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Is your business invisible when customers ask ChatGPT, Perplexity, or Claude for recommendations? You're not alone — most websites are completely absent from AI search results, and they're losing customers to competitors who aren't. I help businesses get found and cited by AI engines (ChatGPT, Perplexity, Claude, Google Gemini) through Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). Here's what makes me different from most "AI SEO" freelancers: I'm a senior full-stack developer with a 100% Job Success Score. I don't just write generic advice — I actually implement the technical work that gets you cited: schema markup, structured data, the llms standard files, hreflang, and AI-readable content architecture. You get strategy AND execution from one person. WHAT I DO: - AI Visibility Audit — I test how your site appears across ChatGPT, Perplexity, Claude, and Gemini for the exact queries your customers ask, and show you which competitors are winning and why. - Technical AI Optimization — Schema structured data, the llms standard files, hreflang, FAQ schema, and content restructuring for AI extraction. The technical foundation AI engines actually read. - Cross-Language AI Visibility — A specialty: making local-language websites discoverable to foreign-language AI users. If your customers search in English, German, or French but your site is in another language, you're invisible. I fix that. - Ongoing Monitoring — Track your citation rate over time across all major AI engines, see what's working, and stay ahead of competitors. WHO I WORK WITH: Local businesses, tourism and hospitality (restaurants, hotels, clinics, tour operators), SaaS companies, and agencies who want their brand to appear in AI-generated answers — not just page-two search results. MY TECHNICAL BACKGROUND (THE PROOF): - Frontend: React, Next.js, JavaScript (ES6+), TypeScript - Backend: Node.js, Express.js, Python - CMS and Data: Strapi, WordPress, PostgreSQL, MongoDB - SEO and GEO: schema markup, structured data, technical SEO, Core Web Vitals, hreflang - Languages: Native English and Russian I value clear communication, honest expectations, and measurable results. I won't promise you guaranteed number-one rankings in ChatGPT — no honest provider can, because the AI engines control that. What I promise is correct technical implementation, transparent measurement, and continuous optimization based on real data. Want to see how visible your business is to AI right now? Send me a message and I'll run you a free AI visibility audit.

Greetings! I'm Dragan, currently working as a GenAI Feedback and Factuality Analyst, where I evaluate AI-generated responses for accuracy, clarity, and adherence to factual correctness. This role allows me to combine analytical thinking with attention to detail, contributing to the development of more reliable and user-friendly AI systems. Alongside my AI work, I bring a unique blend of professional experiences — from being a seasoned stateroom steward in the cruise industry to a former professional handball player. My background reflects adaptability, dedication, and a consistent drive to learn and grow. Acquired Skills: AI Feedback & Evaluation: Assessing and improving AI responses for factual correctness, logical consistency, and clarity. Customer Service Excellence: Proven track record of delivering top-notch service and addressing guest needs promptly and courteously. Time Management: Efficient in meeting deadlines and managing tasks in high-pressure environments. Communication Skills: Clear and effective communication with team members, supervisors, and guests to ensure a seamless workflow. Adaptability: Thrive in dynamic environments and excel at handling unexpected challenges. Problem-Solving: Skilled at resolving issues diplomatically, maintaining positive outcomes for all parties. Athletic Background: Former professional handball player, showcasing discipline, teamwork, and a competitive spirit. I’m enthusiastic about continuous learning and open to opportunities where my AI expertise, customer service experience, and teamwork abilities can bring value.

I lead AI projects from an ambiguous business request to a clear, buildable solution - and then keep the client and engineering team aligned until it ships. My focus is solution architecture, delivery leadership, and AI quality. My highest value is not simply implementing another isolated AI feature. It is making sure that the team is building the right solution, the client understands the decisions being made, risks are discovered early, and the final product is reliable enough to use in the real world. HOW I HELP: - Business-to-technology alignment I work with founders, executives, and operational teams to understand the actual business objective behind a request. I translate that objective into clear requirements, solution boundaries, priorities, acceptance criteria, and an implementation approach that engineers can realistically deliver. - Technical delivery leadership I lead AI and software projects from discovery and scoping through development, testing, client feedback, and launch. I coordinate engineers, maintain clarity around priorities and responsibilities, identify blockers, manage scope changes, and keep decisions moving. - AI and LLM quality control AI products require more than conventional functional testing. I help teams define what 'good' means for an AI system and review outputs for consistency, relevance, reliability, edge cases, misleading confidence, and business-specific failure modes. I bring quality into the process before launch - not after users or clients discover the problems. - Client and stakeholder communication I regularly lead discovery calls, technical discussions, delivery updates, and difficult project conversations in English. I explain complex technical trade-offs in practical business language, manage expectations without damaging trust, and help clients and engineering teams resolve disagreements constructively. MY TECHNICAL BACKGROUND I began my career in software, data, machine learning, and AI engineering. This background allows me to understand architecture, read and review technical work, challenge assumptions and estimates, and communicate with engineers without becoming an additional layer of non-technical management. My working context includes: • LLM and generative AI applications • AI agents, RAG, and workflow automation • OpenAI, Claude, Gemini, LangChain, and LangGraph • Python, FastAPI, APIs, SQL, and Supabase • n8n, Langflow, and business process automation • Cloud deployment and production AI workflows • AI evaluation, QA, and release readiness I AM MOST USEFUL WHEN • You have a promising AI prototype but no clear path to production • Business requirements and technical implementation are drifting apart • Your developers need stronger priorities, acceptance criteria, or quality control • You need a client-facing technical lead who can own delivery • The project is moving, but client confidence is deteriorating • AI outputs appear convincing but are inconsistent or difficult to evaluate • A founder or executive needs an independent assessment of the proposed solution WHAT YOU CAN EXPECT • Clear and direct communication • Honest assessment of feasibility and risk • Strong ownership without unnecessary micromanagement • Early identification of delivery and quality problems • Constructive communication during difficult situations • Practical decisions based on business value, not AI hype On Upwork, I have earned $200K+, completed 4,400+ hours, maintained a 99% Job Success Score, and achieved Top Rated Plus status. If your AI project needs someone who can connect business objectives, technical architecture, engineering execution, product quality, and client communication, let’s discuss the current situation and determine the right next step.

I work on backend systems where things need to work reliably in production. My focus is on: AI integrations (RAG pipelines, OpenAI, automation workflows) backend APIs (Python / FastAPI / Laravel) payment systems (Stripe, subscriptions, webhooks, transaction flows, Cards, SEPA,...) system stabilization and production issue fixing Recently, I’ve been building: RAG-based systems with hybrid retrieval (Qdrant + OpenSearch) AI automation workflows and API services payment integrations with complex billing logic and webhook handling backend architectures for scalable systems diffusion-based workflows, LoRA training, and model-serving setups for practical AI use cases I don’t approach projects as “just coding tasks.” Most problems I work on involve: broken flows unreliable integrations scaling issues unclear architecture decisions If something is not working as expected, I focus on finding the root cause and fixing it properly, not patching symptoms. Typical things I help with: fixing Stripe subscriptions, payments, and webhook issues building or stabilizing AI / RAG backends debugging production API issues designing backend architecture for new or existing systems supporting diffusion pipelines, LoRA training workflows, and related AI infrastructure Tech stack: Python, FastAPI, OpenAI, Qdrant, OpenSearch, Laravel, MySQL, Docker, AWS, Hugging Face Diffusers, Transformers.. If you need someone who can quickly understand your system and fix or build it without unnecessary complexity, feel free to reach out. *** AI Automation & RAG Engineer | OpenAI, FastAPI, Vector DB, Backend Systems *** I build production-ready backend systems for AI-powered applications. My focus is on: - RAG (retrieval-augmented generation) - OpenAI integrations - backend APIs with Python and FastAPI - vector search and hybrid retrieval with Qdrant and OpenSearch - AI automation workflows I’ve worked on systems that: - ingest and structure knowledge from multiple sources - perform hybrid retrieval using dense and keyword search - generate grounded responses with LLMs - support production-level usage, not just demos I do not build generic chatbots. I build systems where: - data is structured properly - retrieval is reliable - outputs are grounded and controlled Typical tasks include: - building RAG pipelines - developing AI backend APIs - integrating OpenAI into existing systems - improving retrieval quality and response grounding - designing AI workflows and backend architecture Tech stack: Python, FastAPI, OpenAI, Qdrant, OpenSearch, Docker If you need a real backend for your AI product, not just a prototype, I can help. *** Stripe & Payment Systems Engineer | Subscriptions, Webhooks, Laravel, APIs *** I specialize in payment systems and Stripe-based integrations. I’ve worked on: - subscriptions and billing flows - webhook handling and synchronization - failed payment recovery - transaction logic and consistency - card-related flows and backend systems Most issues I fix are not simple bugs, but problems like: - duplicate or missing webhook events - incorrect subscription states - payment flow inconsistencies - retry logic issues - reconciliation problems I approach these systems from a backend and flow perspective, not just API calls. Typical tasks I handle: - Fixing broken Stripe integrations - Debugging webhook issues - Implementing subscription systems - Stabilizing payment flows in production - Backend logic for billing systems Tech: Stripe, Laravel, APIs, MySQL, webhooks, backend systems If your payments are not behaving as expected, I can help you identify the root cause and fix it properly.