Bicycle
Udit Sharma has a diverse work experience, starting as an Intern at Verse Innovation Pvt. Ltd in 2010. Udit then worked as a Development Engineer at Pramati Technologies from 2011 to 2012, where they contributed to the development of Qontext, a social collaborative portal for enterprises. Udit then joined Autodesk in 2012, initially as a Software Engineer and later advancing to the role of Senior Software Engineer and finally Principal Engineer. At Autodesk, they worked on various software engineering projects before moving on to Blue Yonder in 2018. At Blue Yonder, Udit served as a Technical Architect, focusing on the Assortment Management Product, which aimed to optimize product assortment, maximize sales, and profitability for customers. In 2020, Udit joined Bicycle as a Principal Engineer, where their specific responsibilities are not provided.
Udit Sharma attended DA-IICT from 2007 to 2011, where they completed their B-Tech degree in Information Technology. Prior to that, they studied at Govt Hr. sec School Tonk from 2005 to 2006, obtaining their senior secondary school degree. In addition to their formal education, they also obtained certifications in Learning Docker and Learning Kubernetes from LinkedIn in April 2020.
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Bicycle
Built to remove barriers in data insights that keep teams siloed — Bicycle is a Real-Time Insights & Operations platform that sits at the intersection of your Event Streaming Platform and Data Warehouse, to enable real-time insights, alerts, and automation. Bicycle can slice data by business dimension (e.g., by geography) and across software dimension (e.g., by application speed) to quicky find specific opportunities to impact the bottom line. Imagine a set of payment issues impacting only specific app users, login issues only impacting certain geographies, or a fast-growing customer loyalty segment that can be better revenue optimized. As data streams in, Bicycle automatically identifies and correlates anomalies using a rich set of tools and models. From the user-friendly interface, you can build a live software business graph, drill down into DevOps, set alerts, and drive automated responses to resolve issues quickly. Whether you’re a data scientist or a product owner with limited technology training, all of these insights can be self-served. Book a demo with us today at bicycle.io