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Diego Coder

Machine Learning Engineer β€’ AI Infrastructure β€’ Contributor


FOSS and Sauce

Active contributor to leading agentic AI frameworks β€” LangChain, LangGraph, and CrewAI. I focus on production reliability, lifecycle stability, schema validation, and traceable tool invocation in agent ecosystems.

My work addresses:

  • Tool call parsing and structured output validation
  • Pydantic v2 compatibility and schema hygiene
  • Agent lifecycle stability in non-interactive and CI/CD environments
  • Time-travel checkpointing and reproducibility
  • Downstream embedding bugs and dependency validation

These efforts often involve complex code paths, legacy compatibility, and community-visible design tradeoffs. I target high-friction issues, write minimal reproducible tests, and coordinate with other contributors to land meaningful changes on actively evolving codebases.

My contributions across LangChain repos


Appendix: Highlighted Work

LangChain Ecosystem Contributions

Repo PR Title Status Link
langchain-ai/langchain Fix single-quoted JSON tool calls βœ… Merged #32109
langchain-ai/langchain Structured output fix for Pydantic v2 🟑 Open #32255
langchain-ai/langchain-community RequestsGetTool validation error 🟑 Open #211
langchain-ai/langchain-community InstructorEmbedding dependency error 🟑 Open #209
langchain-ai/langchain-community SQLDatabaseTool response_format support 🟑 Open #215
langchain-ai/langgraph Checkpoint ID on time travel 🟑 Open #5591
langchain-ai/langgraph Remove deprecated dynamic versioning 🟑 Open #5599
langchain-ai/langgraph Concrete validation types for StateLike ❌ Closed #5596
crewAIInc/crewAI-tools Fix agent crash in non-interactive shell 🟑 Open #390
crewAIInc/crewAI Prevent Pydantic coercion of state model 🟑 Open #3218

Notable Issue Resolutions

  • LangGraph
    • #5165 β€” MRE confirmed, helped close
    • #2538 β€” MRE confirmed, helped close
  • LangChain
    • #31335 β€” Analyzed Qwen3-32B structured output error and coordinated compatibility discussion

Current Focus

  • Agentic architectures: LangGraph, CrewAI
  • RAG pipelines and reranking logic
  • Schema-first LLM integration and validation
  • Reproducibility, observability, and automated testing

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