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Vikas Kumar is listed as Senior Data Engineer at Tempus Labs at Tempus AI, based in Chicago, Illinois, United States. AeroLeads shows a work email signal at netl.doe.gov and a matched LinkedIn profile for Vikas Kumar.
Vikas Kumar previously worked as Senior Data Engineer at Tempus Ai and Data Engineer at Tempus Ai. Vikas Kumar holds Master Of Science - Ms, Computer Science, 3.96/4 from Penn State University.
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With a foundation in Computer Science from Penn State University, my role at Tempus AI focuses on enhancing healthcare data interoperability and system efficiency. Our team developed a gateway service that acts as a single entry point for varied data modalities, which included implementing OAuth 2.0 for secure access and establishing Tempus as a pioneer in FHIR adoption.We've also innovated real-time analytics for monitoring orders across 1000+ healthcare institutions and designed batch processing pipelines for large-scale data handling. My contributions have not only advanced Tempus AI's capabilities but also set new benchmarks in healthcare data management and analysis.
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Chicago, Illinois, United States
Developed, optimized, and maintained a Tempus gateway service that provides a single entry point for multiple data modalities (hl7, fhir, imaging) to providers and third-party labs that require ordering workflows. Implemented OAuth 2.0 Client Credentials Flow for authentication and authorization, WAF rules, rate limiting for a publicly exposed.
Pioneered developing an analytics platform using event sourcing (∼3M events per day) with near real-time dashboards for observability for the orders received by Tempus through EMR systems and on sent-out results. The BI reports were used to track the lifecycle of each order received from 1000+ healthcare institutions along with completion checks and.
State College, Pennsylvania Area
Funded by National Energy Technological Laboratory, developed a physics-informed deep learning method that combined numerical simulations and machine learning to explore CO2 storage site behavior in various operational scenarios. Physics-based partial differential equations are used to modify the loss term leading to 5-10 times better performance than.
Courses: Deep Learning, Numerical Linear Algebra, Distributed Systems, Computer Vision, Artificial Emotion Intelligence, Machine Learning.
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Vikas Kumar works for Tempus AI.
Vikas Kumar is listed as Senior Data Engineer at Tempus Labs at Tempus AI.
AeroLeads has found 1 work email signal at @netl.doe.gov for Vikas Kumar at Tempus AI.
Vikas Kumar is based in Chicago, Illinois, United States while working with Tempus AI.
Vikas Kumar has worked for Tempus Ai and Penn State University.
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Vikas Kumar holds Master Of Science - Ms, Computer Science, 3.96/4 from Penn State University.
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