Sampras Lopes
Engineering at Voicing AI
Mumbai, Maharashtra, India
Summary
🤩
Rockstar🎓
Top SchoolSampras Lopes is an engineering professional with 9 years of experience building backend systems and payments infrastructure, currently working at Voicing AI in Mumbai. He has strong Rust and backend expertise demonstrated by substantive contributions to the open-source Juspay/hyperswitch project—adding actix worker configuration, refining OpenTelemetry tracing, and hardening database and logging code for a high-throughput payments switch. Previously he shipped production systems at Juspay and Haptik, bringing practical experience in reliability, observability, and API work. A B.E. in Computer Science from BITS Pilani, he combines rigorous engineering foundations with a track record of improving performance and traceability in distributed services.
9 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Stackoverflow
15reputation
445reached
0answers
2questions
Github Skills (17)
tracer10
back-end-development10
rust10
trace10
apidoc9
payment9
api9
logging9
opentelemetry9
actix-web8
postgresql8
speech-recognition6
mongodb6
pymongo6
mongodb-query6
Programming languages (7)
Github contributions (5)
juspay/hyperswitch
Nov 2022 - Mar 2023
An open source payments switch written in Rust to make payments fast, reliable and affordable
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 918 reviews, 28 commits in 4 months
Contributions summary:Sampras's commits primarily involve back-end development tasks, focusing on the Rust-based payment switch. They implemented configuration support for actix workers, optimized OpenTelemetry traces within the router environment, and added a sampling rate feature for traces. Further contributions included refactoring core components, fixing issues in database models and implementing changes in logging and API.
financialpaymentsaffordableorchestrationrust
lsampras/competitive-data-science
May 2019 - Aug 2024
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Contributions:6 pushes in 5 years 3 months
pythonsciencedata-sciencemachine-learningpandas
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