Jaimin Shah

Jaimin Shah has a diverse work experience spanning multiple companies and roles. Jaimin began their career in 2016 as a Graduate Research Assistant at New York University, where they worked on a project to design a Virtual Reality application and improve the latency performance in Live VR streaming.

In 2017, Jaimin joined Collibra as a Software Development and Research Intern, where they focused on ML/NLP/AI. Later that year, they also worked as a Graduate Teaching Assistant at NYU Tandon School of Engineering, assisting students in Machine Learning.

Jaimin continued their academic pursuits at New York University, where they served as a Graduate Teaching Assistant for Distributed Systems and conducted research on Next Gen 5G with mm wave as a Graduate Research Assistant. Jaimin developed a solution to automate the existing NS-3 mmwave simulator, significantly reducing simulation time for generating 5G traces.

In 2018, Jaimin worked at LifeCo, Inc. as a Software Engineer, specializing in Machine Learning. Jaimin then transitioned to roles at Zignage LLC, Cloudistics, and Compose.Cloud, where they served as a Backend Software Engineer and Full Stack Engineer, respectively.

Currently, Jaimin is employed as a Senior Software Engineer at Fungible, Inc., where they work on software development and engineering projects.

Throughout their career, Jaimin has gained expertise in various programming languages and technologies, including Golang, Hadoop, Spark, Map Reduce, Paxos, BitCoin, Git, C++, Python, and Shell scripting.

Jaimin Shah completed their Bachelor of Engineering (B.E.) in Electronics and Telecommunication from Sardar Patel Institute of Technology, University of Mumbai, from 2012 to 2016. Jaimin then went on to pursue a Master's degree in Computer Engineering from New York University, from 2016 to 2018. In addition to their formal education, Jaimin also obtained certifications including Successful Linux and Python Completion with Distinction from Spoken tutorial, IIT BOMBAY, and was recognized as a winner in the Texas Instruments India Analog Maker Competition, organized by Texas Instruments.