Hi There. You definitely arrived on the right profile 🥳

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class GenAIEngineer:
    def __init__(self):
        self.name = "Venkatesh Nyamagoudar"
        self.role = "GenAI Engineer"
        self.domains = ["Healthcare AI", "Enterprise AI", "RAG Systems"]
        self.tech_stack = ["Python", "LLMs", "FastAPI", "Vector DBs", "Cloud AI"]
        self.languagesSpoken = ["en_US", "kn_IN"]
    
    def say_hi(self):
        print("Thanks for stopping by — let's build intelligent systems 🚀")

# Usage
engineer = GenAIEngineer()
engineer.say_hi()

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• 🧑🏻‍💻 I build production-grade Generative AI systems.
• 🔭 Currently working on RAG pipelines, LLM fine-tuning, and AI platforms.
• ✍️ Skilled in Scalable AI Backends, Model Evaluation, and Optimization.
• 🌱 Learning Multi-Agent Systems, LangGraph, and Advanced Prompting.
• 👯 Open to collaborating on GenAI, LLM, and AI Infrastructure projects.
• 💬 Ask me about RAG, LLMs, FastAPI, and AI System Design.
• ⚡ Fun fact: I optimize prompts like others optimize code 😄

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Tech Stack 💻

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📈 GitHub Status

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🚀 Featured Expertise

• ✅ Retrieval-Augmented Generation (RAG) Systems
• ✅ LLM Fine-Tuning & Evaluation (RAGAS, Custom Metrics)
• ✅ FastAPI-Based AI Platforms
• ✅ Semantic Search & Vector Databases
• ✅ Multi-Agent AI Architectures
• ✅ Cloud-Native AI (Azure, AWS)
• ✅ Voice AI & Multimodal Systems

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Socials 🌐

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🔥 GitHub Streak

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💻 Check Out My Repos ⬇️