Muhammad H.

Senior AI/ML & Mobile Engineer with 10+ years of experience building **AI apps, Agentic AI applications, LLM apps, RAG systems, and AI-powered Android & iOS applications**. I build production-ready AI solutions using **Python, FastAPI, LLMs, LangChain, LangGraph, RAG, MCP, and modern AI APIs**, with scalable backend systems in **Java/Kotlin and Spring Boot**. From AI agents and intelligent automation to AI-native mobile apps, I develop complete products from **AI/ML backend and agent architecture to Android/iOS applications and cloud deployment**. ### AI / ML & Agentic Applications I build AI applications that go beyond simple chat interfaces: • **AI Agents & Agentic Applications** with tool/function calling and multi-step workflows • **LLM Applications** using OpenAI, Anthropic Claude, Google Gemini, and other models • **RAG Applications** with document ingestion, embeddings, retrieval, reranking, and hybrid search • **AI Automation & Workflows** for business processes and intelligent decision support • **MCP Servers & Clients** with custom tools and integrations • AI assistants, knowledge bases, document intelligence, recommendation systems, and conversational applications • Multi-agent workflows and AI orchestration using **LangGraph, LangChain, and LangChain4j** ### AI Backend & Cloud For AI backends, I primarily work with **Python and Spring Boot**: **Python** • Python, FastAPI, Pydantic, async APIs • LLM inference and streaming APIs • RAG pipelines and AI agent services • LangChain / LangGraph • Vector databases and embeddings • AI integrations and automation **Java / Kotlin** • Spring Boot REST APIs • Spring AI / LangChain4j • Microservices and event-driven systems • WebSockets and real-time APIs • PostgreSQL, Redis, authentication, and authorization **Cloud & DevOps** • AWS: EC2, ECS, Lambda, S3, RDS • Google Cloud Platform • Docker and CI/CD • PostgreSQL, pgvector, Redis • Production deployment, monitoring, and security ### AI-Powered Mobile Applications I combine AI backend engineering with native mobile development to build complete AI products. **Android** • Kotlin • Jetpack Compose • Modern Android architecture • On-device AI/ML integrations **iOS** • Swift • SwiftUI • Native iOS architecture **Cross-Platform** • Kotlin Multiplatform (KMP) • Compose Multiplatform • Flutter I can build mobile applications with **AI chat, voice assistants, streaming responses, document intelligence, recommendations, offline capabilities, and real-time AI features**. ### Selected Experience **AI Assistant & Agentic Mobile Platform** Built a Kotlin Multiplatform Android/iOS application connected to a Spring Boot backend with GPT-powered conversations, streaming responses, tool calling, and offline voice capabilities. **AI-Powered Recommendation Platform** Developed a Compose Multiplatform application with vector-based search and recommendations, integrated with a Spring Boot backend and cloud infrastructure. **Enterprise AI Platform** Built an AI-powered platform combining mobile applications, backend services, automated workflows, secure offline data, and AI-assisted business processes. ### Why Work With Me? • **AI + Backend + Mobile in one engineering workflow** • Strong focus on **AI/ML apps, Agentic AI, LLM apps, and RAG systems** • Python/FastAPI for AI services and **Spring Boot for scalable backend systems** • Native Android and iOS development • Kotlin Multiplatform for shared mobile products • Production-focused architecture rather than prototype-only AI demos • 10+ years of software engineering experience • Top Rated and 100% Job Success Score on Upwork ### Let's Build Your AI Product Whether you are building an **AI agent, LLM application, RAG platform, AI automation system, AI-powered Android/iOS app, or a complete AI-native product**, I can help take it from architecture and prototype to production. Send me your requirements, and I can help define the **AI architecture, backend architecture, mobile architecture, technology stack, and implementation plan**.