Paritosh Shirodkar
Senior Software Engineer at Morningstar
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolParitosh Shirodkar is a Senior Software Engineer with eight years of experience building production software across financial tech services and healthcare IT, currently driving engineering work at Morningstar. He holds a Master’s in Computer Science from Boston University and combines R&D experience with close collaboration with clinicians to translate clinical and business needs into pragmatic, user-focused solutions. Comfortable in in-person, hybrid, remote, and offshore team settings, he has shipped features from research prototypes to production systems. Paritosh is curious and quick to adopt new technologies, with a background that spans graduate research, teaching assistance, and hands-on help-desk support—evidence of both technical depth and strong stakeholder communication. His cross-domain experience gives him a practical lens on reliability and compliance considerations often crucial in healthcare and finance.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering, Computer Engineering, Bachelor of Engineering, Computer Engineering at Fr Conceicao Rodrigues College of Engineering Band Stand Bandra (West) Mumbai 400 050Master's degree, Computer Science, Master's degree, Computer Science at Boston University
Github Skills (19)
flask-application9
duplication7
svd7
movie6
recommendation-engine6
python5
recommendation-system4
web-application4
machine-learning4
storage4
aws-lambda4
big-data-analytics4
aws4
collaborative-filtering3
serverless3
Programming languages (3)
Github contributions (5)
This repository is for the Movie Recommendation System developed using the Restricted Boltzmann Machine Algorithm
Contributions:1 PR, 4 pushes, 1 branch in 2 years 10 months
pythonmovierecommendationmachine-learningboltzmann-machine
JainamS1996/Movie-Recommendation-System-Using-Restricted-Boltzmann-Machine
Sep 2018 - Sep 2018
This repository is for the Movie Recommendation System developed using the Restricted Boltzmann Machine Algorithm
Contributions:4 commits in 1 day
movierecommendationmachine-learningboltzmann-machinerecommendation-system
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