Bicycle
Yashaswi Pathak has a diverse work experience, with their most recent position being a Senior Software Engineer at Bicycle since September 2022. In this role, they lead a team of engineers and is responsible for developing and managing Bicycle's core Analytical and Operationalization platform. Yashaswi also collaborates with the Head of Product to enhance the data and user onboarding experience. Prior to this, Yashaswi worked as a Software Engineer at Bicycle from May 2021 to August 2022.
Before joining Bicycle, Yashaswi worked at IIIT Hyderabad, where they held various roles. From May 2020 to March 2021, they served as a Graduate Research Assistant. As an Undergraduate Student Researcher from May 2018 to April 2020, they gained valuable research experience. Yashaswi also worked as a Teaching Assistant from January 2019 to April 2019 and from August 2018 to December 2018, contributing to the educational efforts at the institution.
Yashaswi's career also includes a role as a Machine Learning Researcher at 99andBeyond. Yashaswi held this position from April 2020 to October 2020. Overall, Yashaswi has a strong background in software engineering, research, and teaching.
Yashaswi Pathak pursued a Dual Degree program at the International Institute of Information Technology Hyderabad (IIITH) from 2016 to 2021. During this time, they obtained a Bachelor's degree in Computer Science (B.Tech) as well as a Master's degree by Research in Computational Natural Sciences (M.S.).
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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