Aananth V standing in front of the Golden Gate Bridge

Aananth V

Software engineer interested in systems, networking, and machine learning.

I’m currently pursuing a master’s in computer science at UT Austin. Before that, I spent four years at Google working on production RPCs, Cloud TPU networking, and the Linux networking stack.

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Experience

Google

Senior Software Engineer

I worked on the Prod RPCs team, developing the foundational Stubby and gRPC stacks that carry more than 95% of Google’s exabyte-scale network traffic.

Cloud TPU networking. Improved training and inference goodput by approximately 50–100% through changes spanning XLA collectives, a new gRPC transport, and the Linux networking stack.

TCP visibility. Tech led Fathom, a TCP observability effort for high-performance workloads; upstreamed Linux kernel telemetry and helped identify and fix a TCP Fast Open bug in mainline.

Open-source gRPC. Contributed vulnerability fixes, performance optimizations, and telemetry improvements to the gRPC repository.

Reliability and modernization. Led a two-year removal of a legacy streaming protocol and rebuilt RPC benchmarking, reducing test flakiness from roughly 10% to under 2%.

Samsung R&D Institute

Research and software engineering intern

Developed a knowledge-graph recommendation system using graph convolutional networks, and an earlier simulator for DAG-based blockchain protocols.

Arcesium

Software engineering intern

Built a configuration-driven search framework that reduced the time needed to deploy new search functionality by 20×.

Education

University of Texas at Austin

MS in Computer Science

National Institute of Technology, Tiruchirappalli

BTech (Honors) in Computer Science · Institute Gold Medalist · Rank 1/119

Publication

Transformer Based Motion In-Betweening

With Pavithra Sridhar, Madhav Aggarwal, and R. Leela Velusamy. A transformer-based system for synthesizing 3D animation between sparse keyframes.

ACCV Workshops, 2022

Writing