Anirudh Ramanathan's Email & Phone Number

💼 Past Experience

Anirudh Ramanathan's SummaryAnirudh Ramanathan has experience in both Cloud Native and Google Container Systems. He started out with Signadot, a software company that provides cloud-based software for managinglarge scale data. He is currently a advisor at Doc.AI, a company that is focused on open source software development. He also works on Apache Spark, a compiler for machine learning and metabolic applications. He is a committer to Spark with a focus on cluster management and scheduling. He also has experience in developing primitives for containerized stateful applications. He is a founding engineer on the Kubeflow project, which is focused on building a real-time GPS tracking system and an integrated communication system. He also has experience in working with Google's big data tools, such as Spark, Airflow, Tensorflow, Jupyter, andlift. He is a software engineer at NVIDIA, and is the current CTO at Signadot.

🎓 Education

Anirudh Ramanathan started his schooling at the age of nine, when he was born in Varanasi, Uttar Pradesh. He did his schooling at the Indian Institute of Technology (Banaras Hindu University) in Varanasi and got his undergraduate degree in Computer Science in 2020. From there, he proceeded to study at Texas A&M University in College Station, Texas, where he got his Master's degree in Computer Science in 2021. He then went on to earn his B. Tech in Electronics Engineering from the Indian Institute of Technology (Banaras Hindu University) in Varanasi in mid-2018. He then completed his business/commerce course at Stanford Continuing Studies in 2018. At Stanford, he also got his General degree in 2019.

💡 Technical & Interpersonal Skills

AnirudhRamanathan's Technical skills:Anirudh Ramanathan has experience with:-Cloud Native: Anirudh Ramanathan is currently a Advisor (Open Source) at doc.ai in Palo Alto, California.- Apache Spark: Anirudh Ramanathan has experience with Apache Spark with a focus on cluster management and scheduling.- Kubernetes: Anirudh Ramanathan has experience with Kubernetes controllersLead for the Big Data SIGHelm chart maintainer, bootstrap member of the Helm provisional boardRelease team for 1.4 and 1.11.- ML: Anirudh Ramanathan has experience with ML and containers.- Strategic initiative at the intersection of containers (GKE) and Machine Learning: Anirudh Ramanathan has initiated collaboration across Cloud AI and Google Kubernetes Engine teams.- SWE on GKE & Kubernetes: Anirudh Ramanathan is a leading development of open source Big Data tooling & frameworks around Kubernetes & Containers.(now a UG - https://github.com/kubernetes/community/tree/master/ug-big-data)* Worked on primitives for containerized stateful applications in Kubernetes.* Started the Kubernetes scheduler project in Apache Spark.- Founding engineer on the Kubeflow project. (https://github.com/kubeflow/kubeflow)* Working at the intersection of containers and: Spark, Airflow, Tensorflow, Jupyter, etc. Senior Software Engineer / Product Manager at Rockset from June 2018 to November 2019 (1 year 6 months) in San Mateo, California. Led engineering efforts in a growing team of engineers in a Sequoia and Greylock backed startup building an analytics DBaaS on containers. Following that, worked as the first fulltime product manager - on new features, user growth and customer success.- CTO at Signadot in San Francisco Bay Area. Best Kubernetes Developer Experience.- Technology degrees: Anirudh Ramanathan has a degree in Computer Science from Princeton University.