togethercomputer/openapi
Sep 2025 – Mar 2026
2 Months active
Languages Used
YAML
Technical Skills
API DesignOpenAPI SpecificationAPI DevelopmentReinforcement Learning
Soroush Bassam
PROFILE
Soroush Bassam
During their time on the togethercomputer/openapi repository, Bassam developed two core features focused on reliability and scalability. They designed and implemented a Multipart Upload API with Python SDK integration, enabling uploads larger than 5GB and simplifying large-file workflows for clients. Using YAML and OpenAPI Specification, Bassam created new endpoints and comprehensive request/response schemas to streamline integration and reduce client-side complexity. Additionally, they delivered a Reinforcement Learning Training Checkpoints API, supporting persistent state management and reproducibility across RL runs. Their work demonstrated depth in API design and development, addressing real-world challenges in both data handling and machine learning infrastructure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
388
Activity Months2
Your Network
53 peopleSame Organization
@together.ai20
Shared Repositories
33
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 – togethercomputer/openapi: Delivered a new Reinforcement Learning Training Checkpoints API to persist and resume training state across RL runs, enhancing reliability and experiment reproducibility. Updated API specifications to support save/resume workflows (commit 673be259b6426e5fb752fac45697a2acd9c9564e). This work reduces downtime, enables longer-running experiments, and strengthens the end-to-end RL pipeline.
1 Commits • 1 Features
Mar 1, 2026March 2026 – togethercomputer/openapi: Delivered a new Reinforcement Learning Training Checkpoints API to persist and resume training state across RL runs, enhancing reliability and experiment reproducibility. Updated API specifications to support save/resume workflows (commit 673be259b6426e5fb752fac45697a2acd9c9564e). This work reduces downtime, enables longer-running experiments, and strengthens the end-to-end RL pipeline.
March 2026
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for togethercomputer/openapi focusing on business value and technical delivery. Key feature delivered: a scalable Multipart Upload API and accompanying Python SDK usage to enable uploads larger than 5GB. The feature includes new endpoints (initiate, complete, abort), complete request/response schemas, and an example Python SDK flow, designed to reduce client-side complexity and improve reliability for large-file workflows.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for togethercomputer/openapi focusing on business value and technical delivery. Key feature delivered: a scalable Multipart Upload API and accompanying Python SDK usage to enable uploads larger than 5GB. The feature includes new endpoints (initiate, complete, abort), complete request/response schemas, and an example Python SDK flow, designed to reduce client-side complexity and improve reliability for large-file workflows.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
API DesignAPI DevelopmentOpenAPI SpecificationReinforcement Learning
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline