Changelogs Are Not Enough: Writing Community Memory for Kubernetes
References
Session Categories
Which track are you applying for?
Speakers
I currently work as a Software Developer at IBM at the Data & AI Division, on IBM watsonx™, which is our portfolio of AI products that accelerates the impact of generative AI in core workflows to drive productivity.
I am an Undergraduate Researcher for Software Engineering at UIUC under Prof. Darko Marinov. I am a Research Associate at Georgia Institute of Technology, working at the intersection of ML, systems biology, and interpretable AI, exploring computational approaches to understanding complex systems. I am Biomedical XAI Researcher at Dartmouth College where my research focuses on scalable, low-burden approaches for personalized prediction and monitoring of schizophrenia.
I previously worked at Niramai Health Analytix, a deep tech startup focusing on Breast Cancer and used ML frameworks as a Research Intern at Indian Institute of Technology Hyderabad, to predict gene regulatory networks. I have also built cognitive tools for reducing the onset of Dementia as a student entrepreneur. I led the largest technical community on campus, also held workshops and have given talks on Machine Learning, NLP, and Data Science.
I’ve been admitted to top summer schools at Oxford University, London and Massachusetts Institute of Technology which specialize in the applications of AI in Healthcare. I am Google KaggleX Mentee, and an AWS Scholar and have been awarded merit scholarships. I am a strong advocate for representation in STEM, and recognized as a High Impact APAC Ambassador for the Women In Data Science Community, an initiative by Stanford University. I am also a Harvard WE Tech Fellow. I am a published AI researcher, a technical keynote speaker and have spoken at universities like Purdue University, IIT Madras, enterprises like Google, Microsoft Research, Intuit, and global conferences like Kubecon+CloudNative Con, MCP Dev Summit, Women Who Go, and FOSS United.