Sashank Appireddy
Software Engineer II at Uber
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolSashank Appireddy is a software engineer with eight years of experience building high-performance distributed systems, networking and cloud-native solutions, currently at Uber in Palo Alto. He has a strong systems programming background in C++, C and Python and a track record of improving packet-processing throughput and designing lock-free data paths and async control-plane programming from his Riverbed work. Sashank’s contributions to the popular google/cadvisor project—adding Mesos containerizer support and refining container metrics—reflect his hands-on open-source impact on container observability. He combines deep networking expertise (SDN, TCP/IP, MPLS) with practical use of Linux perf tools and pub/sub backends like Redis/etcd to solve real-world scale and performance problems. Notably, he has designed flatbuffer schemas and implemented protocol-level route injection and reflection for SD-WAN topologies, showing both low-level and architectural fluency.
8 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster of Science (MS), Computer Science, 4/4, Master of Science (MS), Computer Science, 4/4 at North Carolina State University
English, Hindi, Telugu
Github Skills (9)
mesos10
go10
containerization10
metric10
apidoc9
api9
prometheus9
docker8
dockers8
Programming languages (1)
Github contributions (3)
google/cadvisor
May 2018 - Oct 2019
Analyzes resource usage and performance characteristics of running containers.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 commits, 8 PRs, 41 comments in 1 year 4 months
Contributions summary:Sashank primarily contributed to the `mesos` containerizer support within the `cadvisor` repository. Their work involved adding and modifying code to collect container stats launched by the mesos containerizer. This included creating handlers, fetching container information, and ensuring the accurate collection of labels for containers launched via MesosCommandExecutor. Furthermore, the user made updates to ensure proper handling of empty mesos containers and adjusted code to rename metrics labels.
containerscharacteristicsdockeranalyzesperformance
uber/cadvisor
May 2018 - Sep 2019
Analyzes resource usage and performance characteristics of running containers.
Contributions:7 commits, 1 PR, 21 pushes in 1 year 4 months
containerscharacteristicsdockeranalyzesperformance
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