Aviral Verma
SDE II at Moloco
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolAviral Verma is an SDE II based in Bengaluru with nine years of experience designing and shipping large-scale distributed systems, particularly in identity resolution, event-driven architectures, and big-data pipelines. He has engineered high-throughput Apache Beam and Spark pipelines that process hundreds of billions of identity edges daily and built ML-informed scoring frameworks to balance precision and recall in noisy, ground-truth-sparse domains. At Apple he bridged infra and ML stacks—implementing Flink-based ingestion for semantic enterprise search and a custom Kubernetes controller to improve scheduling for cache-dependent workloads—showing a knack for platform-level reliability. He’s contributed to the popular pytest project by hardening test infrastructure and improving test coverage and style, reflecting an attention to quality and open-source collaboration. Known for mentoring junior engineers, Aviral thrives in ambiguous problem spaces where systems thinking and pragmatic trade-offs unlock reliable, cost-efficient solutions.
9 years of coding experience
5 years of employment as a software developer
Intermediate Science , Intermediate Science at Delhi Public School KanpurIndian Institute of Technology Roorkee
English, Hindi, Sanskrit
Github Skills (6)
unit-testing10
pytest10
unit-test10
python10
test-automation10
testing10
Programming languages (13)
Github contributions (5)
pytest-dev/pytest
Mar 2018 - Apr 2020
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:11 PRs, 34 comments in 2 years 1 month
Contributions summary:Aviral primarily focused on enhancing the testing infrastructure of the pytest framework. They added tests to verify the functionality of the `.pytest_cache` directory and the associated README file, ensuring that the cache directory is created and the README file exists under the appropriate conditions. Furthermore, the user improved the testing process by adding test cases for when the tests pass and when they fail, contributing to the overall reliability and robustness of the testing suite. Additionally, the user fixed linting errors and standardized the code style using black.
scalespythonfunctional-testingtestingpytest-framework
avirlrma/Linux-Kernel-Module
May 2018 - Jun 2020
Just some practice kernel modules making use of macros and kernel data structures.
Contributions:13 commits, 3 PRs, 6 pushes in 2 years 1 month
kernelkernel-modulesmacrosoperating-systemdata-structures
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