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durgaprasadcodes/README.md

README.md

🐍 Python Full Stack Developer • 🤖 Machine Learning Engineer

Building scalable web applications and intelligent ML systems
with clean architecture, performance, and real-world impact.

🚀 About Me

I am a Python Full Stack Developer and Machine Learning Engineer focused on building end-to-end applications, intelligent systems, and production-ready APIs.



⚡ My Development Pipeline

🌐
Frontend
React

 →

⚙️
Backend
Django • FastAPI

 →

🗄️
Database
PostgreSQL • Supabase

 →

🤖
Machine Learning
Scikit-learn • TensorFlow • PyTorch

 →

🧠
RAG / GenAI
LangChain • Embeddings • Vector Search

 →

🚀
Deployment
Docker • Vercel • Render

🛠️ Tech Stack

Category Technologies
🧑‍💻 Languages Python JavaScript
🎨 Frontend React HTML5 CSS3 JavaScript
⚙️ Backend Django FastAPI
🗄️ Databases PostgreSQL MongoDB Supabase
🤖 Machine Learning TensorFlow PyTorch Scikit-learn NumPy Pandas
🧠 RAG & GenAI LangChain FAISS HuggingFace
🛠️ Tools Git GitHub Docker Vercel Render

⚡ What I Build

🌐 Full Stack Applications

Responsive and scalable web applications using modern frontend and backend architecture.

React • Django • FastAPI • PostgreSQL

🤖 Machine Learning Systems

End-to-end ML workflows including preprocessing, feature engineering, training, evaluation, and deployment.

NumPy • Pandas • Scikit-learn • TensorFlow • PyTorch

🧠 RAG & GenAI

AI applications using embeddings, vector databases, semantic search, retrieval pipelines, and LLMs.

LangChain • FAISS • PGVector • Hugging Face

⚙️ Backend & APIs

Production-oriented APIs with authentication, database integration, optimization, and scalable architecture.

Django • FastAPI • PostgreSQL • Redis

📊 GitHub Performance





🎯 Current Focus


Advanced React


Architecture • Performance

Backend Engineering


Django • FastAPI

PostgreSQL


Optimization • PGVector

Machine Learning


PyTorch • TensorFlow

RAG & GenAI


LangChain • Embeddings

DSA


Problem Solving • LeetCode

🚀 Featured Development Areas

Area Focus
🌐 Full Stack React, Django, FastAPI, REST APIs
⚙️ Backend Authentication, APIs, database optimization
🤖 Machine Learning Model development, evaluation, deployment
🧠 RAG LangChain, embeddings, vector search, retrieval
🗄️ Database PostgreSQL, Supabase, MongoDB, PGVector
🚀 Deployment Docker, Vercel, Render
              



Vercel • Render • PostgreSQL • Docker • Supabase • Neon

💼 Open To

  • 🎓 Software Engineering Internships
  • 🐍 Python Full-Stack opportunities
  • 🤖 Machine Learning opportunities
  • 🧠 AI / RAG Engineering opportunities

Pinned Loading

  1. hirelense-ai hirelense-ai Public

    An AI-powered Resume Parser built with FastAPI, React, Supabase, LangChain, and Groq that extracts resume insights, identifies skills, analyzes experience, and provides intelligent job-readiness re…

    JavaScript

  2. data-structures-and-algorithms-in-python data-structures-and-algorithms-in-python Public

    🧠 One problem a day, one step closer to mastery — daily LeetCode solutions with clean Python implementations.

    Python 1

  3. live-code-editor live-code-editor Public

    A **Live Code Editor** built using HTML, CSS, and JavaScript that allows users to write and execute code directly in the browser. Features separate code editors for HTML, CSS, and JavaScript, real-…

    HTML 1

  4. house_price_prediction house_price_prediction Public

    A machine learning application that predicts house prices across Andhra Pradesh and Telangana based on property features such as location, area, bedrooms, and amenities.

    Jupyter Notebook

  5. portfolio portfolio Public

    🌍 A responsive personal portfolio built with HTML, CSS, and JavaScript. Showcases my skills, projects, experience, and learning journey. Designed with a clean and simple user-friendly interface.

    CSS

  6. Heart-Disease-Prediction Heart-Disease-Prediction Public

    Machine learning project for predicting heart disease using patient health and clinical data with Python and Scikit-learn.

    Jupyter Notebook