About

I am a PhD student in the Computer Science department at Carnegie Mellon University. I am advised by Prof. Srinivasan Seshan and Prof. Anthony Rowe.

I am working on building a world-scale federated localization and mapping system called OpenFLAME. OpenFLAME enables the next generation of location-based applications, including large-scale mixed-reality, taking us closer to the dream of the Spatial Web – the web where data is associated with and rendered against physical spaces.

OpenFLAME Logo

I also worked with Netflix on designing the bitrate ladder algorithm for 2D video streaming that is in the process of being deployed. Previously, I worked at Microsoft Research on building a large-scale data discovery framework and optimizing inter-datacenter network.

Select Publications

OpenFLAME: Building a large scale federated localization and mapping service

In submission. arXiv.

Sagar Bharadwaj, Luke Wang, Michael Liang, Harrison Williams, Ivan Liang, Srinivasan Seshan, Anthony Rowe

Renderfusion: Balancing local and remote rendering for interactive 3D scenes

ISMAR, 2023

Edward Lu, Sagar Bharadwaj, Mallesham Dasari, Connor Smith, Srinivasan Seshan, Anthony Rowe

Optimizing Network Provisioning through Cooperation

NSDI, 2022

Sagar Bharadwaj*, Harsha Sharma*, Parth Thakkar*, Ranjita Bhagwan, Venkata N Padmanabhan, Yogesh Bansal, Vijay Kumar, Kathleen Voelbel | *Equal contribution

Discovering related data at scale

VLDB, 2021

Sagar Bharadwaj, Praveen Gupta, Ranjita Bhagwan, Saikat Guha

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Experience

Video Streaming Intern

Netflix

June 2022 - February 2024

Los Gatos

Designed a multi-objective optimization algorithm to generate bitrate ladders for 2-D video streaming that balances QoE and CDN efficiency.

Research Fellow

Microsoft Research

July 2019 - July 2021

Bangalore

Worked on disocvering data at scale (scale of several petabytes) and optimizing inter-datacenter networks spanning the globe.

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