I'm an AI Software Engineer with 2+ years of experience turning cutting-edge AI research into production-ready solutions. I specialize in LLM integration, developer enablement, and scalable AI deployment - focusing on making AI accessible and developer-friendly rather than just model training.

Currently working as a Computer Vision & AI Engineer at Fraunhofer FIT, where I contribute to GenAI enablement initiatives and coach development teams in LLM integration best practices for medical AI applications. I contributed previously on text and image processing pipelines.

• 🤖 LLM Integration & Production Deployment - Building scalable AI-powered applications
• 👨‍🏫 Developer Coaching - Enabling teams to adopt GenAI effectively
• 🏗️ AI Architecture - Designing cloud-based AI workflows and infrastructure
• ⚡ Performance Optimization - Reducing latency and improving system reliability
• 📚 Knowledge Sharing - Creating standards and training materials for sustainable AI adoption

Model Context Protocol (MCP) integration with LangGraph Agent

• 🔧 Dynamic tool discovery and multi-server support
• 🌐 Modular architecture for web search, YouTube transcripts, weather, math operations
• 🚀 Auto-registration of MCP-compatible services without custom integration

Production-ready Retrieval-Augmented Generation system

• ⚡ 60% faster performance with sub-second query responses
• 🔄 Concurrent user support with comprehensive error handling
• 🗄️ Vector databases integration with intelligent chunking strategies

Scalable server infrastructure for multiple LLM providers

• 🔀 Dynamic model selection and load balancing
• 📊 Comprehensive monitoring and logging systems
• 🏗️ Production-ready deployment with Docker and FastAPI

Advanced 3D geometry processing and CT reconstruction

• 📊 Gaussian curvature computation for 3D triangular meshes
• 🏥 CT reconstruction using PyTorch for medical imaging
• 🔬 Research-grade implementations with mathematical rigor

class AIEngineerSurya:
    def __init__(self):
        self.current_role = "Computer Vision & AI Engineer @ Fraunhofer FIT"
        self.experience = "2+ years in production AI systems"
        self.location = "Siegen, Germany"
        
    def expertise(self):
        return {
            "specialties": [
                "LLM Integration & Production Deployment",
                "GenAI Team Coaching & Enablement", 
                "AI Architecture & Infrastructure",
                "Performance Optimization & Scaling"
            ],
            "achievements": [
                "Reduced document processing latency from 30
            ]
            }