Hi, I'm

Pradeep Yadav

Full-Stack Developer | AI Engineer

Aspiring AI Engineer focused on Generative AI and RAG-based systems, building AI-powered applications that transform complex data into meaningful solutions.

🤖 AI/ML
FastAPI
🐍 Python
🔍 RAG Systems

About Me

I'm a final-year Computer Science and Engineering student at Indore Institute of Science and Technology (IIST) with an interest in Generative AI and software development. I focus on building AI-based projects to strengthen my understanding of real applications.

During my internship as a Generative AI Intern, I worked on building RAG-based AI chatbots using Python and LangChain. I learned how embeddings and vector databases are used to retrieve relevant information and generate accurate responses.

I enjoy exploring new AI technologies, improving my problem-solving skills, and continuously learning to build scalable and efficient solutions.

💻

Skills & Expertise

🤖

AI & Machine Learning

  • PyTorch
  • LangChain
  • NLP
  • LangGraph
⚙️

Backend Development

  • Python
  • FastAPI
  • PostgreSQL
  • MongoDB
🎨

Frontend Development

  • HTML5 & CSS3
  • JavaScript
  • React
🛠️

Tools & Technologies

  • Git & GitHub
  • Docker
  • DSA
  • AWS/Cloud

Experience

💼
July 2025 - October 2025

Generative AI Intern

Mindpath Tech Pvt Ltd, Indore

Worked as a Generative AI Intern at Mindpath Tech Pvt Ltd, where I developed AI-powered chatbot prototypes using LangChain and OpenAI models. Implemented RAG-based document retrieval to generate context-aware responses from client-provided documents in a controlled demo environment.

Key Achievements:
  • Built a RAG pipeline using OpenAI embeddings and vector databases (MongoDB/PostgreSQL)
  • Developed a secure web interface for client demo and testing purposes
  • Implemented conversation memory for improved contextual responses
  • Optimized prompts to enhance response relevance and reduce hallucinations
  • Performed database comparison for vector search performance evaluation
Python FastAPI PostgreSQL Git LangChain LangGraph MongoDB Streamit LLM

Projects

Python Streamlit ChromaDB LLM

Multi-Model RAG System

Developed a Streamlit-based Multi-Model RAG application integrating Gemini LLM, Sentence Transformer embeddings, and ChromaDB for semantic document retrieval. Designed a complete retrieval pipeline including chunking, vector search, and context-grounded response generation.

NLP Python Streamlit LLM

AI-Powered Resume Analyzer

The AI Resume Analyzer is an AI-powered web application that intelligently reviews resumes using NLP and LLMs. It parses uploaded resumes, evaluates skill relevance and content strength, and generates an ATS-based score. The system highlights missing keywords, weak sections, and improvement areas.

ML NLP Python Streamlit

Fake News Detection System

Built and trained a machine learning model to classify news articles as real or fake using NLP techniques and TF-IDF vectorization. Implemented supervised learning algorithms and integrated the trained model into a web application for real-time predictions.

Django Python Bootstrap SQLite Razorpay API AccuWeather API

TravelBuddy

TravelBuddy is an AI-powered travel and hotel booking platform developed as my major college project. The system enables users to plan trips intelligently with personalized travel recommendations generated using the Gemini API.

Resume

View my complete resume or download the PDF version

Contact Me

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