Muhammad Danial S.

I build production-ready AI Agents, RAG systems, and AI Automation solutions, not just prototypes. I'm a Senior AI Engineer with 7+ years of experience designing, building, and deploying AI-powered products for startups, SaaS companies, and enterprise teams. My experience includes developing AI capabilities for a SaaS platform serving 2M+ monthly active users and 530K+ businesses, and engineering fraud-detection components for banking workloads processing approximately 500 transactions per second. I specialize in Agentic AI, Multi-Agent Systems, LLM Engineering, RAG, and AI Automation, delivering everything from initial architecture to production deployment and ongoing maintenance. ━━━━━━━━━━━━━━━━━━━━ 🚀 WHAT I CAN BUILD FOR YOU ━━━━━━━━━━━━━━━━━━━━ **1. AI Agents & Multi-Agent Systems** • Custom AI agents with tool calling, memory, reasoning workflows, and API integrations. • Multi-agent orchestration using LangGraph, CrewAI, and OpenAI Agents SDK. • Autonomous business workflows with human-in-the-loop controls. • AI agents integrated with existing applications, databases, and enterprise systems. **2. RAG & Enterprise AI Applications** • Retrieval-Augmented Generation (RAG) systems and enterprise knowledge assistants. • Document ingestion, embeddings, vector databases, and hybrid search. • AI chatbots and copilots connected to internal business knowledge. • Retrieval optimization, evaluation, and context management. **3. AI Automation & System Integration** • Business process automation using AI agents, n8n, Make, and Python. • CRM, ERP, SaaS, webhook, and third-party API integrations. • Intelligent document processing and data extraction. • Automated lead qualification, customer communication, and operational workflows. **4. Voice AI & Conversational Agents** • AI calling agents for inbound and outbound communication. • Voice agents using Vapi, STT, LLMs, and TTS. • AI-powered SMS, WhatsApp, and email automation. • Conversational agents integrated with CRM and business applications. **5. AI Product Engineering & Deployment** • Production AI applications, SaaS products, and FastAPI backends. • Cloud deployment using AWS, Azure, GCP, and Docker. • LLMOps, monitoring, evaluation, and observability. • API development, database architecture, and CI/CD pipelines. ━━━━━━━━━━━━━━━━━━━━ 📊 REAL-WORLD PRODUCTION EXPERIENCE ━━━━━━━━━━━━━━━━━━━━ My engineering experience includes AI implementations across SaaS, financial technology, real estate, and business automation. **OfficeHub — Enterprise Agentic AI Platform** Developed Agentic RAG assistants, AI voice calling, and multichannel communication agents for a SaaS platform serving: • 2M+ monthly active users. • 530K+ businesses globally. • Customers across 100+ countries. **Esentinel — Banking Fraud Detection** Engineered AI/ML components for a banking fraud-detection system involving: • Approximately 500 transactions per second. • Behavioral analysis and intelligent risk scoring. • High-throughput data processing and AI-driven fraud detection. **SparkOS — AI Sales Automation** Developed agentic workflows for lead qualification and automated customer communication across voice calls, SMS, email, and WhatsApp. **Iqland.ai — Real Estate AI Copilot** Developed AI-powered conversational assistance and property-search capabilities using RAG and structured data integration. **AI Product Leadership** Led and mentored eight cross-functional teams through a 90-day product development bootcamp, covering product discovery, system architecture, AI integration, and MVP delivery. ━━━━━━━━━━━━━━━━━━━━ 🛠 TECHNICAL EXPERTISE ━━━━━━━━━━━━━━━━━━━━ AI & LLMs: OpenAI, Claude, LangGraph, LangChain, CrewAI, AutoGen, Agentic AI, Multi-Agent Systems, RAG, MCP. Backend & Data: Python, FastAPI, REST APIs, PostgreSQL, MongoDB, Neo4j, Vector Databases. Automation: n8n, Make, Webhooks, API Integrations, Voice AI. Cloud & Deployment: AWS, Azure, GCP, Docker, CI/CD, LangSmith, LLMOps. ━━━━━━━━━━━━━━━━━━━━ 🤝 HOW I WORK WITH CLIENTS ━━━━━━━━━━━━━━━━━━━━ I provide end-to-end AI engineering, not just isolated development tasks. 1. Discovery — Understand business requirements and identify AI opportunities. 2. Architecture — Design the system, workflows, integrations, and infrastructure. 3. Development — Build, integrate, and test the AI solution. 4. Deployment — Optimize and deploy into your production environment. 5. Maintenance — Monitor, improve, and extend the solution as your business evolves. I work with startups, SaaS companies, and enterprise teams on custom AI development, technical consulting, production implementations, and long-term engineering partnerships. **Have an AI project or automation challenge?** Send me a message describing your business problem, existing technology stack, and expected outcome. Let's turn your AI requirements into a reliable, production-ready system.