Bicycle
Vinay Srini has a diverse work experience spanning over two decades. Vinay started their career as a Software Engineer at Aztecsoft in 2000 and later worked as a Software Engineer at SeeBeyond in 2003. In 2004, they joined SpikeSource Inc. as a Staff Engineer.
In 2010, Vinay joined AppDynamics as a Principal Software Engineer and played a crucial role in developing the company's platform. Vinay later served as a Sr. Director of Engineering, APM, where they focused on delivering features and scaling server components. As a Platform Architect, Vinay contributed to building AppDynamics' next-generation monitoring and alerting platform. Their tenure at AppDynamics lasted until 2020.
Currently, Vinay is working as a Platform Architect at Bicycle. Here, they enable teams to monitor and drive Real-Time Revenue Operations by leveraging their expertise in building software businesses.
Throughout their professional journey, Vinay has demonstrated a strong technical acumen and dedication to scaling data ingestion pipelines, supporting existing infrastructure, and delivering innovative solutions.
Vinay Srini completed their Bachelor's degree in Electronics and Communication from Bangalore University. Vinay pursued their education at the university from 1995 to 1999.
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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