-OICT, HumanRightsFirst and NGOs. Defined the technical scope of the project and managed Product Owners to build a ML product in a two month period with a group of 40-50 collaborators from different backgrounds and experiences.Overseeing project execution, overseeing PMs responsibilities, identifying potential loopholes in the projects, connecting the tasks to build the architecture/pipeline of the ML deployed product at the end. Show less

    • Product Owner
      • Nov 2020 - Mar 2021

    • United States
    • Software Development
    • 700 & Above Employee
    • Research Scientist Intern
      • Jun 2022 - Sep 2022

      Under the mentorship of Dr. Zhifei, Dr. Brian and Dr. Zhaowen at the Media Intelligence Lab of Adobe Research, I was responsible for building a scene text based editing system with the hybrid implementation of autoencoders and StyleGAN on de-rendering text. Develop new algorithms, run experiments, and produce demonstration prototypes for recreating different content in the input-given font and handwriting style on an image background. Scene-Text Editing System prototype also qualified for the Adobe Max Pool of 2022. The prototype paves way for the automatic detection and recognition of texts, as well as in the recognition of the font, size, color and geometry. Geometry-aware text editing was incorporated which renders new text to its original geometry. Show less

    • United States
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Mar 2022 - Jun 2022

      Teaching Assistant for Computational & Systems Biology 10: Preparation for Research in Computational Biology. Focussing on computational tools for carrying out research in computational biology, including basic statistics, Python, R, and UNIX. Teaching Assistant for Computational & Systems Biology 10: Preparation for Research in Computational Biology. Focussing on computational tools for carrying out research in computational biology, including basic statistics, Python, R, and UNIX.

    • United States
    • Computer Networking Products
    • 700 & Above Employee
    • Technical Solutions Engineer
      • Jul 2019 - Aug 2021

      Collaborated with the Software Engineering Team, Arista Extensible Operating System Product team on troubleshooting issues encountered in a Data-Centre environment of Arista clients organisations.Built automated pipeline of network device configuration using Python.Engineered in-house lab replications of major network failures seen in the field, implemented analyses and documented findings.

    • Intern
      • Jan 2019 - Jun 2019

      Undergone training and hands-on exposure to several Data Center standard Protocols and design mechanisms as a part of the AIRP-2019 batch.

    • India
    • E-Learning Providers
    • 1 - 100 Employee
    • AI Captain
      • May 2020 - Feb 2021

      We mentor students through month-long online workshops where they experience the basics of the Artificial Intelligence field in a practical and guided manner. We mentor students through month-long online workshops where they experience the basics of the Artificial Intelligence field in a practical and guided manner.

    • India
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Project Lead
      • Aug 2020 - Nov 2020

      Awarded as the Top performer Project Lead during the program while mentoring and building a roadmap for a research project building to tackle the number of topics prediction in Topic Modelling using Natural Language Processing. Awarded as the Top performer Project Lead during the program while mentoring and building a roadmap for a research project building to tackle the number of topics prediction in Topic Modelling using Natural Language Processing.

    • United States
    • Software Development
    • 400 - 500 Employee
    • Lead Machine Learning Engineer
      • Jul 2020 - Sep 2020

      Increasing Solar Energy Adoption Through Machine Learning Roof Detection: Led a team for detecting rooftop using instance segmentation models such as Mask RCNN, Detectron2, YOLACT and built a model to detect obstacles based on colour, contour and material using unsupervised learning. Using AI to analyse domestic violence and online harassment during COVID 19: Creating a database and mapping trends of increase in incidents of domestic violence as seen on publicly available forums. Led a team in Named Entity Recognition labelling and modelling for extracting features - texts collected from disparate sources. Show less

    • United States
    • Computer and Network Security
    • 400 - 500 Employee
    • Software Engineer Intern (R & D Endpoint)
      • May 2018 - Jun 2018

      OS Template Automation System OS Template Automation System

Education

  • University of California, Los Angeles
    Master of Science - MS, Computer Science
    2021 - 2023
  • Amrita Vishwa Vidyapeetham, Coimbatore
    Bachelor of Technology, Computer Science
    2015 - 2019

Community

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