Hastu Kshitij
New York, New York,United States
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Hastu Kshitij is a seasoned engineering leader and Staff Software Engineer currently at Google, with extensive experience in Machine Learning, Artificial Intelligence, and building scalable backend systems. He has a strong background in leading teams and projects focused on areas like recommendation systems, natural language processing, and MLOps. Hastu is passionate about leveraging technology to solve complex problems and has a proven track record of delivering impactful products. He is also an active voice in the tech community, sharing his insights through blogs and talks.
Professional Summary
Hastu Kshitij's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Staff Software Engineer at Google
Leads and contributes to high-impact machine learning projects, focusing on developing and deploying cutting-edge AI solutions within Google's ecosystem.
Former Engineering Lead at ShareChat
Led engineering teams to build and scale machine learning infrastructure and product features, significantly impacting user engagement and platform capabilities in a rapidly growing social media environment.
Published Author and Speaker
Shares knowledge and insights on machine learning, MLOps, and software engineering through articles on Medium and potentially other platforms, contributing to the broader tech community's understanding.
Expertise in Recommendation Systems & NLP
Demonstrated deep expertise in designing, developing, and deploying sophisticated recommendation engines and Natural Language Processing models in production environments.
Educational Background
Bangalore University
The Brigade School, Bangalore
B.G.S.I.R.S
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Company Overview
MoEngageMoEngage is an insights-led customer engagement platform, built for the customer-obsessed marketers and product owners. It enables hyper-personalization at scale across multiple channels like mobile push, email, in-app messaging, web push, SMS, and on-site messaging. Brands use MoEngage to understand customer behavior with its powerful analytics and engage them with AI-powered, personalized communication to improve retention and LTV.
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