Yogendra Kushwaha

About

BCA graduate and MCA (AI & ML) student focused on building practical AI/ML and generative AI applications with Python. Hands-on experience in RAG-based document Q&A, LangGraph conversational agents, Groq LLM integration, tool calling, web search, conversational memory, ML pipelines, and data processing.

Education

• Master of Computer Applications in AI & ML
  Chandigarh University
  AI & ML · 2025 – 2027
• Bachelor of Computer Applications
  United University
  2022 – 2025
• Senior Secondary School
  S D D Inter College
  2020 – 2022
• Secondary School
  Bhavan's Mehta Vidyashram
  2018 – 2020

Skills

Tools / apps / platforms

Projects

• House Price Prediction
  Python

  Built a regression model to predict house prices using features such as area, location, and number of rooms. Applied preprocessing and feature scaling and evaluated performance with RMSE and R² score.

• AI Chatbot Using LangGraph & Groq
  Python, LangGraph, LangChain, Groq, Tavily Search, ToolNode, MemorySaver

  Built an agentic conversational chatbot with structured state-based workflows and conditional routing. Integrated web search, tool calling, conversational memory, checkpointing, and human-in-the-loop interactions.

• Hybrid RAG Document Q&A System
  Python, Streamlit, LangChain, PyMuPDF, Hugging Face Embeddings, FAISS, Groq

  Built a Retrieval-Augmented Generation application for context-aware Q&A over uploaded PDF/DOCX documents. Implemented document parsing, chunking, embeddings, vector search, page-aware metadata, confidence-based retrieval, and web-search fallback.

Courses & certifications

• Machine Learning · Infosys SpringBoard
• Artificial Intelligence · Infosys SpringBoard
• Python for Data Science · Saylor Academy

🎯 Hobbies & interests

• Reading Tech Blogs
• Research Articles
• Building Mini Projects
• Dry-running problems before coding