Sakshee Jain
Member Of Technical Staff - 4 at Nutanix
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolSakshee Jain is a seasoned software engineer with 9 years of experience building cloud-native, full-stack systems and currently a Member of Technical Staff - 4 at Nutanix after several impactful roles at Adobe. Proficient in Java and Python, she leverages Spring Boot, Docker, AWS (S3, CloudWatch, RDS, DynamoDB), Jenkins and robust database design to deliver reliable, production-grade services. Her background includes performance tuning, API and device-management portal development, and automation of asynchronous workflows using Celery and WebSockets from earlier work at Maximl. An active open-source contributor, Sakshee improved test coverage for the well-known SUSI.AI server, demonstrating a focus on quality and maintainability beyond feature delivery. She combines strong academic roots from IIIT Vadodara with hands-on experience across enterprise and open-source ecosystems, often surfacing subtle reliability issues through disciplined testing and automation.
9 years of coding experience
7 years of employment as a software developer
High School Diploma high school, High School Diploma high school at Jawahar Navodaya Vidyalaya - JNVNanodegree Java Web Developer, Nanodegree Java Web Developer at UdacityBachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Indian Institute of Information Technology Vadodara
Github Skills (5)
javas10
junit10
java10
testing10
api-testing8
Programming languages (8)
Github contributions (5)
fossasia/susi_server
Oct 2018 - Feb 2019
SUSI.AI server backend - the Artificial Intelligence server for personal assistants https://api.susi.ai
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:12 commits, 16 PRs, 14 comments in 3 months
Contributions summary:Sakshee primarily focused on increasing test coverage and ensuring the quality of the SUSI.AI server backend. Their contributions involved writing and adding unit tests for various components, including JSONException, Config, NominatimService, MenuItem, Coordinate, Client, and AbstractGeoPoint. These tests help to identify potential bugs and improve the overall reliability and robustness of the system.
apipythonartificialmachine-learningassistants
sakshee-19/imad-app-v2
Feb 2017 - Jul 2017
Contributions:213 pushes in 5 months
git-repositorypushprssubmit
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