About Me

👋 Hello, I’m Yogesh Agrawal

I’m a Data Science professional with over 7+ years of experience building solutions across predictive modeling, forecasting, and deep learning — and now deeply immersed in the evolving world of Generative AI.

💼 What I Do

• 🔍 Data Science & ML
  Building robust machine learning models for forecasting, classification, NLP, and optimization.

• 🧠 Deep Learning & TensorFlow/Keras
  Architected end-to-end deep learning solutions in domains like image, text, and time series.

• 🤖 Generative AI & LLMs
  Exploring the cutting edge of LLM-based applications, from LangChain workflows to Agentic AI systems using LangGraph, FastMCP, and tool-calling interfaces.

🛠️ My Tech Stack

• Languages: Python, SQL, Markdown
• AI/ML: scikit-learn, TensorFlow, Keras, PyTorch
• GenAI Tools: LangChain, LangGraph, OpenAI, Hugging Face, FastMCP
• Deployment: Streamlit, GitHub Pages, Hugging Face Spaces
• Workflow: Git, VS Code, Jupyter, Macbook + iPad stack

🎓 Why I Started Educating

I believe knowledge multiplies when shared. I’ve recently started producing educational content on:

• 📺 YouTube (coming soon)
• 🧠 Agentic workflows, tool calling, multi-agent orchestration
• 📊 Visual, code-rich tutorials for aspiring GenAI builders

🌐 Follow My Work

• 💻 GitHub — code, demos, and project templates
• 📺 YouTube — coming soon with interactive lessons
• 💬 Feel free to connect if you’d like to collaborate!

Let’s build practical, thoughtful, and intelligent AI systems — together.