Summary
Sapna Jadhav is a Hybrid Cloud Performance Analyst and seasoned software engineer with 9 years of experience building automation and performance frameworks across cloud, networking, and security domains. She has driven major efficiency gains—cutting large-scale hybrid cloud test time by 70%, reducing blockchain upgrade testing from 6 to 1.5 hours, and slashing regression cycles by over 80%—by combining distributed systems expertise with practical tooling in Python, C++, and Java. Comfortable with Kubernetes, Docker, and hybrid cloud stacks, she also contributes to open-source projects and explores LLMs and GenAI for engineering workflows. With a Master’s in Computer Science from Pune University and a track record at IBM, VMware, and A10 Networks, she excels at translating complex system requirements into reliable, automated validation pipelines.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Savitribai Phule Pune University
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at K.K.Wagh institute of Engineering Education & Research