Aditya N

Aditya N is a skilled MLops Engineer with experience at Quantiphi since June 2021, where significant contributions include reducing model retraining time through the implementation of an end-to-end pipeline with Kubeflow and optimizing GPU resource utilization with Time Sharing GPU node pools. Previously, as an MLops Intern, Aditya set up machine learning pipelines and automated deployment flows using Jenkins for Kubernetes, along with developing a centralized GCP costing dashboard for stakeholders. Additional experience includes serving as a Technical Volunteer at GirlScript Foundation, where Aditya organized a successful coding bootcamp, and as a Business Intelligence Intern at entomo, gaining skills in Angular, Spring, and Java. Early contributions to open-source projects involved Python web scraping scripts for Covid-19 data. Aditya holds a Bachelor of Engineering in Information Technology from Visvesvaraya Technological University.