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VamsiMyla916/README.md

Vamsi Krishna Sai Myla 👋

👨‍💻 AI Solutions Engineer | Associate Solutions Architect

I am an AI-Native Engineer and Rapid Prototyper who bridges the gap between complex AI research and reliable production systems.

My core strength is System Architecture: I leverage LLMs and AI-assisted workflows to architect and deploy full-stack applications 3x faster than traditional development cycles.

I specialize in building end-to-end RAG pipelines, decoupled inference APIs, and Agentic workflows.

  • 🔭 Currently Building: Agentic workflows using Oumi and LangGraph.
  • 🏗️ Architecture Stack: FastAPI (Backend), Docker (Containerization), Streamlit (UI), FAISS (Vector Store).
  • 🌱 Ask me about: Optimizing RAG retrieval latency, local LLM inference, and rapid prototyping strategies.
Vamsi Myla

📫 Contact Info

Gmail
LinkedIn
Phone

🚀 Featured Architectures & Prototypes

I build production-ready prototypes that solve real business problems. Check out the live demos below.

System / Architecture Live Demo GitHub Repo
End-to-End RAG System
Architecture: PDF Ingestion → LangChain Chunking → FAISS Vector Store → Gemma (LLM).
Focus: Data Privacy & Accurate Retrieval.		 🚀 Live App 📄 System Code
Decoupled Computer Vision API
Architecture: YOLOv8 Inference Engine (FastAPI/Docker) ↔ Async Streamlit Client.
Focus: Low-latency API design & Microservices pattern.		 🚀 Live App 📄 System Code
AI Data Analyst Agent
Architecture: Dynamic Python Code Generation Agent for CSV Analytics.
Focus: Automating Business Intelligence workflows.		 🚀 Live App 📄 System Code

🛠️ Technical Stack

Generative AI & RAG: LangChain HuggingFace OpenAI FAISS Pinecone

ML Frameworks & Libraries: PyTorch TensorFlow Scikit-learn NumPy Pandas

Backend, Cloud & DevOps: FastAPI Docker Kubernetes AWS GCP Postman

Languages: Python SQL TypeScript Rust JavaScript

Pinned Loading

  1. csv-data-story-teller csv-data-story-teller Public

    Python 1

  2. cv-api cv-api Public

    Python 1

  3. RAG-chatbot-streamlit RAG-chatbot-streamlit Public

    A RAG chatbot that answers questions about a user-uploaded PDF using a local, open-source LLM

    Python 1