Krishnachaithanya Lingireddy

Krishnachaithanya Lingireddy

AI Engineering student · Generative AI and Backend Developer

Hyderabad, Telangana, India

@krishnachaithanya_lingireddy

0 followers

Looking for jobs Looking for internships Open to relocating

🎓 B.E. in Computer Science Engineering at Neil Gogte Institute of Technology · Graduating 2027

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
    Computer Science · Aug 2023 – Jun 2027
  • 12th / Higher Secondary (Class 12)
    Mathematics, Physics and Chemistry · 2021 – 2023
  • 10th / Secondary (Class 10)
    Sri Chaitanya School
    2020 – 2021

Skills

1 to 2 years 1 to 2 years A year or two of steady use.
6 to 12 months 6 to 12 months Most of a year behind them.

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Redis Claude Docker Gemini OpenAI MongoDB PostgreSQL

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
Telugu Speak · Read · Write
Conversational Conversational Can hold an everyday conversation.
English Speak · Read · Write

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.

Courses & certifications

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