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bluntjudg/README.md

Hi 👋, I'm Ayush S. Pangaonkar

AI Systems Builder | Applied ML Engineer | Automation Architect

Build. Break. Learn. Improve. Repeat.

🧠 About Me

I'm an AI & ML engineer who focuses on building intelligent systems not just models.

I work at the intersection of:

  • Large Language Models
  • Backend Engineering
  • Automation Pipelines
  • Production-Ready ML Systems

I enjoy designing AI systems that reason over data, automate workflows, and integrate into real-world business use cases.

🚀 What I’ve Built

🔹 AI Automation Systems

  • Reddit automation with structured engagement logic
  • LinkedIn lead generation workflows using n8n
  • Autonomous AI pipelines for data extraction & qualification
  • Multi-step decision systems with fallback handling

🔹 Chat with Database

  • Natural Language → SQL translation
  • Layered validation & execution architecture
  • Structured and readable output formatting
  • Built to remove friction between users and structured data

🔹 LLM & Agent Systems

  • LangChain pipelines
  • LangGraph stateful workflows
  • Modular control patterns
  • Tool-calling and reasoning-based agents

🔬 Hands-On AI Engineering

Practical experience with:

  • Vector databases (Pinecone, Weaviate, Chroma)
  • Embeddings & semantic search optimization
  • Prompt engineering at scale
  • Model fine-tuning workflows
  • Custom AI architectures
  • ML training & deployment pipelines
  • Strong AI/ML fundamentals

📚 Currently Deep Diving Into

  • Retrieval-Augmented Generation (RAG) pipelines
  • Hybrid retrieval strategies
  • Advanced embedding optimization
  • Stateful multi-agent orchestration
  • Efficient LLM system design

🛠 Tech Stack

Languages:
Python | JavaScript | R

AI/ML:
TensorFlow | Keras | Scikit-Learn | Pandas | NumPy

LLM & Agents:
LangChain | LangGraph

Automation & Backend:
Node.js | REST APIs | n8n | Workflow Orchestration

Cloud:
Oracle Cloud Infrastructure (AI Certified)

Tools:
Linux | Git | Jupyter | VS Code

📈 Philosophy

Build systems.
Design for scale.
Automate intelligently.
Keep learning.

📫 Connect With Me

LinkedIn: Ayush S. Pangaonkar

Email: ayushspangaonkar0710@gmail.com

Turning AI from concept → system → product.

Pinned Loading

  1. face-detection- face-detection- Public

    This is a project of python where the faces of humans are detected

    Python

  2. Diabeties-prediction-all-models- Diabeties-prediction-all-models- Public

    Diabetes prediction using machine learning involves developing models to forecast diabetes onset based on patient data like age, BMI, blood pressure, and glucose levels. Techniques include logistic…

    Python

  3. Movie-Recommendation-system---python-and-juypter- Movie-Recommendation-system---python-and-juypter- Public

    This project uses machine learning to create a personalized movie recommendation system. By combining collaborative filtering and content-based filtering, it analyzes user preferences and movie att…

    Jupyter Notebook

  4. Iris---classification- Iris---classification- Public

    Iris project classification - Machine Learning

    Jupyter Notebook

  5. Titanic---Prediction-classification- Titanic---Prediction-classification- Public

    In our Titanic dataset project, we predicted passenger survival using machine learning. We cleaned the data, handled missing values, and engineered features like FamilySize. After exploratory analy…

    Python