Parshva Shah is a software engineer and MS Computer Science candidate at Northeastern University with eight years of hands-on experience building full-stack web and hybrid mobile applications. He has worked across the MEAN stack, Django/Python backends, and Ionic-based mobile apps, and has a strong foundation in algorithms and data structures honed through multiple teaching assistant roles. Parshva scored in the top 0.25% in GATE CSE (All India Rank 272 of 108,495), reflecting rigorous problem-solving skills that he brings to both product development and technical instruction. He has practical experience designing automated evaluation pipelines (unit tests for Zybook assignments) and improving legacy codebases, showing an attention to engineering quality and developer experience. Based in Boston, he blends academic excellence (3.87/4 MS) with real-world delivery across startups and university settings.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, 3.87/4, Master of Science - MS, Computer Science, 3.87/4 at Northeastern University
Bachelor of Engineering - BE, Computer Engineering, 8.51/10, Bachelor of Engineering - BE, Computer Engineering, 8.51/10 at K J Somaiya College of Engineering
The Vehicle Monitoring And Routing System (VMARS) makes use of GPS to provide the exact location of the vehicle. It allows a parent to monitor the vehicle in real-time using a GPS-based device possessed by its driver. It is also capable of finding the shortest route to reach the destination passing through all the checkpoints which uses our proposed algorithm to find the same. This system also possesses the facility of speed monitoring and giving sound alerts to the driver if he over speeds his vehicle. Also, the system gives accident alerts to the vehicle admin via SMS.
Contributions:9 commits, 1 push, 1 branch in 1 day
drivergpsmonitoringsmsvehicle-tracking
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