# Kinara Shah > Staff Software Engineer at SUSE (Rancher Labs) Location: San Francisco Bay Area, United States Profile: https://flows.cv/kinara Making Kubernetes easy to use at Rancher Labs (acquired by SUSE), Software Engineering (2017 - Present) Masters in Computer Science @USC, focused on Machine learning and Data Science (2015 - 2017) Working for startups has taught me to embrace new challenges and to constantly keep learning. Always excited to talk about new technologies. Connect at kinarashah108@gmail.com ## Work Experience ### Staff Software Engineer @ SUSE Jan 2021 – Present | Cupertino, California, United States https://www.suse.com/c/suse-acquires-rancher/ ### Senior Software Engineer @ Rancher Labs Jan 2020 – Jan 2021 | Cupertino ### Software Engineer @ Rancher Labs Jan 2017 – Jan 2020 | Cupertino Rancher is an open source company that delivers Kubernetes as a Service. We make Kubernetes easy to use and adapt at scale for 20k production environments and >250 customers. - Multi-Cluster Applications enable users to manage helm applications across multiple clusters - Cloud Credentials decouple user access data and store in secrets for increased security - Cisco Federated Rancher project responsible for three microservices for cross region communication - Project Network Isolation make it easy to use network policies with one click - Introduced state and health monitoring, upgrade and rollback, context management for custom resources https://github.com/kinarashah ### Software Developer @ USC Center for Systems and Software Engineering Jan 2017 – Jan 2017 | Greater Los Angeles Area • Worked on backend for web based application to provide software quality attribute analysis as a service. • Automating mining tasks like collecting total time spent on projects from Jira reports and analyzing software architecture diagrams. ### Data Science Intern @ Skyhigh Networks Jan 2016 – Jan 2016 | Campbell I am very glad and proud to have worked with some of the best people in industry. This internship gave me an opportunity to explore various machine learning and natural language processing techniques. • Programmed classification models to automate service action mappings for any cloud service provider. • Displayed supporting data and metrics to analyze real time performance of the model – AngularJS. • Deployed the system as a REST API to automatically get mappings for any unseen action – Python, Flask, Gunicorn. ### Student Worker @ Information Sciences Institute Jan 2016 – Jan 2016 | Merina Del Rey • Annotate research papers for developing tools to help students read scientific literature. • Major issues faced were data collection and inter-annotator inconsistency. ### Research Intern @ Genesis Artificial Intelligence Jan 2015 – Jan 2015 My first internship in the field of data science and machine learning and my excitement hasn't changed a bit since then. • Developed a prototype of real time recommendation system for large scale industrial water cooling process. • Programmed State Classification and Action Recommendation models in Python & R, accuracy : 83% • Implemented the system to save plc cost by 20% and give more meaningful recommendations. ### Software Engineering Intern @ Roars Technologies Pvt. Ltd. Jan 2014 – Jan 2014 -Designed models using HTML, CSS, JavaScript according to varying user portfolios. -Increased customer interaction by 67% through level oriented layouts. ### Chairperson @ IEEE Jan 2013 – Jan 2014 ### Editor in Chief @ IEEE Jan 2012 – Jan 2013 ### Administrative Assistant @ ISTE Jan 2013 – Jan 2014 ## Education ### Master of Science (MS) in Computer Science University of Southern California Viterbi School of Engineering ### Bachelor of Technology (BTech) in Information Technology Nirma University, Institute Of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/kinarashah --- Source: https://flows.cv/kinara JSON Resume: https://flows.cv/kinara/resume.json Last updated: 2026-04-12