UpTimeAI
Mohammed Moosa Ashik is a Senior Application Engineer at UptimeAI Inc. since February 2024, previously serving as a Chemical Engineer at Honeywell Automation Ind. Limited from July 2022 to February 2024. Key contributions at Honeywell included developing fault and symptom models, optimizing asset performance monitoring, and preparing risk and financial reports. Prior experience encompasses roles as a Graduate Engineer Trainee at Kothari Petrochemicals Ltd. and a Technical Executive Trainee at SV Chem Intermediates Pvt Ltd, along with a project internship at Chennai Petroleum Corp Limited focused on product maximization. Mohammed holds a Master of Business Administration in Business Analytics from SRM Institute of Science and Technology, anticipated in 2026, a B.Tech in Chemical Engineering from St Peter's College of Engineering and Technology (2016-2019), and a Diploma in Petrochemical Engineering from CPCL Polytechnic College (2013-2016).
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UpTimeAI
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UptimeAI is the first artificial intelligence based plant monitoring software, combining predictive maintenance with explainable failure modes/recommendations, and self-learning workflows to mitigate equipment failures and performance loss in process industries.