Contributor to LiteLLM and creator of the official LangChain Salesforce Integration.
Research Focus: Scalable multi-agent architectures, high-performance LLM optimization, vector search and similarity optimization.
- chain-of-thought-reranking: Optimizing LLM responses by extracting, reranking, and refining internal chain-of-thought.
- langchain-salesforce: Langchain integration for Salesforce CRM with SOQL queries, schema inspection, and CRUD operations.
- vector-vault: High-performance vector similarity search engine with LSH optimization in Go.
- pycuda-numpy-vector-ops: Accelerating NumPy vector operations with PyCUDA in Jupyter notebooks.
- logit-control: Control LLM token generation by manipulating logits for structured outputs using Hugging Face Transformers.
- social-media-agent-system: Multi-agent system combining specialized AI agents for engaging social media content creation.
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