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phoenixha4/README.md

Harsh Agarwal · AI/ML Engineer

Designing and shipping multi-agent, multi-turn conversational pipelines for real-world banking & financial workflows. Deeply interested in the infrastructure layer of agentic AI — memory, observability, context engineering, and evals.

Frameworks & OrchestrationLangGraphAutoGenFastAPIDockerAzure

Models & ToolingOpikHuggingFaceChainlit

🔭 Currently Exploring

AG-UI protocol · MCP · AI evals · Memory architecture · Voice AI agents

📌 Notable Projects

ProjectDescription
GenerativeUIAgentic onboarding with LangGraph + Chainlit — backend drives dynamic form generation via structured LLM outputs
AgenticClassificationMulti-step text analysis pipeline with LangGraph
LearnDockerSentiment analysis model → FastAPI → Docker
what2eatVegan recipe recommender system

LinkedInEmail

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  1. DynamicUIDynamicUIPublic

    An AI-powered agent application using LangGraph and Chainlit for conversation-based journeys with an intelligent and dynamic interface.

    Python

  2. AgenticClassificationAgenticClassificationPublic

    Demonstrates the power of LangGraph by building a multi-step text analysis pipeline

    Jupyter Notebook

  3. LearnDockerLearnDockerPublic

    This project demonstrates how to wrap a machine learning model in a FastAPI web application and Dockerize it for easy deployment. The application performs sentiment analysis using Hugging Face's tr…

    Dockerfile

  4. slateslatePublic

    Slate Todo is a Go-based full-stack todo app with PostgreSQL, Docker, and a vanilla JS frontend, built to learn backend structure, APIs, and deployment in Go.

    Go

  5. what2eatwhat2eatPublic

    This project is a Vegan Recipe Recommender system that provides recipe recommendations based on user preferences and/or input ingredients.

    Jupyter Notebook 5