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I am a PhD academic writer/editor helping researchers, doctoral candidates, and journal authors improve research papers, journal manuscripts, theses, dissertations, and literature reviews into clear, well-structured, submission-ready documents. ✔ Research paper and journal manuscript editing ✔ Thesis and dissertation editing ✔ Literature review, SLR, and PRISMA support ✔ APA 7, Harvard, Chicago, IEEE, and journal formatting ✔ Citation, DOI, reference, and bibliography correction ✔ Reviewer/supervisor feedback implementation ✔ Turnitin similarity review and ethical rewriting guidance I focus on structure, argument flow, academic tone, clarity, referencing, formatting, and professional presentation. If your document is unclear, repetitive, AI-sounding, poorly referenced, or not aligned with university/journal guidelines, I can review it and make it stronger, cleaner, and more polished.

⤷ 𝐈 𝐝𝐨𝐧’𝐭 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐝𝐞𝐦𝐨𝐬, 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐫𝐞𝐚𝐥 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐫𝐞𝐬𝐮𝐥𝐭𝐬. I build using an AI-first Agentic Development Workflow, leveraging Claude Code, OpenAI Codex, Cursor, Gemini, MCP, and LangGraph to deliver production-ready AI solutions faster without compromising quality. I specialize in AI Agents, Multi-Agent Systems, RAG, AI Voice, and Workflow Automation, building intelligent systems that reason, retrieve knowledge, use tools, and automate real business operations. ✅ Rising Talent on Upwork ✅ 100% Client Satisfaction Across Completed Projects ✅ 20+ AI Systems & Automation Projects Built ✅ Specialized in AI Agents, Multi-Agent Systems, RAG, Voice AI & Workflow Automation ✅ End-to-End AI Development ✅ Production-Ready Architecture & Scalable Solutions 🤖 𝐑𝐞𝐜𝐞𝐧𝐭 𝐀𝐈 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 ⫸ AI Agents & Multi-Agent Systems ⫸ AI Voice Agents & AI Receptionists ⫸ RAG & Enterprise Knowledge Assistants ⫸ Workflow Automation (n8n • Make • Zapier) ⫸ CRM & Business Process Automation ⫸ AI SaaS Applications & Internal Copilots ⫸ FastAPI Backends & API Integrations 𝐓𝐡𝐞 𝐫𝐞𝐬𝐮𝐥𝐭: Faster MVP delivery, scalable architecture, reduced operational costs, and AI systems built for production not prototypes. 🎯 𝐖𝐡𝐚𝐭 𝐈 𝐎𝐟𝐟𝐞𝐫 𝟏. 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 & 𝐌𝐨𝐝𝐞𝐫𝐧 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Designing production-ready AI systems with Claude Code, Cursor, OpenAI Codex, MCP, LangGraph, and modern agentic architectures to build scalable, maintainable, and intelligent applications. 𝟐. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Autonomous AI Agents • Multi-Agent Workflows • Tool Calling • Function Calling • Long-Term Memory • Planning • Task Automation • Human-in-the-Loop Systems 𝟑. 𝐋𝐋𝐌 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐑𝐀𝐆 LangGraph • LangChain • Retrieval-Augmented Generation (RAG) • Vector Databases • Semantic Search • Embeddings • Knowledge Bases • Prompt Engineering 𝟒. 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 n8n • Make • Zapier • CRM Automation • Business Process Automation • API Integrations • Email, SMS & WhatsApp Automation 𝟓. 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 Retell AI • Vapi • AI Receptionists • Appointment Scheduling • Lead Qualification • Customer Support • Voice Automation 𝟔. 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 Python • FastAPI • PostgreSQL • Docker • REST APIs • Microservices • Custom AI Platforms • SaaS Development 🛠️ 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐓𝐨𝐨𝐥𝐛𝐨𝐱 ⫸ Agentic Development: Claude Code • Cursor • OpenAI Codex • Gemini • MCP • GitHub Copilot ⫸ AI Frameworks: LangGraph • LangChain • OpenAI • Claude • Gemini • Vector Databases • Embeddings ⫸ Automation: n8n • Make • Zapier • GoHighLevel • REST APIs • Webhooks ⫸ Voice AI: Retell AI • VAPI • Twilio • OpenPhone ⫸ Backend: Python • FastAPI • PostgreSQL • Docker • Redis • React • Next.js 🧠 𝐑𝐞𝐚𝐥 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐈’𝐯𝐞 𝐁𝐮𝐢𝐥𝐭 ⫸ AI Interview Platform for automated interviews, candidate evaluation, and hiring reports. ⫸ Enterprise RAG Assistant trained on PDFs, SOPs, and internal company knowledge. ⫸ AI WhatsApp Assistant integrated with CRMs, notifications, and business workflows. ⫸ AI Voice Receptionist with appointment scheduling, CRM updates, and calendar synchronization. ⫸ AI Hotel Concierge handling reservations, payments, and guest support. ⫸ AI Real Estate Agent for intelligent property search, buyer qualification, and appointment booking. ⫸ Google Reviews Intelligence Platform with sentiment analysis and AI-generated responses. ⫸ AI Automation Platforms connecting CRMs, databases, calendars, email, payment gateways, and third-party APIs. 🤝 𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞? ⭐️ AI-first development for faster delivery and lower costs. ⭐️ Production-ready architecture built to scale. ⭐️ Business-focused solutions with measurable ROI. ⭐️ Clean, maintainable, and well-documented code. ⭐️ End-to-end ownership from architecture to deployment. ⭐️ Reliable communication and long-term support. 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫𝐰𝐚𝐫𝐝 𝐭𝐨 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮! - 𝐒𝐚𝐚𝐝. Core Expertise: AI Engineer | AI Systems Engineer | AI Agent | Agentic AI Developer | Multi-Agent Systems | AI Automation Engineer | AI Workflow Automation | LLM Engineer | Generative AI | Retrieval-Augmented Generation (RAG) | LangGraph | LangChain | MCP | Model Context Protocol | Prompt Engineering | OpenAI API | Claude API | Gemini API | AI Voice Agent | Retell AI | Vapi | n8n | Make | Zapier | CRM Automation | Business Process Automation | Workflow Automation | FastAPI | Python | PostgreSQL | Docker | REST API | API Integration | Forward Deployed Engineer | Vector Databases | OpenAI Embeddings | Semantic Search | Knowledge Base | AI Chatbot Development | AI Assistant Development | Enterprise AI | SaaS | Backend Development | Microservices | Redis | React | Next.js | TypeScript | GitHub | Software Architecture | AI Consulting

Full-Stack AI Apps Developer | Agentic AI & LLM Workflows | Android | iOS | Kotlin Multiplatform | Python | Spring Boot I design and build AI Agent applications, LLM-powered workflows, and full-stack mobile apps end to end. From agent architecture and backend orchestration to native Android, iOS, and cross-platform delivery, I own the entire stack with zero handoff risk. 10+ years of engineering experience, 100% Job Success Score, Top Rated on Upwork. What I Build AI Agent apps and autonomous workflows (Java, Python, Kotlin) · LLM integrations (OpenAI, Claude, Gemini, GPT-4) · MCP (Model Context Protocol) server and client implementations · RAG pipelines with vector database retrieval · AI automation and multi-step agentic workflows · Custom AI assistants and chat apps with streaming responses · Native Android (Kotlin, Jetpack Compose) · Native iOS (Swift, SwiftUI) · Kotlin Multiplatform (KMP) and Compose Multiplatform · Spring Boot backends and microservices powering AI agent apps · E-commerce, healthcare, fintech, and real-time social apps with AI features built in AI & Agent Stack Languages: Java · Python · Kotlin · Swift Agent Frameworks: LangChain · LangChain4j · LangGraph · custom agent orchestration Protocols & Retrieval: MCP (Model Context Protocol) · RAG · Vector Databases (Pinecone, Weaviate, Chroma, pgvector) LLM Providers: OpenAI API · Anthropic Claude API · Google Gemini Workflow & Automation: Multi-agent pipelines, tool-calling agents, autonomous task execution, n8n-style automation logic built natively Backend: Spring Boot · Ktor · REST APIs · WebSockets · JWT Authentication Mobile: Kotlin Multiplatform · Jetpack Compose · SwiftUI · Room · SQLDelight · Firebase Delivered Results AI Agent Assistant App — KMP (Android + iOS) + Spring Boot backend, GPT-4 streaming, tool-calling agent layer, offline voice → 50K+ downloads · 4.7★ · 200K+ AI conversations/month RAG-Powered E-Commerce App — Compose Multiplatform, vector search product recommendations, Stripe, Spring Boot → $2M+ mobile revenue · 99.8% crash-free Healthcare AI Platform — HIPAA-compliant KMP + Spring Boot, AI-assisted triage agent, encrypted offline records → Deployed across 3 hospital networks Real-Time Agent-Driven Social App — WebSocket sync, Spring Boot, automated moderation agent → 10K concurrent users, sub-100ms delivery Why Clients Choose Me ✔ Full-stack ownership — AI agent logic, backend orchestration, mobile UI, deployment, all by one engineer ✔ Deep experience with MCP, RAG, and vector databases, not just prompt wrapping ✔ Production-grade agent workflows in Java and Python, integrated into real mobile and backend systems ✔ 100% Job Success Score · Top Rated on Upwork ✔ Fast, proactive communication and a product-focused approach Send me an invite or message. I'll respond within a few hours with a clear technical approach for your AI agent or mobile project. Muhammad Hassan Full-Stack AI Apps Developer | Agentic AI & LLM Workflows | Android | iOS | Kotlin Multiplatform | Python | Spring Boot

AI Engineer | Claude Code | Anthropic API | LangGraph | CrewAI | AutoGen | MCP Servers | Multi-Agent Systems | Full-Stack AI Applications Most teams have figured out that a chatbot can answer a question, but the real work in a business is never a single question. It is a chain of steps: pulling data from one system, deciding what to do with it, taking an action in another tool, and following up. A plain chatbot cannot do any of that. It just talks. I build AI agents that actually do the work,systems that reason through a task, call the right tools, and carry it from start to finish without a human stepping in at every stage. I am an AI Engineer who builds agentic systems and the applications around them. My focus is Claude Code, the Anthropic API, and multi-agent architectures using frameworks like LangGraph, CrewAI, and AutoGen, along with MCP servers that connect a model to real tools, data, and context. This is the difference between a demo that answers prompts and a system that can take an instruction, break it into steps, and execute each one against your real tools and data. Here is the kind of work I deliver: - Build autonomous agents that handle multi-step workflows, where the model decides what to do next instead of following a rigid script. - Build MCP servers that give a model secure, structured access to your databases, APIs, and internal tools, so it can act on real information rather than guess. - Build multi-agent systems where specialized agents hand work off to each other, one researching, one drafting, one verifying, to handle tasks too complex for a single prompt. - Build full-stack AI applications with clean backends, robust API integrations, and user-friendly frontends, because an agent is only useful when it is part of a real product. Few examples of what this looks like in practice: Project 1: An AI meeting agent that captured, summarized, and acted on meeting content. Project 2: A full-stack Claude integration with a clean frontend and backend, where AI functionality was engineered into the core of the product. Project 3: An MCP server or multi-agent workflow that connected a model to real tools and executed multi-step tasks. What makes agentic work different? An agentic system is taking actions on its own, so it has to be built carefully. I design agents with proper guardrails, clear tool boundaries, error handling, and fallback mechanisms for when a step fails. This keeps the system reliable and predictable instead of going off the rails the moment something unexpected happens. I treat these as production systems, with documentation, testing, deployment support, and post-handover assistance. Let's build something useful If you want to move past a chatbot that only talks and build an AI system that can genuinely take action and complete real work, send me a message. Tell me the task you want handled end-to-end, and we will design the agent that does it. Tufail

I’m an AI/ML Engineer with deep expertise in Python, NLP, LLM integration, and intelligent AI solutions. I design and deploy AI-powered systems such as custom chatbots, multi-agent frameworks, RAG knowledge platforms, and automated workflows that help businesses transform data into actionable insights, automate complex tasks, and improve operational efficiency. I’m experienced in AI agent orchestration, conversational AI, NLP analytics, predictive modeling, recommendation engines, and end-to-end machine learning pipelines. I also specialize in workflow automation using n8n, Make, Zapier, GoHighLevel, and Python scripts for data processing, API integrations, and AI model deployment. Services I Offer: - LLM Integration with advanced models like OpenAI, Claude, Gemini, and Deepseek - RAG Systems & Knowledge Graphs for actionable insights - AI Agents & Multi-Agent Systems for automation and decision-making - Custom Chatbots & Conversational AI for websites, apps, and support - NLP & Text Analytics: summarization, sentiment analysis, entity recognition Workflow & Automation - Workflow Automation Platforms: n8n, Make, Zapier, GoHighLevel - Python Automation: scripts, pipelines, API integrations, scheduling - Data Expertise: preprocessing, feature engineering, model deployment - Python Libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain Why Clients Choose Me: ✅ Scalable, production-ready AI solutions ✅ Cross-domain expertise: AI + Data + Automation ✅ Fast delivery with maintainable, high-quality code ✅ Clear, proactive communication and strategic guidance 💬 Let’s build AI systems that solve real problems, automate your workflows, and deliver measurable results.

I help PhD researchers, healthcare teams, NGOs, and academic institutions transform complex interview and focus group data into rigorous, publication-ready qualitative findings. With 10+ years of experience in qualitative research, I specialize in thematic analysis, framework analysis, grounded theory coding, and qualitative synthesis using NVivo and MAXQDA. My work goes beyond basic coding. I develop structured analytical frameworks aligned with research questions, study objectives, and publication standards. I have successfully supported academic, healthcare, and policy research projects involving large qualitative datasets, including interviews, focus groups, program evaluations, and doctoral research studies. Services I Provide: • NVivo & MAXQDA coding and qualitative data management • Thematic Analysis (Braun & Clarke) • Grounded Theory & inductive/deductive coding • Framework Analysis and theme development • Interview and focus group analysis • Research synthesis and qualitative reporting • Reviewer-response support and manuscript revision assistance • Qualitative findings interpretation and presentation Areas of Expertise: • Healthcare & Public Health Research • Policy & Program Evaluation • Academic & Doctoral Research Support • Social Science & Applied Research Projects Why Clients Work With Me: • 100% Job Success Score on Upwork • Extensive experience with large interview datasets • Strong track record in long-term hourly projects • Clear communication and structured analytical processes • High attention to methodological rigor and detail • Reliable delivery of well-organized, publication-focused outputs If you need a qualitative research specialist who understands both the technical and methodological aspects of qualitative analysis, I would be glad to support your project.