AI agents that go beyond simple prompts designed for real-world applications, LLM-powered automation, and seamless backend integration.
What I Deliver:
- Autonomous AI agents using LangChain, DSPy, or raw OpenAI APIs
- ReAct-based reasoning loops (Thought Action Observation)
- Tool-calling agents that interact with APIs, search engines, databases
- RAG pipelines using Pinecone, Chroma, or Weaviate for knowledge retrieval
- Memory + stateful agents (chat, workflow, multi-step logic)
- Use Case Examples:
- EHR appointment scheduler: integrated agent with slot-finder, user verification, calendar API, and fallbacks
- AI research assistant: multi-source retriever agent fetching from internal documents and web
- Slack bot agent: executing internal commands via cloud APIs and posting results back
️ Cloud & Integration Ready:
- Built to plug into real applications (FastAPI, Next.js, React, Streamlit)
- Can deploy with workers, queues (e.g., Celery, SQS), async tasks, and scalable architectures
- Modular code, deployable to AWS/GCP/Vercel with environment-aware setup