Viraj Boreda

Software Engineer at Surmount AI
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Washington DC-Baltimore Area
Languages
  • English Native or bilingual proficiency
  • French Limited working proficiency
  • Hindi Limited working proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • Financial Services
    • 1 - 100 Employee
    • Software Engineer
      • Oct 2021 - Present

    • United States
    • Financial Services
    • 700 & Above Employee
    • Tech Incubator Intern
      • Jan 2022 - Apr 2022

    • United States
    • Technology, Information and Internet
    • 700 & Above Employee
    • Software Engineer Intern
      • Jun 2021 - Aug 2021

      Built web pages for Yext customers using Google Closure Templates, CSS, and Javascript. Updated customer web pages and pushed their business listing data to 200+ third party publishers (eg. Yelp) by leveraging Yext Cloud Platform. Created a custom Yext Answers Experience for internal employees to find and update the employee skills knowledge base. Developed the UI using Handlebars JS, HTML, CSS and invoked the Yext Answers API to populate and query the backend. Practiced the Agile development methodology and participated in 2-week sprints to design-build-test-deploy my code in QA and production environments. Show less

    • United States
    • Higher Education
    • 700 & Above Employee
    • Intern - Aspiring Scientists Summer Internship Program (ASSIP)
      • Jun 2020 - Sep 2020

      Analyzed various image segmentation techniques and machine learning classifiers to find the most accurate way to detect malaria in blood smear cell images. Presented my findings at the VII Workshop on Computational Data Analysis and Numerical Methods (WCDANM) conference organized by Polytechnic Institute of Tomar. Analyzed various image segmentation techniques and machine learning classifiers to find the most accurate way to detect malaria in blood smear cell images. Presented my findings at the VII Workshop on Computational Data Analysis and Numerical Methods (WCDANM) conference organized by Polytechnic Institute of Tomar.

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Summer Intern - Radiology Department
      • Jun 2019 - Aug 2019

      Viewed interventional radiology cases in the operating room and learned about different aspects of healthcare, radiology, and surgery. Viewed interventional radiology cases in the operating room and learned about different aspects of healthcare, radiology, and surgery.

    • United States
    • Software Development
    • 1 - 100 Employee
    • Summer Intern
      • Jun 2019 - Aug 2019

      Enhanced a smartphone application attached to a digital stethoscope (StethAid) by developing a computer vision module to read patient information from printed labels. Enhanced a smartphone application attached to a digital stethoscope (StethAid) by developing a computer vision module to read patient information from printed labels.

Education

  • University of Maryland
    Bachelor's degree, Computer Science
    2021 - 2025
  • University of Maryland - Robert H. Smith School of Business
    Minor, Entrepreneurship/Entrepreneurial Studies
    2021 - 2025
  • Thomas Jefferson High for Science And Technology
    High School Diploma, STEM
    2017 - 2021

Community

You need to have a working account to view this content. Click here to join now