Hire the Best Python Consultants
in Ireland

5⭐: "𝗛𝗮𝘀 𝗮𝗰𝗵𝗶𝗲𝘃𝗲𝗱 𝗺𝗼𝗿𝗲 𝗶𝗻 𝟰 𝘄𝗲𝗲𝗸𝘀 𝘁𝗵𝗮𝗻 𝘀𝗲𝘃𝗲𝗿𝗮𝗹 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀 𝗜'𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵 𝗮𝗰𝗵𝗶𝗲𝘃𝗲𝗱 𝗶𝗻 𝗮 𝘆𝗲𝗮𝗿" Upwork client (Multi-Agent AI product for SaaS startup) 👉 Message me with one process you'd love to automate and I'll send you a personalized Loom showing exactly how I'd build the AI automation and deliver in a few weeks. Triple Anthropic certified (Claude Code in Action, Model Context Protocol Advanced, AI Fluency), with 100+ AI automations and AI agents running in production on Claude Code and n8n. If you want an AI automation engineer who has lives in Claude Code and ships n8n automation that survives production, that's my lane: AI automation wired into your real systems, multi-agent workflows that coordinate work end to end, and automations I also maintain on retainer because I know what breaks at 3am. 2.5 years in pre-sales engineering means I'm comfortable in the "we know the pain, we don't know the fix yet" stage. We figure out together whether the answer is an AI automation on n8n, an AI agent on Claude Code, or something in between. 9 years in technical sales to the manufacturing industry before that. Countless factory visits taught me to read a process the way an operator does, spot the real bottleneck, and turn it into a clean AI automation spec for a developer to build against, even when that developer is me. I work in English and German (grew up in Austria) and I'm fluent in GDPR / FADP / on-prem AI automation for clients whose data can't leave the country. Projects where I bring the most value: ✅ AI automation with n8n (100+ production builds): document processing, support ticket triage, AI lead generation, and social media marketing automation ✅ Multi-agent AI automation that coordinates 3-10 specialized Claude agents for ops, research, or customer-facing workflows (the more complex the better) ✅ AI agent development with Claude Code, the Claude Agent SDK, and MCP: multi-step reasoning, tool calling, self-monitoring loops ✅ Document-processing AI automation: OCR plus RAG for invoices, contracts, shipping labels, and conference data (Mistral OCR, Pinecone, Supabase vector) ✅ GDPR / FADP / on-prem AI automation where data can't leave the building (legal, medical, Swiss and EU clients where audit trail and data residency are non-negotiable) ✅ Self-hosted AI automation stacks on client infrastructure: Ollama, Gemma 4, local machine learning and vision models for image routing and classification ✅ Voice AI automation: receptionists and agents (LiveKit, Vapi, ElevenLabs, local Whisper.cpp) including German-language voice agents deployed on-prem ✅ AI automation rescue: fixing other builders' broken n8n workflows and automations (usually faster than starting over) ✅ Long-term AI automation retainers: monthly maintenance, iterative improvement, on-call support for production systems 🔧 Core Specializations AI Automation Engineering • AI automation with n8n (100+ production builds) • Production-grade error handling, retry logic, and self-monitoring AI automation • Advanced webhook processing and REST API integrations • Local AI automation with Ollama, including vision models for classification and routing Claude Code & AI Agents • End-to-end AI agent builder work: design, build, eval, deploy • Claude Code skills, plugins, hooks, and MCP servers for client teams • Claude Code prompt engineering and eval-driven optimization • Multi-agent orchestration with Claude Code, the Claude Agent SDK, and n8n AI Automation for Document Processing • Document AI automation with OCR + RAG: invoices, contracts, purchase orders, shipping labels (Mistral OCR, Pinecone, Supabase vector) • Intelligent document classification and data extraction piped straight into n8n automations • Claude Code agents that read, compare, and validate documents, then route exceptions to a human • On-prem document AI automation for GDPR / FADP clients whose data can't leave the building Why clients pick me over a cheaper AI developer: triple Anthropic certification, 100+ production AI automations shipped, and a sales-engineering background that means your AI automation gets built against the business problem, not just the prompt. 🔧 EXPERTISE: AI Automation | AI Automation Engineer | Business Process Automation | Workflow Automation | n8n | Claude Code | Claude Agent SDK | Claude API | MCP | AI Agent Development | Multi-Agent Systems | Prompt Engineering | Machine Learning | RAG | AI Chatbot | Voice AI | AI Consulting | AI Lead Generation | Local LLM | Ollama | GDPR-Compliant AI

I'm an experienced software engineer/consultant with over 11 years in the industry. I can help you build BI components and products. My expertise is in : - Building robust and scalable backend services and enterprise Java applications - Building geospatial maps and data visualization using Openlayers - Extensive experience with the TIBCO Jaspersoft BI product offering - Jaspersoft Studio, JasperReports Server and JETL (Talend ETL) - Building and embedding interactive reports, training customers, integrating and customizing JasperReports Server, configuring single sign-on and improving product performance. My core strengths include problem solving and analysis, attention to detail, code optimization and performance. Technologies: Server side - Java EE, Spring, Spring Security, REST, JSON, XML Client side - HTML/CSS, JavaScript, JQuery, Dojo, Node.js Development Environment - Jaspersoft Studio, Eclipse, IntelliJ Middleware - Tomcat, JBoss, Websphere Operating Systems - Ubuntu, Red Hat, MacOS Scripting - Python, Shell Database - MySQL, Oracle, DB2 Version control - Git I have worked directly with several multinationals, both onsite and remote, including IMF, Visa, Porsche, BNY Mellon, ING Bank, Autodesk, DXC, AON, Infosys and Micro Focus among many others.

I'm an AI/ML engineer and architect with over a decade in AI and over four years of applied industry experience, with an academic background in deep learning and reinforcement learning. I build systems that go from research prototype to production: LLM integration, retrieval-augmented generation, agentic and multi-agent orchestration, NLP pipelines, and applied RL. Python across the full stack. My approach to architecture and engineering starts with the outcome. Technical design follows from what you need to achieve, not the other way around. This means systems built with sensible trade-offs between capability, reliability, and maintainability, that serve your business goals and can evolve as requirements change. Recent work has ranged from designing multi-agent architectures for AI-assisted platforms to building semantic clustering pipelines that handle 50K+ records with sub-second inference. I've implemented RAG systems with domain-specific knowledge integration, delivered on-device ML pipelines optimised for Apple Silicon and CoreML, and done technical coaching for AI/ML teams and interview preparation. My PhD in deep learning and reinforcement learning gives me the research depth to tackle genuinely hard problems. Four years of applied industry work is where that translates into systems that ship, across engagements that have tracked the shift from classical deep learning through to LLM-driven agent systems. In addition to LLM integration, RAG, and multi-agent orchestration, I have experience with: • Structuring AI agents for real-time responsiveness and role-based behaviour • Designing embedding and retrieval systems for context-aware AI • Evaluation and scoring systems for quality-gated generation • Cloud deployment and infrastructure: containerised backends, serverless, GPU and CPU-based hosting • On-device and local inference: Apple Silicon, CoreML, CPU-optimised pipelines

ENTJ‑A. Strategic and entrepreneurial project, product, operations and management consultant with behavioral psychology and UX expertise, and engineering background, who partners with CEOs/Founders/Executives, and identifies the root cause and desired OKRs, and unlocks 100% clarity, and successfully delivers high-end impact with 100% guaranteed results. --- ✅ PhD-level knowledge of the Principles of Scientific Management (1911), Toyota production system, design of experiments (DoE), rapid experimentation and testing, behavioral economics and science, and quality control (QA), six sigma, scrum, lean, agile, continuous discovery, design sprint, innovation sprint, opportunity tree, public and business administration, information theory, administrative theory, process and law, product operating model, design and innovation sprint, SDLC, PDLC, RACI, Eisenhower matrix, etc. ✅ Created own state-of-the-art frameworks (i.e. Athenno Innovation Sprint) that yield the highest success rate. ✅ Top 1 SEO publications such as "JTBD analysis" and "Rapid research ops" ✅ Successfully helped clients across 3 continents: Get from 0 to 1, establish operations, dashboards, systems and tools that give clarity; Find vendors, scope technical projects and write PRDs, create ERDs, flowcharts, process maps, job maps, financial models, profit trees; And create pitch decks and proposals, launch products, get traction, secure funding and accepted into top accelerators. ✅ Experience spans SaaS, MVPs, Fintech, Enterprise, Gov, Influencers, Travel, Scientific, Marketplace, Info products and courses, AI, Data Visualization, CRM, Invoicing, Broker Platforms, etc. ✅ Tools: Claude Cowork/Code/Skills, ChatGPT, Deepseek, Qwen, Gemini, Notion, Airtable, Google Marketing Platform, HubSpot, Atlassian Confluence/Jira, GitHub, Slack, Zoom, G Suite/Drive/Spreadsheets, Trello, Asana, ClickUp, MS Visio, Miro, Milanote, Figma, Mixpanel, Looker Studio, Power BI, Python, React, SQL, Hotjar, etc. Creator of the Python data, analysis, AI and automation framework - Arkalos. ✅ With "Steve Jobs' product and design sense". I like traveling, leadership, fashion, simplicity, utility, elegance, photography, and architecture. Traveled the world and blend best experiences I liked across various cultures. --- Do YOU need to dive deep, identify hidden bottlenecks, unmet needs and new opportunities, architect robust systems, and ensure your team sails confidently toward exceptional outcomes — on time, on spec, and under budget? Let’s unlock your startup’s next breakthrough together.

A proficient Software Engineer and an Experienced IT Professional with 5 years' experience, with excellent problem-solving and communication skills. Innovative and multi-faceted technical experience. Smart enthusiastic and very passionate about technology. Academic: Computer Engineering, Software Engineering.

I ship multi-agent systems and RAG pipelines in regulated industries & compliance-heavy environments. 🎯 Recent Impact: ➔ aiAvenue (AI Recruitment Platform, Current): • Prompt optimization across 10+ microservices • Built evaluation pipelines with golden datasets • Langfuse integration for observability and tracing • RAG/semantic matching for candidate scoring ➔ Gains App (UK Fintech, 6-month contract): • Architected 7-agent LLM backend for 25,000+ users • FCA-compliant guardrails for financial advice • Open banking integration via TrueLayer • Scaled architecture for 1M+ users ➤ Client Testimonials: ⭐⭐⭐⭐⭐ "Vinay has been a valuable AI expert/consultant to our team over the past several months, and our collaboration is very much ongoing. Throughout this time, he has consistently demonstrated a strong commitment to quality, delivering work that meets our standards reliably and on schedule." - aiAvenue(US Based) ⭐⭐⭐⭐⭐ "Vinay has been fantastic for us. Detailed, driven, clear at communicating. He's built several key features and advanced guardrails to ensure outputs match for compliance." - Gains App (UK Fintech) "Vinay is a rare full-stack + LLM hybrid who consistently delivers. He designed and implemented an agentic, multi-agent architecture for our financial advice chatbot. Leveraging LangChain, LangGraph, LangSmith, he built clean pipelines, instrumented them well, and put strong input/output guardrails in place." - Adam Murphy, AWS ML Specialty Manager "Vinay is first class to work with. Incredible attention to detail and can be left to complete complex tasks without much help. Highly recommend!" - Sammie Ellard-King, Founder @ Gains App 🛠 Technical Arsenal: - LLM Orchestration: LangGraph, LangChain, LangSmith, Guardrails AI - Models: OpenAI, Claude, Gemini Flash, Grok, OpenRouter - RAG: pgvector, ChromaDB, chunking strategies, embedding pipelines, Retrieval techniques - Infrastructure: AWS (EC2, Lambda, ECR, ASG), Docker, Celery, Redis - Fullstack: Python, FastAPI, React, PostgreSQL, NodeJS 🤝 Let's Build 10 years in software. The last few spent making LLMs work reliably where mistakes cost money or licenses. Taking on select projects: - Multi-agent systems with compliance guardrails - Document automation and RAG pipelines - Fintech AI (open banking, regulatory requirements) - Fullstack AI-powered SaaS Let's talk if you need AI that generates ROI.