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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
About NN
About NN
Posts
Future Blog Post
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Blog Post number 4
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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
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Blog Post number 2
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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
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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
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2 
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
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
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.
