{"id":13400,"date":"2025-04-18T08:12:39","date_gmt":"2025-04-18T16:12:39","guid":{"rendered":"https:\/\/live-cometml.pantheonsite.io\/?page_id=13400"},"modified":"2025-06-12T17:00:30","modified_gmt":"2025-06-12T17:00:30","slug":"paarth-chothani","status":"publish","type":"page","link":"https:\/\/www.comet.com\/site\/convergence\/paarth-chothani\/","title":{"rendered":"Paarth Chothani"},"content":{"rendered":"\n
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\u2190 BACK TO EVENT PAGE<\/a><\/p>\n\n\n\n

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\"Paarth<\/figure>\n<\/div>\n\n\n\n
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Paarth Chothani<\/h1>\n\n\n

Staff Software Engineer at Uber<\/h2>\n<\/div>\n\n\n\n
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Paarth Chothani is a Staff Software Engineer on the Uber AI GenAI\/CoreML team in the San Francisco Bay area. He specializes in building distributed systems and GenAI solutions at scale. He previously worked on building large-scale systems at Amazon and Microsoft.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

May 13th, 3:05 \u2013 3:35PM ET<\/p>\n\n\n\n

Uber’s Oncall Copilot Accuracy Journey<\/h2>\n\n\n\n
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In today\u2019s fast-paced tech environment, maintaining robust on-call operations is crucial for ensuring the seamless functioning of services. Modern platform engineering teams face the challenge of efficiently managing on-call schedules, incident response, and communication during critical moments, customer support on slack channels. There is productivity loss due to waiting for oncall support. We at Uber solved this problem by building Gen AI Bot to assist oncalls\/users in solving issues and used that experience to Build several components for Gen AI platform.<\/p>\n\n\n\n

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