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I build production AI agent systems and workflow automation — using n8n, Make, LangChain, and multi-agent orchestration frameworks (MCP, LangGraph). I've deployed RAG pipelines, voice AI integrations (Vapi), and API-connected automation that replace manual business processes at scale. I help companies build cloud infrastructure and AI systems that actually work in production. Background: 15 years in platform engineering, including 4+ years as Director of Engineering at Nike where I architected infrastructure handling millions of requests. More recently: led platform engineering at Canva, built custom transformers for defense applications (early illness detection), and I'm currently building an AI-powered healthcare platform. What I do: → Cloud architecture (AWS, Azure, Kubernetes, Terraform) → AI/ML implementation — LLMs, custom models, MLOps pipelines → Platform engineering — CI/CD, developer experience, self-service tooling → Technical leadership — team building, architecture decisions, due diligence Recent work: - Built multi-model AI pipeline (GPT-4V, Claude, DeepSeek) for healthcare document processing - Developed custom transformer architecture for warfighter early illness detection - Designed CI/CD systems at Nike still used by hundreds of engineers globally I work async, communicate clearly, and deliver documentation you can actually use. If you need senior technical work done right, let's talk.

You've been told to "use AI." Nobody has told you where it actually fits in YOUR business. That's what I do. I find the manual work in your operations that should be replaced by AI - and the work that shouldn't - then I build the systems that make it real. I'm not a no-code automator who picked up the stack last year. I'm a senior software engineer with 15+ years shipping production systems at multi-billion-dollar companies and acquired startups. That depth matters when you're integrating AI into a real business, because most projects look simple in a demo and get complex fast. And then break because they haven't been thought out properly. ━━━━━━━━━━ 𝗥𝗘𝗖𝗘𝗡𝗧 𝗪𝗜𝗡𝗦 ✓ Saved an 8-figure Australian eCommerce brand $55K+/year by automating SEO product page generation from messy Shopify data ✓ Built a cold email system generating $1M+/year in pipeline for a SaaS company — 7 to 10 sales calls booked weekly on autopilot ✓ Built a lead-gen system for a recruitment firm that identifies 300+ high-value prospects monthly via hiring signals (funding rounds, expansions, transformations) — before competitors see them ✓ Reclaimed 20+ hours/month for a 7-figure business brokerage with a LinkedIn content system ✓ Found 10,000+ actively hiring companies for a recruitment client in week one ━━━━━━━━━━ 𝗠𝗬 𝗕𝗔𝗖𝗞𝗚𝗥𝗢𝗨𝗡𝗗 I'm not a consultant who reads about AI. I actually build the things. → Master's in Computer Science → 15+ years engineering across mobile, web, automation, and AI → Led mobile development teams at Tabcorp (launched Keno app generating $100K+/month) and AGL (Australia's largest energy company) → Worked at Pie - a Singapore startup later acquired by Google I build with Claude, Codex, n8n, Supabase, Python, Node, React - and whatever else fits the problem. I'll tell you when no-code is the right answer and when you actually need something custom. Most "AI experts" can only sell you the tool they know. I'll tell you the truth. ━━━━━━━━━━ 𝗪𝗛𝗬 𝗧𝗛𝗜𝗦 𝗠𝗔𝗧𝗧𝗘𝗥𝗦 𝗥𝗜𝗚𝗛𝗧 𝗡𝗢𝗪 The cost of building custom software has dropped dramatically in the last 18 months. AI didn't just give us ChatGPT. It gave senior engineers the ability to ship in days what used to take months. That changes things, a lot. You can now own custom AI systems built for YOUR data, YOUR workflows, YOUR team. And all for less than what you're paying in annual SaaS subscriptions to tools that don't even talk to each other. The SaaS-bloat era is ending. Custom is finally cheaper than off-the-shelf. ━━━━━━━━━━ 𝗧𝗛𝗘 𝗔𝗜 𝗜𝗡𝗧𝗘𝗚𝗥𝗔𝗧𝗜𝗢𝗡 𝗔𝗨𝗗𝗜𝗧 If you don't know where AI fits in your business, this is where we start. What you get: ✅ Full operational audit (15–20 page document mapping every manual workflow, bottleneck, and data silo) ✅ AI & Automation Opportunity Map — what's worth automating, what's not, what to build first ✅ ROI projection + savings report — real numbers, not vibes ✅ Priority matrix — what to fix first, ranked by impact ✅ One Claude AI agent or automation deployed in week 1 ✅ 30-minute strategy walkthrough call Investment: $2,500. Yours to keep regardless. 🛡 Guarantee: if I don't find at least $2,500/month in operational savings, you pay nothing. Full refund. You keep every deliverable. The audit takes 2–3 weeks. I do the heavy lifting. I need about 5–10 hours of your team's time across interviews and a tool walkthrough. ━━━━━━━━━━ 𝗧𝗛𝗘 𝗠𝗔𝗧𝗛 A 15-person team losing 8 hours per week per person to manual processes (copy-pasting between tools, hunting for data, re-entering things) at a $50/hr blended rate = $312,000/year in waste. The audit costs $2,500. That's less than three days of what you're already losing. ━━━━━━━━━━ 𝗜𝗦 𝗧𝗛𝗜𝗦 𝗙𝗢𝗥 𝗬𝗢𝗨? This works best if you have: → 10+ employees → $500K+ revenue → A clear sense your team is buried in manual work that should already be automated → A decision-maker ready to act, not browse This is NOT for you if: ✗ You want someone to bolt a chatbot onto your website ✗ You're shopping for the cheapest n8n freelancer ✗ You think AI is magic that doesn't need integration into real systems ━━━━━━━━━━ 𝗦𝗧𝗔𝗖𝗞 𝗜 𝗕𝗨𝗜𝗟𝗗 𝗪𝗜𝗧𝗛 Claude, OpenAI, n8n, Supabase, Airtable, Python, Node, React, Shopify API, Apify, Firecrawl, Instantly, Hunter. And whatever else fits the problem. ━━━━━━━━━━ 𝗡𝗘𝗫𝗧 𝗦𝗧𝗘𝗣 📩 Send me a message with one line: what does your team spend the most manual time on right now? I'll tell you within 24 hours whether the audit makes sense. And if it doesn't, I'll tell you that too. No pitch. No pressure.

AI Systems Engineer — multi-agent architecture, MCP integration, production-grade agentic systems TLDR I turn experimental AI into production systems executives can trust and engineers can maintain — repeatable, auditable, cost-efficient. My core offer: a 3–5 day AI Systems Review. Share your agent architecture and sample prompts; I deliver prioritized findings, implementation-ready fixes, and a P0/P1/P2 roadmap your engineers can run with immediately. My proof isn't a claim — it's a running system: a multi-agent operating system with cross-session continuity, governed agent onboarding, and a self-auditing documentation culture, in continuous daily use. When you work with me, you're working with the discipline I'm selling. DEEPER RUNDOWN I work from a discipline I call Human-AI Engineering: build durable human-AI capability, not AI dependence. Most teams still treat AI like a vending machine — prompt, ship, move on. I build the opposite: systems with memory, audit trails, and continuity, engineered so the people around them become more capable over time, not less. I design multi-agent architectures, prompt flows, and MCP integrations that reduce operating risk, cut cost, and preserve institutional knowledge instead of letting it evaporate into chat logs. WHAT I DELIVER Risk reduction — surface the architecture and prompt-flow failure modes that cause rework and overruns. Actionable fixes — prioritized, implementation-ready recommendations your engineers can run with. Cost & performance wins — token/compute savings, fewer round trips, smarter parallelization. Operational readiness — auth, error handling, monitoring hooks, secure MCP boundary design. Capability uplift — documentation and workflows so your team retains expertise instead of outsourcing it. SERVICES Architecture review — agent boundaries, coupling, scaling, failure modes. Prompt engineering audit — modular prompts, deterministic staging, test-harness design. MCP & integration review — capability scoping, auth, error handling, throughput planning. Efficiency optimization — batching, caching, token reduction, parallel execution. Deliverables — executive summary, prioritized findings, P0/P1/P2 roadmap, implementation checklist. Optional — 30–45 min walkthrough to align on P0 items and hand off to engineers. Proof Points Built and operate a multi-agent OS: multiple AI principals coordinating through a custom MCP membrane, HTTP coordination API, and persistent memory organ — agents recover full context on arrival instead of cold-starting. Governed agent onboarding: principal-aware admission with bounded authority, permissioning, and continuity surfaces — the problem enterprises are currently failing at, running on my desk. Crash-safe continuity: found a data-loss failure mode by deliberately force-killing my own sessions, then fixed it upstream in a forked open-source logger. Privacy-first by construction: local model inference (Ollama), local speech transcription, encrypted local state — nothing leaves the machine that doesn't need to. Self-auditing practice: every system I run carries decision logs, ranked open-issues registers with named owners, and freshness-caveated status documents. Ask to see a sample — the audit culture is the product. Curriculum author: a ten-module engineering course (terminal foundations → running your own dev agent), delivered through a custom-built VSCode platform. Stack: Python, Node.js/TypeScript, FastAPI, Tauri, MCP, WebSockets, PowerShell automation, Ollama + the major model APIs. HOW WE START Share a short diagram or list of your agent components and sample prompts. I deliver a 3–5 day prioritized review with fixes and an implementation checklist. Optionally book a 30–45 min walkthrough to align on P0 items.

🎯 12+ Years of Expertise | Web & Mobile Development | AI/ML Engineering | RAG & AI Agents | Scalable SaaS & Custom Solutions Welcome! I lead a multidisciplinary team of expert Web & Mobile Developers, AI/ML Engineers, and UI/UX Designers delivering powerful, scalable, and user-focused digital solutions. We specialize in cross-platform app development, AI-powered systems, and end-to-end product delivery for startups, enterprises, and innovative businesses worldwide. ✅ 𝐖𝐡𝐚𝐭 𝐖𝐞 𝐎𝐟𝐟𝐞𝐫 – 𝐂𝐨𝐫𝐞 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 💻 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Full-stack development using React, Next.js, Node.js, NestJS, Express SEO-optimized, mobile-first, and high-performance websites and web apps Admin dashboards, SaaS platforms, multi-tenant architectures 📱 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Cross-platform iOS & Android apps using React Native Smooth UX, native-like performance, and App Store / Google Play publishing Real-time features, GPS, camera access, media sharing, offline support 🤖𝐀𝐈/𝐌𝐋 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐠𝐞𝐧𝐭𝐬 RAG (Retrieval-Augmented Generation) systems using OpenAI, LangChain, Pinecone AI Agents with Memory for personalized user experiences and task automation Custom AI/ML model integration, embeddings, fine-tuning, and LLM orchestration Chatbots & Virtual Assistants with contextual awareness and human-like interaction Rapid prototyping and deployment using Replit, Docker, and AWS 🛒 𝐄-𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 & 𝐌𝐚𝐫𝐤𝐞𝐭𝐩𝐥𝐚𝐜𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Custom online stores, subscription models, payment gateway integration Inventory management, order tracking, and dynamic product catalogs 🏥 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞, 𝐖𝐞𝐥𝐥𝐧𝐞𝐬𝐬 & 𝐅𝐢𝐭𝐧𝐞𝐬𝐬 𝐀𝐩𝐩𝐬 HIPAA/GDPR-compliant platforms for telemedicine, fitness, appointment scheduling Wearable integrations, health tracking, mental wellness & meditation tools 🧠𝐁𝐚𝐜𝐤𝐞𝐧𝐝, 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 & 𝐀𝐏𝐈𝐬 Scalable backend architecture with Firebase, PostgreSQL, MongoDB, MySQL Real-time syncing, API integrations, and secure data handling ⚙️𝐂𝐮𝐬𝐭𝐨𝐦 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐖𝐞 𝐁𝐮𝐢𝐥𝐝 💳 Payment Systems (Stripe, PayPal, Apple Pay, Google Pay) 🔐 Authentication & Security (JWT, OAuth, biometrics) 🔔 Push Notifications, Alerts & In-app Messaging 📞 Real-Time Chat, Audio & Video Calls (WebRTC, Twilio, Agora) 📲 WhatsApp, Social Media & CRM Integrations 🌍 Multi-language Support & Localization 📍 GPS & Maps Integration 📊 Analytics Dashboards with Custom Insights ⭐ Ratings & Review Systems 📦 Inventory & Order Management 🧾 PDF Invoice & Receipt Generation 🚀 CI/CD Deployment, Cloud Hosting, App Store Submission 💡𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐔𝐬 ✔ 12+ years of proven experience in Web, Mobile & AI/ML Development ✔ Delivered 100+ successful digital products across multiple industries ✔ Strong focus on intuitive UI/UX and performance optimization ✔ Expert in building both MVPs and complex, scalable systems ✔ Seamless project communication and milestone-based delivery ✔ Post-launch support, maintenance, and long-term partnerships 🧠 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 & 𝐓𝐨𝐨𝐥𝐬 Frontend: React, React Native, Next.js, Tailwind, Redux, TypeScript Backend: Node.js, NestJS, Express, Firebase, MongoDB, PostgreSQL, MySQL AI/ML: OpenAI, Hugging Face, LangChain, AutoGen, FAISS, Pinecone, Weaviate Cloud & DevOps: AWS, Docker, GitHub Actions, Replit, CI/CD Pipelines AI Agent Frameworks: Multi-agent systems, Task automation, Context memory Tools: Figma, Jira, Notion, Trello, Slack 🚀 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐍𝐞𝐱𝐭 𝐁𝐢𝐠 𝐈𝐝𝐞𝐚 Whether you're looking to: Build a cross-platform mobile app Launch a custom SaaS platform Develop a conversational AI agent or RAG-powered assistant Modernize an enterprise system or streamline internal workflows We’ve got you covered from idea to launch and beyond. 📌 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐚𝐧𝐝 𝐭𝐮𝐫𝐧 𝐲𝐨𝐮𝐫 𝐯𝐢𝐬𝐢𝐨𝐧 𝐢𝐧𝐭𝐨 𝐚 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐩𝐫𝐨𝐝𝐮𝐜𝐭.

I have shipped 𝟐𝟎+ 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈/𝐌𝐋 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 — LLM applications, RAG pipelines, AI agents, and voice AI — for SaaS startups, product teams, and enterprise businesses, backed by 7+ years of engineering experience and a 5.0 rating across every completed project. If you need more than a prototype, I can take your AI product from architecture and model selection to API integration, evaluation, cloud deployment, observability, and scaling. I’m Ali H., a Senior AI/ML and LLM Engineer with 7+ years of experience across Generative AI, machine learning, NLP, backend engineering, data pipelines, and cloud AI infrastructure. I build reliable AI systems that work with real business data, tools, APIs, and users. 🧠 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 ✔ AI agents using LangGraph, LangChain, CrewAI, and AutoGen ✔ Tool calling, planning, memory, routing, and human approval workflows ✔ Multi-agent systems connected to APIs, databases, CRMs, and SaaS tools ✔ AI workflow automation using n8n, Python, webhooks, and API integrations ✔ Automated research, support, document processing, reporting, and lead workflows 📚 𝐑𝐀𝐆 & 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 ✔ Retrieval-Augmented Generation pipelines for PDFs, websites, databases, and cloud storage ✔ Embeddings, semantic search, hybrid retrieval, reranking, and metadata filtering ✔ Vector databases including Pinecone, Weaviate, FAISS, ChromaDB, and pgvector ✔ Grounded answers, source citations, hallucination reduction, and RAG evaluation ✔ Enterprise knowledge assistants, document AI, and intelligent search systems 🤖 𝐋𝐋𝐌, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠 ✔ OpenAI, Claude, Gemini, Llama, Mistral, Mixtral, and Hugging Face integration ✔ Prompt engineering, structured outputs, function calling, and context optimization ✔ LLM fine-tuning using LoRA, QLoRA, PEFT, and domain-specific datasets ✔ Synthetic data generation, model evaluation, benchmarking, and guardrails ✔ Quantization and optimization using GGUF, GPTQ, and AWQ ✔ AI copilots, chatbots, assistants, and Generative AI SaaS features 📊 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐍𝐋𝐏 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 ✔ NLP pipelines for classification, extraction, summarization, and semantic analysis ✔ Model training, validation, evaluation, and production inference workflows ✔ Data preprocessing, feature pipelines, experiment tracking, and model monitoring ✔ Custom machine learning APIs and AI-powered decision systems ✔ Integration of ML models into SaaS products and enterprise applications 🎙 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 ✔ AI voice agents for inbound and outbound calls ✔ Deepgram, ElevenLabs, Twilio, Amazon Polly, and real-time voice integrations ✔ Appointment booking, lead qualification, call routing, transfers, and summaries ✔ Voice agents connected to CRMs, calendars, databases, and internal tools ⚙️ 𝐀𝐈 𝐀𝐏𝐈𝐬, 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 ✔ Python, FastAPI, Flask, Django, Node.js, and REST API development ✔ vLLM, TGI, DeepSpeed, and open-source LLM deployment ✔ AWS Bedrock, AWS, GCP, Azure, RunPod, Docker, Kubernetes, and CI/CD ✔ GPU inference optimization, batching, caching, monitoring, and cost control ✔ Secure authentication, logging, error handling, guardrails, and observability 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐛𝐮𝐢𝐥𝐝: ✔ AI agents and multi-agent systems ✔ RAG chatbots and enterprise knowledge assistants ✔ AI voice agents and conversational AI ✔ Generative AI and machine learning applications ✔ LLM fine-tuning and open-source model deployment ✔ Document AI and intelligent data extraction ✔ AI workflow automation with n8n and APIs ✔ Scalable AI SaaS products and inference systems I focus on production reliability, response accuracy, low latency, security, maintainability, and cost-efficient scaling—not just demos. Core Expertise: AI Engineer, Machine Learning Engineer, LLM Engineer, Generative AI Developer, AI Agent Developer, RAG Developer, AI Chatbot Developer, Voice AI Developer, LangChain, LangGraph, CrewAI, AutoGen, OpenAI API, Claude API, Gemini API, Hugging Face, Vector Database, Pinecone, pgvector, FastAPI, LoRA, QLoRA, AWS Bedrock, vLLM, AI Automation, n8n, Multi-Agent Systems

My name is Khajista Nizam, and I am the founder and manager at AICodeApp, which has a team of experienced programmers and researchers who develop innovative AI solutions and software. I have six years of working experience as a freelance developer focusing on projects related to artificial intelligence (AI), image processing, and machine learning. I have developed algorithms and codes for organizations, such as (1) the Ministry of Science, Technology, and Innovation Malaysia, (2) Hospital Kuala Lumpur, Malaysia, (3) Ohio State University Medical Centre, U.S.A., (4) ViTrox Corporation, and (5) Inari. I have done a Master of Engineering Science. I have received several gold medals and awards at the international level for projects and software prototypes I have worked on. My 'E-Health System for Chronic Wounds' won the Best Prototype award from the Malaysian Society for Automatic Control Engineers (MACE). I have seven years of experience working in four proofreading and editing organizations (i) TopEdit Author Services (USA), (ii) Charlesworth Author Services (USA), (iii) Accdon LLC (USA), (iv) MPWS Rich Resources (Malaysia), and (v) PM Proofreading (Malaysia) that serve clients worldwide. I have done a Master of Engineering Science, and one of my research papers received the "Best Paper" award from IEEE. I am detail-oriented and well-versed in different referencing styles. Technical skills: C/C++, MATLAB, Python, machine learning, computer vision, image/video annotation. Academic editing skills: Latex, Overleaf, MS Word.