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Rohit7594/README.md

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⚡ What I Do

8+ years of turning messy data into intelligent systems. I design and ship Agentic AI and GenAI applications that automate complex workflows and solve real business problems — from concept to production on AWS.

  • 🤖   Building AI Agents with multi-step reasoning & human-in-the-loop workflows
  • 🔍   Designing RAG pipelines for intelligent document & data retrieval
  • 🧠   Working with LLMs (Claude, GPT-4) for NLP automation at scale
  • ☁️   Deploying ML systems on AWS EKS with Docker & Kubernetes
  • 📉   Building predictive models that measurably move the needle

🛠️ Tech Stack

🤖 AI / GenAI

LangChain LangGraph OpenAI Claude DSPy RAG Pinecone HuggingFace

☁️ Cloud & DevOps

AWS Docker Kubernetes FastAPI Jenkins Snowflake

🧪 ML & Deep Learning

Scikit-learn TensorFlow PyTorch XGBoost

🐍 Core

Python SQL Pandas PySpark Streamlit Power BI

📊 GitHub Stats

GitHub Streak

"If it can be automated with AI, it should be."

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  1. Movie_Recommendation_System Movie_Recommendation_System Public

    Content Based - Movie recommender system. End-to-End project, deployed on Heroku

    Jupyter Notebook 5 1

  2. Banglore-House-Price-Predictor Banglore-House-Price-Predictor Public

    Banglore House Price Predictor, End-to-End project. Deployment on Heroku

    Jupyter Notebook 1 1

  3. Fetching-Data-From-FTP-Server-Python Fetching-Data-From-FTP-Server-Python Public

    Python code for Fetching data from FTP server using ftplib

    Python 1

  4. Predicting-the-Sale-Price-of-Bulldozers-Kaggle Predicting-the-Sale-Price-of-Bulldozers-Kaggle Public

    Predict the Sale Price of Bulldozers (Regression Problem) The data and evaluation metric to be used is root mean square log error or RMSLE mentioned in Kaggle Bluebook for Bulldozers competition.

    Jupyter Notebook 1 1