Suhas Thalanki
Member Of Technical Staff at Databricks
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolSuhas Thalanki is a systems-focused software engineer with five years of experience building compute and tooling for cloud-native and data-intensive applications, currently a Member of Technical Staff at Databricks after Neon’s acquisition. He holds a master's in Computational Data Science from Carnegie Mellon and has combined research (service-level fault injection for WebAssembly) with practical production work—from modernizing JP Morgan’s data flows to improving assignment evaluation pipelines at university scale. A maintainer of the orca project and contributor to Neon’s compute stack, he operates comfortably across low-level systems, distributed storage, and performance optimization. Notably, his work has delivered measurable cost and efficiency gains in production environments while retaining a researcher's rigor for reproducible tooling.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 9.15/10 GPA, Bachelor of Technology - BTech, Computer Science, 9.15/10 GPA at PES UniversityHigh School, Maths, Physics and Chemistry, 97.1% (99.67% in Maths, 99.16% in Chemistry, 95.8% in Physics), High School, Maths, Physics and Chemistry, 97.1% (99.67% in Maths, 99.16% in Chemistry, 95.8% in Physics) at Urbane Junior CollegeHigh School, 10 CGPA, High School, 10 CGPA at Delhi Public School, HyderabadMaster's degree, Computational Data Science - Systems Concentration, Master's degree, Computational Data Science - Systems Concentration at Carnegie Mellon University
English, Telugu, Hindi, Kannada
Stackoverflow
61reputation
3kreached
0answers
4questions
Github Skills (52)
autoscaling10
spin10
postgresql10
low-level10
storage10
neon10
serverless10
webassembly10
rust10
database10
programming-language9
tooling9
python9
jailbreak9
utm9
Programming languages (7)
Github contributions (5)
thesuhas/Competitive-Coding-Solutions
Aug 2021 - Aug 2021
Contributions:27 commits, 24 pushes, 1 branch in 13 days
Big-Data-Gang/Machine-Learning-with-Spark-Streaming
Nov 2021 - Dec 2021
Contributions:64 commits, 1 push in 27 days
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