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Innovative Machine Learning Engineer and Science Educator with a unique dual expertise in developing advanced AI/ML-solutions and translating complex scientific/technological concepts for diverse audiences. With over 20+ years professional experience, of which 8+ years in technology and engineering, I specialize in building custom AI, Machine Learning, and NLP solutions that solve real-world challenges (such as high-accuracy computer vision models (YOLO), optimizing predictive analytics (XGBoost/PyTorch), or leveraging the latest LLMs for automating workflows). In addition to that, I am also an expert in crafting highly accessible course materials about a plethora of topics from science and technology. My technical foundation is rooted in rigorous mathematics and statistics, but my work isn't just theoretical; I have developed my skills in the world’s most competitive environments, including Kaggle, where I’ve mastered the full Python data science stack. Key Competences: - Deep Learning & CV: YOLO, PyTorch, Keras, TensorFlow, XGBoost. - Advanced NLP: LLM prompt engineering (Google/Innodata), BERT, and HuggingFace. - Data Science: Regression, tabular data analysis, and complex time-series prediction. - Course and curriculum development: Science, physics, mathematics, engineering, computer science, cryptography, AI/ML. - Training delivery: Data governance and agentic AI for executives. As a long-term digital nomad, I bring a proven track record of managing complex projects independently and delivering on schedule, regardless of geography.

Extended Reality (XR) developer with more than five years of experience building XR applications and systems for academic research, healthcare training, virtual production, product visualisation, and interactive media using Unity 3D and WebXR. Experienced in combining real-time software engineering, hardware integration, and spatial design to create multi-user immersive experiences. Interdisciplinary background in software development and architecture. • Forms: Mixed Reality, Virtual Reality, Augmented Reality, Interactive Installations and Spaces • Programming Languages: C#, Javascript, Typescript, Python • Frameworks: AR Foundation, ARKit, ARCore, Three.js, A-Frame, AR.js, 8th Wall, Vuforia • Hardware: iPhone, Meta Quest, Vive Trackers, Microsoft HoloLens • Platforms: Meta, iOS, Android, Desktop • Stores: Apple App Store, Meta Horizon • 3D Modelling: Rhinoceros 3D, Grasshopper, OpenCascade • Graphic Design: User Experience / User Interface Design, Adobe Photoshop, Adobe Illustrator

I build AI workflows that replace 10+ hours of manual work per week. Security-hardened by default. Your team is wasting hours on manual work that AI can handle in seconds. I build the automations that fix that. Using n8n, AI (Claude/GPT), and custom API integrations, I create workflows that process emails, qualify leads, sync CRMs, and run chatbots without anyone touching a button. What I build: - n8n workflow automations that replace 10+ hours of manual work per week - AI chatbots trained on your business data (RAG / retrieval-augmented generation) - API integrations connecting your CRM, email, ERP, and internal tools - React dashboards and web apps with Supabase backend Unlike most automation freelancers, I come from 8 years in cybersecurity (military + OSCP-certified ethical hacker). Every workflow I build handles credentials, API keys, and sensitive data securely from day one. No leaked keys, no exposed endpoints, no shortcuts. Fast delivery. Clear communication. Systems that actually work in production. Let's talk about what's slowing your team down.

Most people who build automations have never run the operation they are fixing. I spent years as an operations manager, studying systems and automation. I taught myself to build the AI agents and automations that gave me my time back. Now I'm in it full time, so I can do the same for you. And you can stop losing hours to work a system should be doing. Recently shipped and running in production: ✅ An AI agent that turns a content library into finished short-form videos. My client types what she wants, the system picks the clips and audio, writes the script, and renders it. ✅ A staff scheduler for a 30-person, 3-department operation. Weekly scheduling went from 8 hours to 1. ✅ A stock-analysis web app: paste a ticker, a deterministic Python engine runs six dividend-quality checks, the agent explains the result. AI never does the math. ✅ A course builder that reads a folder of lesson PDFs and returns one structured JSON course file. Manual data entry became a one-step upload. Same stack builds yours: AI agents with tool use and RAG over your own data, full multi-user web apps with authentication deployed on your own servers, and automations that tie everything together end to end. Python, FastAPI and React, the major LLM APIs (Claude, OpenAI, Gemini, Kimi, open models), n8n, RAG and vector search, agent frameworks, Linux deployment. No no-code toys. Real systems that run in production. Send me one sentence about the task eating your time, and I'll tell you straight whether automation is the right call and roughly what it would take. No pitch, no commitment.

🤖 Senior AI Consultant & Conversation Designer | Conversational AI Specialist | 7+ years commercial experience | Top Rated Plus | Expert Vetted | MVPs & Production-ready AI Applications Most companies who automate their interactions end up with robotic, frustrating AI that drives users away. I help businesses build advanced AI Solutions that feel close to human, understand context, and drive real business results. With my academic background in Linguistics and AI, I design natural sounding AI Agents that imitate human speech and guide users to your target actions. I have over 7 years of experience advanced building AI Assistants and Voice Agents, offering consultations on chatbot development and conversation design, and also teaching people to build chatbots themselves, giving mentoring sessions and workshops. If your business needs an advanced AI Solution that sounds close to human, let's chat :) ==== #Chatbots #GPT4 #LLMs #Rasa #VoiceFlow #DialogFlow #Landbot #ManyChat # LangChain #OpenAI # RAG #VoiceBots #GenerativeAI #BlantAI #AirAI #Vapi #Prompt Engineering #N8N ==== ✅ What makes me different from other freelancers: ▣ Full-cycle AI chatbot development services: from a business idea to production. ▣ Business-oriented approach: I think about chatbots as a tool to solve a specific problem. I design chatbots with your business goals in mind and the problem you are trying to help your users solve. ▣ User-centric: For any software project, including developing chatbots, it's very important to always keep users in mind. I do user research before the beginning of the project and validate my assumptions as soon as possible on real users. ▣ Multidisciplinary: I am not just a full-stack developer. I have a background in Natural Language Processing and Artificial Intelligence and I understand Machine Learning and the mechanisms behind how chatbots actually work. ▣ A linguist by education: My first education is in Linguistics and I understand how language works. This helps me design conversations that sound natural and are user-friendly. ▣ I value transparent and direct communication. ▣ I value your time and I value my time and I prefer to deliver results quickly rather than doing work for the sake of work. ▣ Based on the reviews, people think I'm a nice person to work with :) ==== ✅ How I can help: ▣ Starting AI Assistant project: With the overwhelming amount of AI technologies available, it’s easy to get lost when trying to build an MVP quickly and cost-effectively to validate your idea. I offer consultations to help you polish your AI strategy and select the right tools, ensuring you build an MVP that’s aligned with your business goals. ▣ Full-cycle Advanced AI Chatbot Development: I offer full-cycle AI Chatbot Development services, from start to finish. For chatbot development I use GPT-4, Rasa, DialogFlow, ManyChat, Landbot and VoiceFlow. For backend I use Python. For frontend I use JavaScript (TypeScript). ▣ Data & conversation design: Creating AI solutions that sound natural is hard, you need to know what constitutes a good conversation in your specific domain. If you're looking to design conversations that feel authentic, I use a data-driven approach to analyse real-world conversations and design playbooks and prompts that help create human-like conversations. ▣ Audit of your existing chatbot: Is your chatbot struggling to deliver performance and you lack in-house expertise to bring it to the next level? I offer a chatbot audit to provide strategy for improvement. I audit conversation design to help rewrite dialogues to feel more natural, review technical implementation to improve AI quality, and analyse conversation logs to identify feature gaps. ▣ AI Workshops & Training sessions: AI is becoming a core part of business, so companies want to grow expertise in-house. If you are looking to train your team, I offer hands-on workshops to help teams design, develop, and optimise chatbots that drive real results. ▣ Chatbot UI: I also offer help with creating custom chatbot widgets for your website. ==== ✅ Tech Stack: ▣ LLMs, advanced RAG & finetuning, prompt engineering ▣ Chatbots: LangChain, VoiceFlow, OpenAI, DialogFlow, Rasa, ManyChat ▣ Voice: Vapi, Bland AI, Air AI, Twilio ▣ Vector Databases: LanceDB, Pinecone, weviate ▣ Generative AI: OpenAI, Antropic, Gemini, LangChain, LiteLLM ▣ Automations: Make, Zapier, n8n, CRM, Replit ▣ Deployment: Docker, AWS ▣ Integrations: web, WhatsApp, Telegram, Messenger, mobile apps ▣ Speech technology: Whisper, Deepgram, Eleven Labs ▣ Programming Languages: Python, JavaScript ==== ✅ Featured projects: ▣ Property Management AI Assistant (LiteLLM, OpenAI, FastAPI) ▣ Voice Agent for Real Estate (Vapi, ElevenLabs, OpenAI) ▣ Language Learning AI Agent (Rasa) ▣ Financial Assistant Chatbot (DialogFlow) For more see my portfolio below.

One engineer. Whole product. I build AI systems that ship — RAG pipelines, LLM agents and chatbots on OpenAI, Anthropic Claude and AWS Bedrock — plus full-stack SaaS in Next.js, Python and NestJS. From the AI strategy call to the running system in production. I'm a senior full-stack engineer with a decade of shipping behind me, and over the last few years, AI integration has become the part of the work I'm most useful at. Not as a prompt engineer or a deck-and-disappear consultant, but as the person who sits in a discovery call, understands your product and workflows, identifies where a model, an embedding store or an agent actually moves the needle, and then builds it. Same pair of hands, all the way through. That's the part most teams are missing right now. AI consultants who can't ship. Engineers who can ship but can't tell you whether the LLM is the right answer in the first place. I do both, and the value is in not splitting them apart. How engagements usually start Most projects start with a call. You tell me what you're trying to build or where you're stuck, I ask questions, and we figure out together whether AI is actually the right answer, and if so, what the smallest useful first step looks like. Sometimes that's a one-page plan and an estimate. Sometimes it's a longer paid discovery if the product is complex enough to warrant it. Either way, I'll tell you honestly when an LLM is the wrong answer. That's part of the value of talking to someone who builds these systems, not just advises on them. What I build – AI & LLM integration · OpenAI, Anthropic Claude, Vertex AI, AWS Bedrock, LangChain, LangGraph. RAG systems, chatbots, agentic workflows, prompt and eval pipelines, embeddings, vector stores. Production-grade, not demos. – Frontend · React, Next.js, Angular, TypeScript. Component-driven UIs, accessibility, performance, built to stay fast at year three. – Backend · NestJS, Express, Python (FastAPI / Django). REST and GraphQL APIs, event-driven systems, queues, background workers. – Data · PostgreSQL, MySQL, MongoDB, vector databases. Schema design, indexing, query plans, the unglamorous parts that decide whether the app holds up under real load. – Cloud & DevOps · Azure, AWS, GCP. Kubernetes, serverless, Terraform / Bicep, CI/CD on Azure DevOps and GitHub Actions. Zero-downtime deploys. – Integrations · Stripe, Firebase Auth, Azure AD B2C, messaging, analytics, wired in cleanly, failure paths covered. How I work Direct, written-first, async-friendly across timezones. Long-running, end-to-end engagements are where I do my best work. I plug in, learn the product, and keep it moving. I take on unfamiliar stacks and domains on purpose. That's usually the part I want. If you've got something ambitious, an AI feature you're not sure how to scope, a product that needs to ship with AI baked in from day one, or a vague idea you need someone to think through honestly before writing any code, let's talk.