Krishnachaithanya Lingireddy

About

AI Engineering student focused on Generative AI, LLMs, and backend systems. Built AI-powered applications including multi-agent workflows and RAG pipelines using LangGraph, FastAPI, and vector databases.

Education

• B.E. in Computer Science Engineering
  Neil Gogte Institute of Technology
  Computer Science Engineering · 2023 – 2027
• Intermediate
  Sri Chaitanya Junior College
  Mathematics, Physics, Chemistry · 2021 – 2023

Skills

• C
• FastAPI
• Python
• Java
• Node.js
• WebSockets
• Natural Language Processing
• RAG
• LangGraph
• AI Agents
• Embeddings
• Faiss
• Llama 3
• Generative AI (ChatGPT, Copilot, Gemini)

Projects

• MIRIX
  Python, FastAPI, LangGraph, LLMs (Llama 3 / Qwen), FAISS, Prompt Engineering

  Built an AI agent system with LangGraph and local LLMs that can reason through multiple steps, backed by a FastAPI server. Added a RAG system using FAISS, and built OCR plus embedding pipelines for semantic search.

• SceneSolver
  React, Node.js, REST APIs, MongoDB, Computer Vision, OpenCV, BART

  Built an AI-based forensic app with a Python machine learning engine, REST API, and Node.js backend. Used CLIP and BART to classify scenes and generate structured analysis reports.

• CodeFlow Live
  Next.js, Node.js, MongoDB, Redis, LLMs, Automation Systems

  Built a secure code execution system with process sandboxing, added an AI chatbot for bug detection and code analysis, and improved backend speed with Redis caching and a recommendation engine.