“Swapnil always applies himself fully to every project. He has great ideas and deep technical knowledge. I'd recommend him for any project. He was an early user of software that I wrote at Philips and gave me a lot of valuable recommendations for improving it.”
About
Activity
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Happy Friday! Excited to share some updates about our Product Management newsletter, The Product Journey! 🎉 Ankita Sancheti and I launched our…
Happy Friday! Excited to share some updates about our Product Management newsletter, The Product Journey! 🎉 Ankita Sancheti and I launched our…
Liked by Swapnil Vinod
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This is such a cool marketing campaign. Much like the Circle to Search Line.
This is such a cool marketing campaign. Much like the Circle to Search Line.
Liked by Swapnil Vinod
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The DocBuddy Journal is a great place to get insight on AI in healthcare. Thanks Erik Sunset for having me on your podcast! hashtag #AI…
The DocBuddy Journal is a great place to get insight on AI in healthcare. Thanks Erik Sunset for having me on your podcast! hashtag #AI…
Liked by Swapnil Vinod
Experience & Education
Licenses & Certifications
Patents
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Efficient management of visible light still images and/or video
Issued US US 10162935B2
A visible light imaging system includes acquisition circuitry, an image generator that generates at least one of a visible light image and a visible light video with light sensed by the acquisition circuitry, a memory, and a controller. The controller, in response to executing instructions of the memory: launches a scan application, visually presents a first soft tool that retrieves an identification of a subject of interest to an imaging study based on a user input, obtains at least one of a…
A visible light imaging system includes acquisition circuitry, an image generator that generates at least one of a visible light image and a visible light video with light sensed by the acquisition circuitry, a memory, and a controller. The controller, in response to executing instructions of the memory: launches a scan application, visually presents a first soft tool that retrieves an identification of a subject of interest to an imaging study based on a user input, obtains at least one of a visible light image and a visible light video, which is generated by the acquisition circuitry and the image generator for the subject, associates the retrieved identification of the subject and the at least one of the image and the video, and transfers the at least one of the image and the video, the identification of the subject, and the association to a data repository.
Honors & Awards
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Grand Prize Winner - Philips Innovation Contest
Philips Healthcare (Enterprise Imaging & Clinical Informatics)
Developed Google Glass solution for capturing patient images and reconciling in PACS server. Integrated with other modules of the end-to-end solution developed by the prize winning team.
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AT&T and Facebook Mobile App Hackathon(Palo Alto) Winner
Apigee, Apery.io(Tiggzi)
First Prize for Best use of Apigee User grid APIs
Third Prize for Best use of Apery.io (Tiggzi)
Participated in 2 day hackathon for creating a working mobile application. Created a fitness motivation app using Facebook APIs, Apigee Usergrid & Apery.io(Tiggzi) framework.
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Our Mobile Platform & Solutions B2B Lab and Samsung Electronics America's MX B2B team hosted an incredible 2-day #Frontline Worker Innovation Summit…
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