Shashank Srikanth - Software Engineer at Netflix

Shashank Srikanth

Software Engineer at Netflix

San Francisco Bay Area United States

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Summary

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Rockstar

🎓

Top School

Shashank Srikanth is a software engineer focused on ML infrastructure and platform engineering, currently contributing to Metaflow and generative AI scaling at Netflix. With ~3 years of experience, he bridges research and production—shipping monitoring, profiling, and deployment integrations for large language and vision models using tools like Ray and NVIDIA Triton. His background spans robotics, computer vision, and bioinformatics—building everything from disparity/trajectory forecasting models and JIT-optimized manipulator solvers to distributed training pipelines and AWS-deployed inference services. He has a solid academic pedigree (IIIT‑Hyderabad, Georgia Tech) and a knack for squeezing performance: examples include a 20x speedup in manipulator configuration generation and 2x faster model training via distribution. Based in the San Francisco Bay Area, he combines hands-on systems engineering with research fluency to move experimental ML into reliable production.

3 years of coding experience

4 years of employment as a software developer

Master of Science - MS, Computer Science, 4.0 / 4.0, Master of Science - MS, Computer Science, 4.0 / 4.0 at Georgia Institute of Technology

Bachelor of Technology, Computer Science, 9.73 / 10.0, Bachelor of Technology, Computer Science, 9.73 / 10.0 at International Institute of Information Technology Hyderabad (IIITH)

Github Skills (20)

r-package10

aws9

azure8

python8

gcp8

reproducible-research8

kubernetes7

machine-learning7

model-management7

ai7

rocket7

science7

cli7

mlops6

Programming languages (1)

Python

Github contributions (1)

Netflix/metaflow

Aug 2022 - Aug 2022

Open Source AI/ML Platform

Contributions:1 commit, 1 PR, 1 branch in 1 day

pythonml-infrastructureclir-packagescience

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