Nripesh Parajuli
Senior Machine Learning Engineer at Caption Health- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
English Full professional proficiency
-
Nepali Native or bilingual proficiency
-
Hindi Professional working proficiency
Topline Score
Bio
Credentials
-
Machine Learning
CourseraMay, 2014- Nov, 2024
Experience
-
Caption Health
-
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.
-
-
-
Yale University
-
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.
-
-
-
Yale University-
-
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.
-
-
-
IBM
-
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
-
-
-
Nokia Bell Labs
-
Telecommunications
-
700 & Above Employee
-
Intern
-
Jun 2012 - Aug 2012
Web application development, database management. Web application development, database management.
-
-
-
Lafayette College
-
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 -
Yale University
Master's Degree, Electrical Engineering -
Lafayette College
BS, Electrical & Computer Engineering -
Budhanilkantha School
A Levels (High School), Physics, Chem, Math.