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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

AI for IT Operations (AIOps) - Using AI/ML for Improving IT Operations

Published in In Proceedings of Society of Cable Telecommunications Engineers (SCTE) 2022 Fall Technical Forum, Philadelphia, United States of America (NCTA), 2022

This paper is about the innovative applications of AI for improving software system observability/reliability

Recommended citation: Hongcheng Wang, Praveen Manoharan, Nilesh Nayan, Aravindakumar Venugopalan, Abhijeet Mulye, Tianwen Chen, Mateja Putic. “AI for IT Operations (AIOps) - Using AI/ML for Improving IT Operations”. In Proceedings of Society of Cable Telecommunications Engineers (SCTE) 2022 Fall Technical Forum, Philadelphia, United States of America. NCTA
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Building a scalable real-time ML inference platform for AIOps

Published in In Proceedings of 2023 Machine Learning Developers Summit (MLDS), Bengaluru, India (ADaSci), 2023

In this paper, we present the method of building a scalable, real-time inference platform for large-scale time-series anomaly detection and root-cause analysis solutions, built as a part of AI For Operations (AIOps) tool.

Recommended citation: Praveen Manoharan, Nilesh Nayan, Aaditya Sharma, Aravindakumar Venugopalan. “Building a scalable real-time ML inference platform for AIOps”. In Proceedings of 2023 Machine Learning Developers Summit (MLDS), Bengaluru, India. ADaSci
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.