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BatthulaVinay/README.md

Vinay Batthula

AI/ML Engineer focused on building practical machine learning systems, backend APIs, and end-to-end AI applications using Python, FastAPI, Scikit-learn, Docker, and modern ML tooling.


About Me

Aspiring AI/ML Engineer with an M.Tech from NIT Warangal and hands-on experience developing machine learning systems across finance and healthcare domains.

I enjoy building:

  • End-to-end ML systems
  • RAG applications
  • FastAPI backend services
  • ML deployment pipelines
  • AI-powered applications

Strong foundation in:

  • Machine Learning
  • Deep Learning
  • NLP
  • Mathematics & Statistics
  • Model Evaluation

🛠️ Tech Stack

💻 Languages

Python MySQL

🤖 AI / ML

Scikit-Learn TensorFlow NumPy Pandas SciPy

Data Visualization: Matplotlib & Seaborn

🧠 LLM & AI Systems

LangChain RAG Systems AI Agents LLM Apps

⚙️ Backend & Deployment

FastAPI Docker REST APIs

🧰 Tools & Platforms

Git GitHub VS Code Jupyter Google Colab Anaconda


Currently Learning

  • RAG Architecture
  • LLM Evaluation
  • AI Infrastructure
  • ML System Design
  • Vector Databases
  • Production AI Engineering

Goals

  • Build production-grade AI systems
  • Become a strong AI Engineer
  • Work on globally impactful AI products
  • Contribute to open-source AI projects

Popular repositories Loading

  1. BatthulaVinay BatthulaVinay Public

    Config files for my GitHub profile.

  2. skills-introduction-to-github skills-introduction-to-github Public

    My clone repository

  3. Tesla-Stock-Prices-Predictions-LSTM Tesla-Stock-Prices-Predictions-LSTM Public

    This repository contains a project aimed at predicting Tesla's stock prices using Long Short-Term Memory (LSTM) networks.

    Jupyter Notebook

  4. Loan-Approval-Prediction-using-Machine-Learning Loan-Approval-Prediction-using-Machine-Learning Public

    This project predicts whether a loan application will be approved or not based on various applicant details. It leverages classification models to automate decision-making in the loan approval proc…

    Jupyter Notebook

  5. Heart-Disease-Prediction-Using-Logistic-Regression Heart-Disease-Prediction-Using-Logistic-Regression Public

    This project focuses on building a machine learning model to predict the presence of heart disease using Logistic Regression. It uses a dataset containing various medical attributes of patients and…

    Jupyter Notebook

  6. End-to-End-Heart-Disease-Prediction-Using-Logistic-Regression End-to-End-Heart-Disease-Prediction-Using-Logistic-Regression Public

    Built an end-to-end Heart Disease Prediction system using Machine Learning to predict the likelihood of heart disease based on patient health parameters. The project uses Logistic Regression for bi…

    Jupyter Notebook