Home Original page

Jaimboh - Overview

@Jaimboh

Jaimboh

Follow

View Jaimboh's full-sized avatar

Tom Odhiambo Jaimboh

🚀 Machine Learning & NLP Engineer | AI Engineer | Data Scientist

Block or report Jaimboh

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. 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

Jaimboh/README.md

Hi 👋, I'm Tom Odhiambo

Machine Learning|NLP| AI Engineer | Based in Kenya 🇰🇪

I'm passionate about building AI-powered solutions that tackle real-world problems. With deep Python expertise and a creative mindset, I craft scalable machine learning systems that make a tangible impact.

jaimboh

🚀 What I'm Working On

  • 🔭 Currently building impactful AI applications
  • 👯 Open to collaborating on cutting-edge ML/NLP projects
  • 🧠 Exploring LLMs, RAG pipelines, MLOps, and AI agent frameworks
  • 🛠️ Automating workflows and deploying AI tools in production

📫 Connect With Me

🧰 Tech Stack

Languages & Frameworks

Python Pandas Scikit-Learn PyTorch TensorFlow Matplotlib Flask FastAPI LangChain BERTopic Hugging Face

Tools & Platforms

Docker Kubernetes AWS Azure GCP PostgreSQL MongoDB Postman Zapier Streamlit Pinecone Ollama Git GitHub VS Code Conda Jupyter

📈 GitHub Stats

💡 Fun Facts

  • 📚 Avid reader
  • 🌍 Adventurer
  • 💡 Eternal optimist
  • 🏊 Swimmer

Pinned Loading

  1. Llamaberry-Chain-of-Thought-Reasoning-in-AI Llamaberry-Chain-of-Thought-Reasoning-in-AI Public

    Implementation of a multi-turn Chain of Thought (CoT) reasoning system, powered by the Llama 3.1 70B model on Groq.

    Python 19 3

  2. Building-advanced-hybrid-RAG-application Building-advanced-hybrid-RAG-application Public

    An implementation of pgvectorscale to a build powerful RAG solutions.

    Python 5 1

  3. MULTI-RAG-CHATBOT MULTI-RAG-CHATBOT Public

    This is a chatbot that incoprates llm routing based on the user query input and can access multiple databases

    Python 2

  4. LLM-information-Extraction LLM-information-Extraction Public

    Jupyter Notebook

  5. perplexity-llm-answer-engine perplexity-llm-answer-engine Public

    TypeScript 3

  6. Airbnb_Whatsapp_Bot Airbnb_Whatsapp_Bot Public

    Python 5 1