Nripesh Parajuli

Senior Machine Learning Engineer at Caption Health
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Seattle, Washington, United States, US
Languages
  • English Full professional proficiency
  • Nepali Native or bilingual proficiency
  • Hindi Professional 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.

Credentials

  • Machine Learning
    Coursera
    May, 2014
    - Nov, 2024

Experience

    • United States
    • Hospitals and Health Care
    • 1 - 100 Employee
    • Senior Machine Learning Engineer
      • Sep 2023 - Present

    • Machine Learning Engineer
      • Nov 2021 - Sep 2023

    • Machine Learning Engineer
      • Nov 2017 - Nov 2021

      • Train and validate machine (deep) learning models. • Assist the collection and analysis of data. • Help build prototype and production software.

    • United States
    • Higher Education
    • 700 & Above Employee
    • PHD Researcher
      • Aug 2012 - Oct 2017

      I worked in the Image Processing and Analysis Group (IPAG) at the Yale Medical School (Advisor: Dr. James Duncan). Research responsibilities primarily involved: • Developing computational models of the heart and it's motion in 3D+time. • Using image processing and machine learning (deep learning) to extract relevant features and information from Ultrasound images and leveraging that to estimate cardiac displacements and strains. • Detecting abnormalities and quantifying it. I worked in the Image Processing and Analysis Group (IPAG) at the Yale Medical School (Advisor: Dr. James Duncan). Research responsibilities primarily involved: • Developing computational models of the heart and it's motion in 3D+time. • Using image processing and machine learning (deep learning) to extract relevant features and information from Ultrasound images and leveraging that to estimate cardiac displacements and strains. • Detecting abnormalities and quantifying it.

    • United States
    • Education Administration Programs
    • 1 - 100 Employee
    • Teaching Fellow
      • Aug 2014 - Dec 2016

      Served as a Teaching assistant for: • Biomedical Image Processing and Analysis (BENG 445) • Computing for Engineers and Scientists (ENAS 151) • Computational methods for the Analysis and Modeling of Biological Data (CPSC 453). Tasks included: • Conducting office hours/help sessions • Grading assignments for about 10-20 students weekly. Served as a Teaching assistant for: • Biomedical Image Processing and Analysis (BENG 445) • Computing for Engineers and Scientists (ENAS 151) • Computational methods for the Analysis and Modeling of Biological Data (CPSC 453). Tasks included: • Conducting office hours/help sessions • Grading assignments for about 10-20 students weekly.

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Intern
      • Jun 2015 - Aug 2015

      I worked on a project within the Medical Sieve Radiology Grand Challenge project. Responsibilities involved: • Developing novel image analysis methods to extract relevant clinical parameters for a specific disease detection. (Details omitted to abide by confidentiality agreements). • Quantifying information from 1000s of patient images and text files, doing statistical analysis and presenting the results to the group. • Presented work in an internal event. Portion of my work is now… Show more I worked on a project within the Medical Sieve Radiology Grand Challenge project. Responsibilities involved: • Developing novel image analysis methods to extract relevant clinical parameters for a specific disease detection. (Details omitted to abide by confidentiality agreements). • Quantifying information from 1000s of patient images and text files, doing statistical analysis and presenting the results to the group. • Presented work in an internal event. Portion of my work is now part of a patent that was filed recently. Show less I worked on a project within the Medical Sieve Radiology Grand Challenge project. Responsibilities involved: • Developing novel image analysis methods to extract relevant clinical parameters for a specific disease detection. (Details omitted to abide by confidentiality agreements). • Quantifying information from 1000s of patient images and text files, doing statistical analysis and presenting the results to the group. • Presented work in an internal event. Portion of my work is now… Show more I worked on a project within the Medical Sieve Radiology Grand Challenge project. Responsibilities involved: • Developing novel image analysis methods to extract relevant clinical parameters for a specific disease detection. (Details omitted to abide by confidentiality agreements). • Quantifying information from 1000s of patient images and text files, doing statistical analysis and presenting the results to the group. • Presented work in an internal event. Portion of my work is now part of a patent that was filed recently. Show less

    • Telecommunications
    • 700 & Above Employee
    • Intern
      • Jun 2012 - Aug 2012

      Web application development, database management. Web application development, database management.

    • Higher Education
    • 700 & Above Employee
    • Tutor
      • Aug 2009 - May 2012

      Tutored Math, Physics and Computer Science courses.

    • Student Technician
      • Aug 2008 - May 2012

      Personal computer hardware/software technician.

    • Excel Research
      • May 2010 - Aug 2010

      Maze solving for a robotic mouse using microcontroller programming in C and assembly.

Education

  • Yale University
    Doctor of Philosophy - PhD, Medical Imaging
    2012 - 2018
  • Yale University
    Master's Degree, Electrical Engineering
    2012 - 2014
  • Lafayette College
    BS, Electrical & Computer Engineering
    2008 - 2012
  • Budhanilkantha School
    A Levels (High School), Physics, Chem, Math.
    1999 - 2008

Community

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