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Achievements

Achievement: Pair Extraordinairex2Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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TShreek/README.md

Shreekrishna T


Building production-grade AI systems using LLMs, LangChain, and Model Context Protocol (MCP)


AI Engineering Focus

Building AI systems that reason, use tools, and interact with real-world environments

Core Expertise

  • LangChain agent architecture
  • Model Context Protocol (MCP) integration
  • Retrieval-Augmented Generation (RAG)
  • Tool-calling LLM systems
  • Autonomous AI agents

What I Engineer

  • Production-grade AI applications
  • Tool-integrated intelligent systems
  • Context-aware AI workflows
  • AI developer tools
  • Scalable LLM infrastructure

Current Stack



LangChain • MCP • OpenAI • Vector Databases • Agent Architectures

Featured AI Systems

Learning Resource Generator

AI-powered system that generates structured learning paths using LLMs, LangChain, and contextual reasoning



Unity AI / Game Systems

Game systems and mechanics built with Unity, focusing on intelligent interaction and system design

GitHub Activity

Problem Solving

Connect

Background

Computer Science (Cyber Security) — ongoing

Professional focus centered on AI Engineering, building real-world LLM systems, agent architectures, and MCP integrations.



Thanks for visiting. Now go build something intelligent.

Contribution Insights

Productivity Clock

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  1. TShreek TShreek Public

    Config files for my GitHub profile.

    1

  2. Unity Unity Public

    My game development portfolio, showcasing a collection of 2D and 3D games built with Unity and C#.

    C#

  3. RachitNaveen/MiniP_Latest RachitNaveen/MiniP_Latest Public

    Python 1