Rachit Saluja
Machine Learning Engineer at Galileo CDS- Claim this Profile
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English Full professional proficiency
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Hindi Professional working proficiency
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Punjabi Native or bilingual proficiency
Topline Score
Bio
Experience
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Galileo CDS
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United States
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Hospitals and Health Care
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1 - 100 Employee
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Machine Learning Engineer
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Jul 2020 - Present
Machine learning and computer vision for neuro-radiology. ML systems for differential diagnostics. Machine learning and computer vision for neuro-radiology. ML systems for differential diagnostics.
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Penn Medicine, University of Pennsylvania Health System
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United States
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Hospitals and Health Care
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700 & Above Employee
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Research Engineer - Machine Learning
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Sep 2019 - Jul 2020
NLP and Vision for Healthcare and Meta-science. NLP and Vision for Healthcare and Meta-science.
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Galileo CDS
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United States
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Hospitals and Health Care
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1 - 100 Employee
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Machine Learning Engineer
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Jan 2019 - May 2019
Deep learning and computer vision for radiology. Deep learning and computer vision for radiology.
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The Wharton School
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United States
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Higher Education
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700 & Above Employee
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Research Assistant
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May 2018 - 2019
Statistical modeling for cash-flow between start-ups and venture capitalists. Data visualization of networks and machine learning models for analysis. Statistical modeling for cash-flow between start-ups and venture capitalists. Data visualization of networks and machine learning models for analysis.
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Ghost Robotics
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United States
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Industrial Machinery Manufacturing
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1 - 100 Employee
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Robotics, Perception and Autonomy Intern
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May 2018 - Jun 2018
ML framework for path planning and obstacle detection using reinforcement learning and computer vision. ML framework for path planning and obstacle detection using reinforcement learning and computer vision.
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Università degli Studi di Parma
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Italy
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Higher Education
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700 & Above Employee
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Technical Intern
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Mar 2017 - Apr 2017
Developed compression algorithms using convex optimization and machine learning for transmitting data within an IoT ecosystem. Developed compression algorithms using convex optimization and machine learning for transmitting data within an IoT ecosystem.
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Technical Intern | IoT Engineer
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Sep 2015 - Feb 2017
Worked on a cyber physical system testbed using CoAP based 6LoWPAN ipv6 networks for low powered embedded and sub Ghz devices from Texas Instruments (CC2538, CC2650, and CC1310) with Contiki OS running on nodes. Worked on a cyber physical system testbed using CoAP based 6LoWPAN ipv6 networks for low powered embedded and sub Ghz devices from Texas Instruments (CC2538, CC2650, and CC1310) with Contiki OS running on nodes.
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Indian Institute of Space Science and Technology
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India
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Higher Education
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100 - 200 Employee
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Summer Research Fellow
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May 2016 - Jul 2016
Applied convex optimization and image processing to decrease reconstruction times of holograms. Applied convex optimization and image processing to decrease reconstruction times of holograms.
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SanDisk®
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United States
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Semiconductor Manufacturing
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700 & Above Employee
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Software Engineer - Intern
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Jul 2015 - Aug 2015
Developed UI automation scripts to perform regression testing for micro SD cards. Developed UI automation scripts to perform regression testing for micro SD cards.
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Indian Institute of Science (IISc)
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India
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Research
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700 & Above Employee
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Research Intern
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May 2014 - Jul 2014
Computational physics to simulate experiments for ion-trap based quantum computing architectures. Computational physics to simulate experiments for ion-trap based quantum computing architectures.
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Education
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Cornell University
Doctor of Philosophy - PhD, Electrical and Computer Engineering -
Cornell Tech
Doctor of Philosophy - PhD, Electrical and Computer Engineering -
University of Pennsylvania
Master of Science - MS, Electrical Engineering -
PES University
Bachelor of Engineering - BE, Electrical and Electronics Engineering -
The Lawrence School - Lovedale
High School