facebookresearch/param
Nov 2025 – Nov 2025
1 Month active
Languages Used
Python
Technical Skills
Module creationPyTorchPython developmentbackend developmentdistributed systems
Subodh Iyengar
PROFILE
Subodh Iyengar
Subodh contributed to backend and distributed systems development across facebook/folly and facebookresearch/param, focusing on practical enhancements for network and machine learning workflows. In facebook/folly, he implemented network traffic prioritization in AsyncSocket, enabling applications to configure Type of Service for IPv4 and traffic class for IPv6 using C++ and socket programming. For facebookresearch/param, he packaged the repository as a Python module and migrated the Torch backend to open source, introducing a PyTorch-based Torchcomms backend. His work demonstrated depth in module creation, network programming, and distributed systems, addressing maintainability, scalability, and ease of use for both internal and OSS users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
914
Activity Months2
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3242 peopleSame Organization
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Work History
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary focusing on packaging and OSS backend enhancements for facebookresearch/param. Delivered Python packaging to simplify execution of comms.py and migrated the Torch backend to OSS with a new PyTorch Torchcomms backend, enabling broader OSS usage and distributed ML workflows. Business value includes reduced setup friction, easier onboarding for contributors and users, and improved maintainability and scalability of distributed communication tasks. Technologies demonstrated include Python packaging (init files), OSS migration, and PyTorch Torchcomms backend development with import-path refactoring.
2 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary focusing on packaging and OSS backend enhancements for facebookresearch/param. Delivered Python packaging to simplify execution of comms.py and migrated the Torch backend to OSS with a new PyTorch Torchcomms backend, enabling broader OSS usage and distributed ML workflows. Business value includes reduced setup friction, easier onboarding for contributors and users, and improved maintainability and scalability of distributed communication tasks. Technologies demonstrated include Python packaging (init files), OSS migration, and PyTorch Torchcomms backend development with import-path refactoring.
November 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for facebook/folly focused on delivering a concrete QoS enhancement in AsyncSocket and validating its integration with existing APIs.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for facebook/folly focused on delivering a concrete QoS enhancement in AsyncSocket and validating its integration with existing APIs.
Activity
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Quality Metrics
Correctness96.6%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage26.6%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++Module creationNetwork ProgrammingPyTorchPython developmentSocket Programmingbackend developmentdistributed systems
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
facebook/folly
Jun 2025 – Jun 2025
1 Month active
Languages Used
C++
Technical Skills
C++Network ProgrammingSocket Programming