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I’m a Software Engineer specializing in Vue.js and Nuxt.js, with 8+ years of experience building, modernizing, and scaling web applications. I specialize in taking complex or legacy frontend systems and turning them into modern, maintainable products. I’ve worked extensively on large-scale migrations, e-commerce platforms, checkout flows, payment integrations, and multi-brand frontend architectures. Some of the work I’ve delivered: Migrated a large e-commerce platform from Magento to Vue.js/Nuxt.js and headless commercetools. Built Product, Cart, and Checkout experiences that contributed to a 4% increase in conversion. Designed a composable multi-brand frontend architecture that enabled new storefronts to be launched on the same platform. Integrated payment providers including Adyen. Migrated a large AngularJS 1.x application to Vue.js 2.x. Built accessible, progressively enhanced web experiences, including core functionality that works without JavaScript. Maintained Lighthouse accessibility scores above 90 on key pages. My main stack includes Vue.js, Nuxt.js, JavaScript, TypeScript, Node.js, GraphQL, REST APIs, AWS, HTML, CSS, Jest, Cypress, Git, CI/CD, and commercetools. I’m comfortable working on both new products and existing codebases. Whether you need to build a feature from scratch, modernize a legacy application, improve an e-commerce experience, or investigate a difficult frontend problem, I focus on pragmatic solutions that are maintainable and actually improve the product. I value clear communication, ownership, and getting things shipped without unnecessary complexity.

Vue.js , VueX, VueRouter, Nuxt, Vuetify SCSS / Sass / Less Webpack, Grunt HTML, HTML5 CSS, CSS3 JavaScript, jQuery, TypeScript Block * tabular * fixed * adaptive * responsive markup Neat, logical, simple, readable code Git

I help startups and businesses build fast, scalable, and maintainable web applications using Vue.js, Nuxt.js, TypeScript, and modern AI technologies. With 7+ years of commercial experience, I've successfully delivered 50+ projects ranging from SaaS platforms and enterprise dashboards to e-commerce solutions, AI-powered products, and mobile applications. I specialize in building production-ready software with clean architecture, reusable component systems, SSR optimization, API integrations, and high-performance user interfaces. What I can help you build • SaaS Platforms • Admin Dashboards • CRM & ERP Systems • AI Assistants & Chat Interfaces • OpenAI & Gemini Integrations • Mobile Applications • E-commerce Platforms • Internal Business Systems • Real-time Applications • REST & GraphQL Integrations • SEO-Optimized SSR Applications • High-Performance Frontend Architectures Core Technologies Frontend • Vue 3 (Composition API) • Nuxt 3 (SSR / SSG) • TypeScript • JavaScript (ES6+) State Management • Pinia • Vuex UI & Styling • Vuetify 3 • Tailwind CSS • SCSS • Responsive Design • Material Design Backend & APIs • REST APIs • GraphQL • Node.js • Express • PHP Database & Cloud • Supabase • Firebase Testing & Tools • Vitest • Jest • Cypress • Vite • Webpack • Docker • Git CMS • WordPress (ACF) • Strapi • OpenCart AI-Powered Development I actively integrate Artificial Intelligence into commercial products and development workflows. My experience includes: • OpenAI API integrations • Google Gemini • AI Assistants • Intelligent recommendations • AI Automation • AI-powered content generation • Chat interfaces • RSS automation • Prompt Engineering I also use Cursor AI, Claude Code, GitHub Copilot, and Codex to accelerate development while maintaining production-quality code. Recent Experience Senior Frontend Developer — AIR Media-Tech Developing large-scale Vue 3 applications using Nuxt 3, Vuetify, TypeScript, and OpenAI APIs. Designed reusable component architecture, optimized application performance, reduced bundle size by 42%, and improved page load time from 4.2s to 2.4s. Senior Frontend Developer — Vantino Led migration from Vue 2 to Nuxt 3 SSR, improving SEO by 67% and increasing organic traffic by 45%. Built scalable applications serving more than 50,000 monthly users. Frontend Engineer — Purple Ad Labs Built complex advertising platforms, integrated third-party APIs, developed backend services with Node.js, and optimized data synchronization performance. Freelance Frontend Developer Delivered 50+ successful projects across SaaS, e-commerce, marketing, and corporate sectors. Worked with startups and established businesses from idea to production. Why clients work with me ✔ Clean, scalable architecture ✔ Business-oriented development ✔ Strong communication ✔ Fast delivery without sacrificing quality ✔ Pixel-perfect responsive UI ✔ Performance optimization ✔ SEO-first mindset ✔ AI integration expertise ✔ Long-term maintainable code Whether you need a modern Vue/Nuxt application, AI integration, mobile app, or a complete SaaS platform, I focus on delivering reliable software that creates real business value.

I solve architectural challenges differently. While standard engineering often relies on stacking repetitive templates, I focus on building holistic, high-signal systems where distributed data, AI, and real-time processes mesh seamlessly. People might not always track my exact process from the outside — but the end result works, precisely and predictably. Known as letoribo in advanced developer ecosystems, I use my core framework @letoribo/mcp-graphql-enhanced to turn abstract LLM reasoning into dynamic, instantaneous action. I build the infrastructure that allows AI agents to navigate and manipulate complex spatial and relational data under strict low-latency constraints. Core Focus: GraphQL & MCP Infrastructure: Scaling agentic workflows and providing language models with surgical, real-time access to distributed environments. Real-Time Systems Integration: Designing custom mutation interceptors and synchronized data-shuttles that bridge web-synapses with complex external simulations. Advanced Spatial Visualization: Building hardware-accelerated 3D interfaces to make intricate data structures tangible. If you are looking for a standard developer to close standard tickets, there are plenty of options. But if you need an architect to build something that breaks the mold — let’s connect.

AI can write code fast. The expensive part is keeping requirements, architecture, code, and multiple contributors aligned as the product changes. I build production AI systems and project-specific context infrastructure that solves this coordination problem. For each project, I create a governed context layer from product requirements, technical documentation, architecture decisions, domain rules, schemas, APIs, codebase structure, tests, and deployment constraints. A project-specific knowledge graph with GraphRAG or hybrid retrieval surfaces the relationships relevant to a particular change. An MCP server can then make approved project knowledge available to Codex, Kiro, Claude Code, or custom engineering agents. When a stakeholder submits a feature request, this workflow can produce a grounded, traceable draft containing: • clarified requirements and acceptance criteria • affected services, data models, APIs, and dependencies • potential conflicts with existing architectural decisions • implementation options and tradeoffs • test, migration, rollout, and observability requirements • references to the source material used I call this Graph-Grounded Specification-Driven Development (GG-SDD): a context-engineered, AI-native SDLC with human approval at every material decision. The engineer still owns the decision. The system compresses context gathering and first-draft planning; it does not replace architecture review or pretend that an LLM is always right. This approach combines context engineering, specification-driven development, requirements traceability, knowledge-graph grounding, and human-in-the-loop delivery. It is designed to reduce context loss, architectural drift, contradictory specifications, duplicated decisions, and rework across developers and AI agents. I can help with: • Project Context Engines and MCP servers • GraphRAG and knowledge graph architecture • Agentic workflows and production AI applications • Feature request → impact analysis → specification pipelines • Brownfield documentation and architecture recovery • AI-generated MVP production hardening • Multi-developer and multi-agent delivery workflows • Evals, guardrails, observability, recovery paths, security, and cost control My primary stack is TypeScript, Node.js, Next.js, Supabase, and Vercel. I also work with AWS and other infrastructure when they are the better architectural fit. I bring 15+ years of software engineering, architecture, technical leadership, and hands-on product delivery. Recent work includes OUTRANKgeo, a production platform built around 11 specialized agents. Upwork track record: $5K+ earned, 153 hours, and a 5-star long-term contract. This is a strong fit if: • your AI prototype works but is fragile in production • AI-generated changes contradict existing architecture • specifications become inconsistent as the product evolves • multiple developers or agents keep losing important decisions • you need a repeatable path from stakeholder request to reviewed implementation Send me one feature request, your current architecture, and the failure mode you are seeing. I can begin with a focused context and architecture audit.

I help businesses build custom AI agents and AI-powered SaaS that actually ship: trained on your data, built to scale, and designed to deliver real results. Not templated bots, but tailored systems built around how your business works. I'm a senior full-stack engineer (8+ years, Top 3% on Upwork) specializing in AI agents, AI SaaS, and modern web apps with Vue, Nuxt, Svelte and Node. My mission is simple: over-deliver. I like giving clients more than they expect. ⭐ "The level of detail included in planning every sprint ensured we stayed within budget and ended up with a final product that was better than I had even hoped for." What I build: 🤖 Custom AI agents & chatbots trained on your product, not generic ChatGPT wrappers ⚙️ AI-powered SaaS platforms from MVP to enterprise scale 🌐 Modern web applications: high performance, scalable, production-ready A few recent projects: Custom AI agents: ✅ AI Sommelier - an AI assistant for wine shops that guides customers to the right bottle by taste, occasion & food pairing, trained on each brand's own catalog. ✅ AI Barista - an AI assistant for coffee brands recommending the perfect coffee by taste & brewing method, boosting online conversion. AI & Machine Learning: ✅ TeqAtlas - NLP model (Transformers) classifying startups into investment categories, 96%+ accuracy, in production. ✅ The Antifaker - AI system detecting propaganda & misinformation across news sources. ✅ tumchi - supervised & unsupervised ML combining biomarkers, gut microbiome & taste data into personalised nutrition (Cambridge startup). ✅ National Security Initiative - fine-tuned NLP & computer vision for automated document processing (government project). ✅ Passport recognition - computer vision extracting passport details, 97%+ accuracy, in production. ✅ License plate recognition - fine-tuned CV model for real-world vehicle logging across variable conditions. Web & SaaS: ✅ lightmapp - social platform for influencers, with custom analytics & user management. ✅ canary.consulting - landing site + application, built end-to-end (in beta). ✅ blayze - coaching platform; complex updates & fixes at speed. How I work: Clear sprint planning, transparent communication, and a focus on shipping - so you stay in budget and know exactly what's happening at every step. My core stack: AI/ML: OpenAI, Claude (Anthropic), Llama, Gemini; LangChain, LlamaIndex; RAG & vector search (FAISS, Elasticsearch); Hugging Face, PyTorch, TensorFlow Front-end: Vue 3, Nuxt 3, Svelte/SvelteKit, TypeScript, Tailwind Back-end: Node.js, Nest, Express, PostgreSQL, MongoDB, Redis, Neo4j DevOps & MLOps: Docker, Kubernetes, GitLab CI/CD, MLflow, Terraform, Prometheus/Grafana If you're looking for someone who treats your project like their own and delivers more than promised - let's talk. Happy to discuss your idea and show how I'd approach it.