Aun R.

I build, ship, and scale production-grade AI Agents, Multi-Agent Systems, and Enterprise RAG Pipelines that handle real-world user load with zero fluff. If you need a reliable Individual AI Engineering Lead (not an agency) who builds secure, compliant, and scale-ready AI systems rather than fragile sandbox demos, let’s talk Quick Highlights & Track Record • 1M+ Active Users (TON Foundation / Telegram): Architected the entire CX automation system, multi-agent routing on Vertex AI, Cloud Run, and real-time LLM-as-a-Judge evaluation pipelines. • Stanford Certified in AI Security: Design systems with built-in governance, prompt injection defense, guardrails, and compliance (EU AI Act, HIPAA, ISO). • 50% Efficiency Boost (Sinecure): Built multi-agent talent discovery platforms with LangChain & EU AI Act anonymization. • 40% Support Reduction (Paymob): Built Paymob’s first AI support engine; unified 20+ payment APIs cutting onboarding time by 60%. • HealthTech & PropTech: Built HIPAA-compliant call analytics (Caregenix), EHR integrations (AthenaHealth, DrChrono), and Landlord AI (Agno + WhatsApp + Stripe). Core Tech Stack & Capabilities • Agentic Frameworks & AI: Claude 3.5 Sonnet, OpenAI GPT-4o, Model Context Protocol (MCP), LangGraph, LangChain, Agno, AWS Bedrock AgentCore, Vertex AI Agents • RAG & Vector Search: Enterprise Hybrid Search (BM25 + Dense Vectors), Qdrant, Pinecone, Contextual Retrieval, Knowledge Graphs LLMOps, Evals & Security: LLM-as-a-Judge, Evals, Prompt Injection Defense, Agent Observability (Arize/LangSmith), Stanford AI Security Standards • Backend & Cloud Architecture: Python (FastAPI, Django, Flask), Node.js, AWS (Bedrock, ECS, Fargate), GCP (Vertex AI, Cloud Run, BigQuery, Firestore), Docker, Kubernetes, Microservices • Integrations & Automation: WhatsApp (Twilio), Telegram Bots, Dialogflow CX, REST, GraphQL, Stripe, Payment Gateways 🎯 Industries ServedWeb3 | FinTech | HealthTech | HRTech | PropTech | Enterprise SaaS | AdTech 📩 Let's Build Your SystemNeed a clear, no-nonsense assessment of your project's technical scope, feasibility, and architecture before spending money? Send me a message or invite me to your job post, and I'll review your setup. Artificial Intelligence, Generative AI, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Multi-Agent Systems, LangChain, LangGraph, LLMOps, AI Security, Python, FastAPI, Vector Databases, Google Cloud Vertex AI, Amazon Web Services (AWS), Conversational AI.