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Rajas Bansal

PROFILE

Rajas Bansal

Over a three-month period, contributed to togethercomputer’s Python repositories by building robust backend features focused on batch processing and real-time audio. Developed asynchronous batch job management and cancellation APIs for together-python, introducing resource classes, type definitions, and lifecycle controls that improved scalability and automation for batch workflows. Enhanced API contracts using Python and YAML, leveraging OpenAPI Specification for clear documentation and integration. Later, delivered a real-time WebSocket Text-to-Speech endpoint with speaker diarization for togethercomputer/openapi, enabling low-latency, multi-speaker streaming audio. The work emphasized asynchronous programming, API design, and backend development, providing scalable foundations for both batch and audio processing systems.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
3
Lines of code
644
Activity Months3

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

October 2025 performance summary for togethercomputer/openapi: Delivered real-time WebSocket Text-to-Speech with speaker diarization and updated audio endpoints to support diarization. This enables low-latency, streaming TTS with multi-speaker separation for live applications and improves integration with downstream audio processing pipelines. Maintained end-to-end traceability with a single commit adding the websocket endpoint and diarization support.

August 2025

1 Commits • 1 Features

Aug 1, 2025

August 2025 monthly summary for the together-python repository focused on feature delivery and technical excellence. Delivered a Batch Job Cancellation API that enables both synchronous and asynchronous cancellation by job ID, with an in-flight state tracked via a new BatchJobStatus value: CANCELING. This enhancement improves automation, reduces wasted compute, and provides clearer job lifecycle visibility. The work is anchored by commit c03603ed09bff350f1d45601918d564dabbc72f9 (Add API to cancel a batch (#355)). No major bugs were reported or fixed in this period; the priority was delivering a robust API and solid design. Overall impact: empowers teams to automate batch lifecycle control, improves reliability of batch workflows, and sets a scalable foundation for future batch-management features. Technologies demonstrated: Python SDK development, API design, enum usage, synchronous/asynchronous processing, version control, and clear commit traceability.

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 2025: Delivered Batch API Batch Job Management in together-python, enabling asynchronous batch processing for the Batch API. Implemented creation, retrieval, and listing of batch jobs, introduced resource classes for batch jobs, added type definitions for batch job statuses and endpoints, and performed a minor adjustment to file purpose validation. This work provides a scalable foundation for batch processing, improving throughput, reliability, and developer experience. Business impact includes reduced manual orchestration, easier monitoring of batch jobs, and clearer API contracts.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance86.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonYAML

Technical Skills

API DesignAPI DevelopmentAPI IntegrationAsynchronous ProgrammingBackend DevelopmentOpenAPI SpecificationPython

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

togethercomputer/together-python

Jun 2025 Aug 2025
2 Months active

Languages Used

Python

Technical Skills

API IntegrationAsynchronous ProgrammingBackend DevelopmentPythonAPI Development

togethercomputer/openapi

Oct 2025 Oct 2025
1 Month active

Languages Used

YAML

Technical Skills

API DesignOpenAPI Specification