Skip to content
View Emarhnuel's full-sized avatar

Block or report Emarhnuel

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Emarhnuel/README.md

💫 About Me:


🤖 AI Engineer passionate about advancing the field of artificial intelligence

🔬 Focused on:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agent Development & Automation
- Fine-tuning & LLMOps
- AgentOps

🛠️ Exploring agent frameworks like LangChain, langGraph, CrewAI and LLamaindex

Always learning, building, and pushing the boundaries of AI technology.

🌐 Socials:

[LinkedIn](https://linkedin.com/in/Emmanuel Ezeokeke)

💻 Tech Stack:

C++ Python AWS Google Cloud Flask FastAPI Neo4J Single Store NumPy Pandas TensorFlow scikit-learn GitHub GitHub Actions Git

📊 GitHub Stats:


Pinned Loading

  1. Bible_chatbot Bible_chatbot Public

    Python 2

  2. Tailored_AI_Agent Tailored_AI_Agent Public

    quick tutorial of buiding AI Agents with agency swarm for websearch use case

    Python 1

  3. Fine-tuning-Mistral-7B-Instruct-with-QloRA Fine-tuning-Mistral-7B-Instruct-with-QloRA Public

    Finetuning Mistral 7B with Qlora

    Jupyter Notebook 2

  4. AI_Agent_with_GPT4o AI_Agent_with_GPT4o Public

    A collection of AI agents that helps with research using GPT4o and Phidata

    Python 9 2

  5. CrewAI_News_Agent CrewAI_News_Agent Public

    This project automates news generation using CrewAI. Two agents—Researcher and Writer—research a topic using Serper and create a news article, with AgentOps for monitoring and analytics.

    Python 1 1

  6. LangGraph_websearch_agent LangGraph_websearch_agent Public

    A Web search agent built with LangGraph

    Python