Hire the Best GPRS Specialists

15 Years of Multi-Channel Support. I Don’t Just Clear Your Queue—I Build the Machine That Scales It What I bring to your team: AI & Helpdesk Optimization: I built custom AI-assisted workflows using LLMs to automate ticket triage and macro drafting, drastically cutting down manual handling time. Technical & Billing Infrastructure: Expert-level mastery of Zendesk, Intercom, and complex subscription/billing workflows inside Stripe. Proactive Churn Reduction: I don't just close tickets. I map out user feedback trends and build structured bug and feedback reporting loops with product teams to patch retention leaks before they happen.

100% Job Success Score · 5-star rated · Rising Talent Delivered systems saving clients 2,000+ hours · 5,000+ end users reached across projects Named clients: Cevitalis GmbH · Lomond Wholesale · Black Nova Transport LLC My name is Michael O, and I help businesses automate their most manual workflows, deploy artificial intelligence systems that run without human supervision, and ship full-stack platforms their entire team can operate from day one. AI agent development and automation systems (Claude, Claude Code, n8n, CrewAI, MCP) Custom web development, AI app development, and API integrations (Node.js, Python, JavaScript, Laravel) Wix Velo / Wix Studio development Telegram bots and real-time monitoring systems Self-hosted AI deployment on VPS and Railway Here are a few things I've delivered for past clients: Built an AI allergen sheet automation platform for Lomond Wholesale (UK), reducing data entry from hours per batch to seconds across 5,924 live supplier spec files, deployed on Railway, in 10 days Built a Python Telegram prediction bot for SixAlgo, generating a live Whop subscription store with three paid tiers and a $200+/month marketing automation retainer, in 2 weeks Built a natural language dispatch interface for Black Nova Transport LLC, replacing multiple tools with one AI chat system for real-time rate lookup and driver assignment, in 1 week Built a Wix Velo partner attribution system for Cevitalis GmbH, tracking commissions across 5,000+ registered sales partners via dynamic URL routing and ref parameter injection, in 1 week Built an automated AI morning briefing system for Travels Atelier (Italy), delivering a branded daily email at 7:30 AM Rome time integrating 6 live data sources including Outlook, Notion, and 5 iCloud calendars, in 1 week Here's what I'll deliver for your project: Manual, repetitive work eliminated through business process automation, your team goes from hours of effort to seconds AI systems deployed to Railway, Wix, or VPS that run 24/7 without human intervention Full-stack platforms generating real client revenue from day one Complex third-party APIs wired into a single clean interface any non-technical team member can operate immediately Custom AI agent infrastructure that replaces $500+/month SaaS subscriptions with systems you own and control Tools: n8n · Claude API · Railway · Wix Velo/Studio · Twilio · Telegram Bot API · Supabase · Docker · Playwright · Stripe · GoHighLevel · Vapi · MCP · CrewAI · LangGraph · Airtable · Microsoft Graph API · Notion API Languages: Python · PHP/Laravel · Node.js · TypeScript · React · JavaScript · FastAPI · Express.js · Next.js Tell me what you're trying to build and I'll show you exactly how I'd approach it. I treat every project like it's my own business. Michael O · Akure, Nigeria

I build production AI systems that businesses run on every day: AI agents, RAG pipelines and LLM workflow automation for companies where a wrong answer costs real money. WHY CLIENTS PICK ME • Expert-Vetted, the badge Upwork awards its top 1% by interview, not by algorithm. 100% Job Success across 70+ projects and six years. • Production, not prototypes. Not proof-of-concepts. Every system ships with schema validation, evals and a regression suite, so it still works six months after launch and you can prove it. • Scale. I have processed 12 million documents through a single RAG pipeline and run agents live in front of real consumers. • I integrate with what you already have. Your CRM, your database, your APIs, your cloud. AWS certified (ML Specialty), equally at home on GCP. • You always know where the project is. A written update whenever something moves and a weekly Loom walkthrough. Clients tell me this is the part they remember. WHAT HAPPENS WHEN THIS GOES WELL A process that eats your team's week runs on its own, and you get the evidence it did not get worse. On an AI underwriting platform used by 15+ insurers across the US, policy review went from days to 3 to 5 minutes at 99.55% precision on the rules that move money. A UK mortgage broker cut manual payslip review by 80%, because the automation only escalates the documents two models disagree on. A UK government-data client got 12 million planning documents extracted, embedded and searchable in under 48 hours at 65% below the GPT-4 baseline cost. Most of my engagements run long-term. The first project automates one workflow; the ones after that tend to automate the rest. WHAT I DO 1. AI agents and workflow automation. Multi-agent systems that take a manual process end to end and make real decisions along the way. Built in LangGraph and Claude with MCP, schema-validated, observable at every step, with a human in the right place by design. I built the assistant inside a UK consumer money app: seven specialised agents, 43 deterministic tools, every financial figure computed by code rather than the model, so it cannot make up a number. 2. RAG and LLM engineering. Retrieval pipelines, knowledge assistants and chatbots over your own data, and cost and accuracy work on LLM systems already in production. 700+ UK planning policy documents summarised weekly, fully automated, at 75% lower LLM cost through context caching and batch APIs. 3. The machine learning and data foundations underneath. Document and data extraction, classification, Python, SQL, pandas and scikit-learn. A private-equity deal-screening agent I built completes the firm's own investment scorecard end to end, backtested against realised fund returns. HOW I BUILD The simplest thing that works, then iterate with evidence. Strong prompting before fine-tuning. An API call before custom infrastructure. A benchmark before an architecture decision. Non-negotiable on every build: • Structured outputs with schema enforcement. If it does not validate, it does not pass • Dual-model verification on high-stakes data • Full observability with LangSmith or Langfuse. Nothing is a black box • A gold-standard eval set built early and regression-tested on every change WHAT CLIENTS SAY "His Loom updates were the highlight of my week! He's great at communicating complex AI concepts to non-technical people and keeps you in the loop every step of the way." Chris Barnes, Co-Founder, Gains App "Adam is an absolute powerhouse of an LLM Engineer. He has first class communication skills which make working with him an absolute pleasure." Sammie Ellard-King, Founder, Gains App "A great balance of personality, professionalism and a deep knowledge of the AI space. He's a strategic thinker who considers the bigger picture." Tom Story, PlannrAI STACK • Agents and orchestration: LangGraph, LangChain, Claude Code, MCP, LangSmith, Langfuse • Models: Claude, OpenAI, ChatGPT, Gemini, Llama, via Bedrock, Vertex and direct APIs • Backend and infrastructure: Python, FastAPI, Postgres with pgvector, Docker, Kubernetes, AWS (ML Specialty certified), GCP • Machine learning: PyTorch, scikit-learn, pandas, SQL • Reliability: Pydantic structured outputs, dual-LLM verification, evals and LLM-as-judge test suites TAKING ON NOW • AI agent and workflow automation builds, end to end • RAG pipelines and knowledge assistants over your own data • Cost and accuracy work on LLM systems already in production • Claude Code and AI engineering enablement for teams adopting AI Expert-Vetted · 100% Job Success · $400K+ earned · 5,750+ hours · 70+ projects

I build agentic AI systems that run in production. Not demos. Flagship client: Princess Cruises (Carnival Corp, Fortune 500) — sole AI architect across 17+ deployed ship environments. Platform 1: Multi-agent BDI operations assistant. Custom orchestration written from scratch — no framework wrappers. LLM planning, guardrails, human-in-the-loop approvals, self-hosted Ollama at the ship edge. Fully air-gap compatible. Platform 2: Fleet-wide agentic assistant. Hybrid-retrieval RAG with 34,369 Confluence pages indexed into ChromaDB. MCP tooling invoking 40+ microservices in real time. 15+ years of Java and Spring Boot across 40+ microservices in enterprise production. 100+ P1 incidents resolved — I know what breaks at scale and why. Most AI engineers are Python-only and treat your existing backend as a black box. I architect AI directly into enterprise Java infrastructure — agent tooling, RAG pipelines, and LLM orchestration integrated into the systems you already run. $400K+ earned on Upwork. Top Rated. 12,755 hours logged. I also run TechyOwls, my own AI SaaS studio — because I prefer shipping over advising. SnapForge — screenshot and agentic data extraction API. LangGraph-based. Live with paying customers. Isolate — AI image processing platform. Background removal, upscaling, virtual try-on, local vision LLMs. LLM Bridge — WireGuard-tunneled inference between VPS and home GPU. Enterprise-grade inference without cloud lock-in. Stack: LangGraph, LangChain, MCP, ReAct, BDI multi-agent, ChromaDB, pgvector, self-hosted Ollama, Llama 3.x Vision, Claude, OpenAI. Java, Spring Boot, Python, FastAPI, TypeScript. Docker, Kubernetes, Ansible, Prometheus, Grafana. Oracle, PostgreSQL, Redis, Kafka. WHAT YOU GET When you bring me in, you get someone who has already made the architecture decisions you're about to make — at Fortune 500 scale, under real compliance pressure, in production environments where failure costs money. I embed as technical lead alongside your existing team or execute independently — both at the same standard. System design, agent orchestration, RAG pipeline, security review, stakeholder communication. You focus on the product. I keep the AI from becoming a liability. WHERE I ADD THE MOST LEVERAGE Teams past the prototype stage that need production-grade AI — systems that survive security review, scale to real users, and run in regulated or air-gapped environments. Enterprise codebases where AI needs to integrate with existing Java/microservices infrastructure, not replace it. Currently accepting a limited number of long-term engagements. Fixed-scope architecture audits also available.

I'm B.A. Lal Kumarasiri, a Chartered Accountant (ICASL) with 15+ years of finance leadership — and I build automated accounting workflows that connect your live financial data in Quick Book|Xero|Zoho to AI tools like Claude and ChatGPT, so you get real-time answers about your business instead of waiting for month-end reports. How this works for you: Most business owners don't need another bookkeeper who disappears until the 15th of next month. You need to be able to ask "what's my cash position right now" or "which customers are past due" and get an answer today. I set up a personalized connection between your accounting software (Xero or QuickBooks Online) and AI tools — so financial data, reports, and analysis are available on demand, not locked in a spreadsheet only I can read. What that looks like in practice: 01 Connected Accounting Data — Your Xero/QBO books linked directly to AI tools via API/MCP connections, so financial questions get real answers from your real numbers, not guesses 02AI-Assisted Reporting & Analysis — Automated cash flow summaries, variance flags, and KPI dashboards generated on a schedule, reviewed and signed off by me as a licensed Chartered Accountant — never a black box 03. Full Business Visibility — As your accountant, I don't just close your books — I give you a standing window into the business: cash position, AR/AP aging, margin trends, and anomalies, available whenever you need it 04.Full-Cycle Finance Operations — Month-end close, reconciliations, chart of accounts, AP/AR — the fundamentals still done properly, just faster because AI handles the repetitive matching and I focus on review and judgment 05.CFO-Level Interpretation — Numbers mean nothing without context. I explain what the data means for your next decision — pricing, hiring, cash runway, financing — the same way an in-house CFO would Credentials: Chartered Accountant (ACA, ICASL) | Member AAT Sri Lanka | Registered Auditor | Registered Company Secretary | Registered Tax Agent — Inland Revenue Department, Sri Lanka I'm available for long-term engagements (40+ hrs/week), working directly with owners who want an accountant who's actually built the automation — not one who read about it. If you're tired of asking your bookkeeper a question and waiting three days for an answer, let's talk about what a connected finance function looks like for your business. Let’s Take Your Business to the Next Level! Fractional CFO AI Automation Xero QuickBooks Online Financial Reporting AI Data Analytics Data Annotation Business Valuation Cash Flow Forecasting Month-End Close Financial Modeling Internal Controls Financial Consulting API Integration Workflow Automation Chart of Accounts Tax Compliance Financial Analysis & Valuation Data Automation Fintech Consulting Reach out today for a FREE CONSULTATION and let’s discuss how we can improve your financial systems and save you time and money! Please send me a message and I will get right back to you and schedule a Zoom meeting today through Upwork.

Are manual bid tweaks, endless Merchant Center errors, and repetitive campaign tasks eating up 15+ hours of your week? I bridge the gap between High-Performance Marketing and Custom AI Software Engineering. As an AI Marketing Engineer, I don't just run ad campaigns—I build intelligent automation pipelines and custom software scripts that handle 80% of repetitive management, optimize Google Ads & Merchant Center feed quality in real time, and scale your ROAS with algorithmic precision. ⚡ WHAT I DO BEST: 1. Google Ads & Merchant Center (GMC) Optimization • Full Performance Max (PMax), Search, Shopping & Demand Gen campaign structuring. • GMC Feed Optimization: Auto-fixing disapproved items, GTIN/brand mapping, custom labels, and dynamic pricing rules. • Negative keyword sculpting, high-intent audience segmenting, and conversion tracking audits (GA4 / GTM Server-Side). 2. Marketing Automation & Custom Software Engineering • Google Ads Scripts & API Tools: Custom JavaScript/Python scripts for automated anomaly detection, budget pacing, zero-impression alerts, and search terms cleanup. • AI & Automation Workflows (n8n / Make / OpenAI / Claude APIs): Automated ad copy generation, localized creative variations, and competitor tracking pipelines. • Automated Reporting & Dashboards: Instant real-time performance alerts to Slack/Telegram and dynamic Looker Studio dashboards. 📈 RECENT IMPACT & METRICS: • Reduced manual management time by 75% for an E-commerce brand through automated GMC feed enrichment and Google Ads script rules. • Lowered CPA by 28% while scaling monthly ad spend 2.5x using custom automated bid/budget allocation engines. • Resolved 100+ suspended/rejected GMC products using automated XML/JSON feed transformations. 🛠️ TECH & TOOL STACK: • Ads Platforms: Google Ads (Search, PMax, Shopping, Display), Google Merchant Center, Meta Ads. • Code & Automation: Python, JavaScript (Google Ads Scripts), n8n, Make (Integromat), REST APIs, Webhooks. • AI Integrations: OpenAI API (GPT-4o), Claude API, LangChain / LlamaIndex, Custom AI Agents. • Tracking & Analytics: Google Tag Manager (Server-Side & Web), GA4, BigQuery, Looker Studio. Whether you're an E-commerce brand scaling to 7-figures or an agency needing an engineering-grade automation infrastructure, let's talk. 👉 Click "Invite to Job" or "Message" to schedule an initial audit & discovery chat!