Dharmendra Nasit

Dharmendra Nasit is a skilled technology professional with a background in site reliability engineering and production engineering. Experience includes a role as a Site Reliability Engineer at Dream11, where Dharmendra designed a predictive scaling tool for automatic infrastructure scaling based on predicted concurrency. Subsequent positions include multiple tenures as a Production Engineer at Meta in Bellevue, Washington, and an internship at EY, where Dharmendra deployed a model on AWS using Django for API-driven results. Additional experience as a Platform Engineer at Quantiphi, Inc. involved deploying Big Data Spark pipelines. Educated at the Rochester Institute of Technology with a Master's degree in Computer Science and a Bachelor's degree in Information Technology from Bhartiya Vidya Bhavans Sardar Patel Institute of Technology, both with notable academic performance.