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Three things I do best: voice agents that sound human, multi-agent orchestration that actually ships, and RAG systems that hold up in production. Voice agents. People on the other end of the call don't realize they're talking to an AI. That takes a lot of small things working together: VAD endpointing so the agent starts responding before the caller finishes, barge-in so it stops when interrupted, filler words and breathing pauses between sentences, dynamic speaking rate that slows down for complex info, sentiment-driven tone shifts, voice cloning. Sub-300ms latency. Self-hosted models alongside cloud providers. SIP telephony for outbound calls, plus inbound with intent routing and human handoff. Agent orchestration. Built a system with five specialist agents (voice, browser, RAG, MCP tools, scheduler) that coordinate through dependency DAGs and run in parallel. The agents work through real tools: browser automation via Chrome DevTools Protocol, MCP servers managing Google Calendar, Gmail, GitHub, PostgreSQL, Slack. Per-room credential isolation. Human-in-the-loop approval gates for sensitive operations like calls and emails. AI that takes real actions, not just answers questions. Production RAG. I've shipped: Legal RAG (FlawFinder.ai) indexing US police departments, zero-hallucination citations, paying subscribers Scientific document RAG with hybrid search, multi-language support, figure extraction via vision models GraphRAG with 40% better retrieval vs vector search alone I also help teams whose RAG works in demos but struggles with real data. Usually it's chunking strategy, missing evaluation, or grounding gaps. I audit the pipeline and rebuild the parts that need it. Beyond the AI layer, I build the infrastructure that keeps systems running when real users show up: Kubernetes, CI/CD, monitoring, evaluation harnesses. Most recently Infrastructure Lead at an AI startup where I built the full platform from scratch. Day to day: Python (FastAPI, Django), LangChain/LangGraph, PostgreSQL, pgvector, Redis, Kubernetes, Docker, Terraform, AWS. Frontend when needed (React/TypeScript). 15+ years in software, last 3 on LLM applications. Based in Madrid (GMT+2), flexible for EST overlap. Available now, async-first, same-day responses.

🚀 I Build Production-Ready AI & Full-Stack Applications That Drive Business Growth Most AI projects fail because they stop at prototypes. I build AI solutions that are secure, scalable, and ready for production—helping businesses automate operations, improve customer experiences, and generate measurable ROI. I’m a Top Rated Plus AI & Full-Stack Engineer with 8+ years of commercial software engineering experience, specializing in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and modern cloud-native application development. Whether you’re building an AI startup, modernizing enterprise software, or integrating AI into an existing platform, I can take your project from architecture and development to deployment and long-term scalability. What I Deliver 🤖 AI Agents & Agentic Systems * Multi-agent systems using LangGraph and CrewAI * AI assistants powered by OpenAI, Anthropic, and Azure OpenAI * Autonomous workflow automation * AI tool integrations and MCP servers 🧠 Enterprise RAG & Knowledge Systems * Intelligent document search * Enterprise knowledge assistants * Vector databases (Pinecone, pgvector, Chroma, FAISS) * Advanced retrieval strategies that improve accuracy and reduce hallucinations 💻 Full-Stack Development * Python (FastAPI, Django, Flask) * React, Next.js, TypeScript * REST & GraphQL APIs * PostgreSQL, MongoDB, Redis * Secure, scalable SaaS applications ⚡ AI Automation * n8n * Make * CRM, ERP, and third-party integrations * Business workflow automation * API development and integrations ☁ Cloud & DevOps * Microsoft Azure * AWS * Google Cloud * Docker * Kubernetes * Terraform * CI/CD pipelines Why Clients Work With Me ✔ Top Rated Plus Freelancer ✔ 100% Job Success Score ✔ 2,200+ hours successfully delivered on Upwork ✔ Production-ready AI solutions—not just proofs of concept ✔ Clean architecture, scalable systems, and maintainable code Selected Project Outcomes * Increased online sales by 250% through scalable backend architecture and platform optimization. * Built enterprise RAG platforms that significantly improved answer quality while reducing AI hallucinations. * Developed NHS-grade AI applications using Azure OpenAI under strict healthcare compliance requirements. * Delivered enterprise AI automation integrating OpenAI, Anthropic, Salesforce, HubSpot, Zendesk, and custom APIs. * Built secure AI-powered SaaS platforms serving thousands of users with high availability and scalable cloud infrastructure. Industries Healthcare • SaaS • FinTech • E-commerce • Education • LegalTech • Enterprise Software Technologies AI & LLMs: OpenAI, Azure OpenAI, Anthropic, LangGraph, LangChain, CrewAI, MCP Backend: Python, FastAPI, Django, Flask Frontend: React, Next.js, TypeScript, JavaScript Databases: PostgreSQL, MongoDB, Redis, Pinecone, pgvector, Chroma, FAISS Cloud & DevOps: Azure, AWS, Google Cloud, Docker, Kubernetes, Terraform, GitHub Actions If you’re looking for an engineer who combines AI expertise with strong full-stack engineering to build reliable, production-ready software that delivers real business value, I’d be happy to discuss your project.

Expert level Python skills. Areas of expertise: - run Stable Diffusion and other models in the cloud or GPU servers - Machine Learning, AI, MLOps, model training, finetuning, dreambooth - Web dev: with Django, Celery, Node.js, React, Bootstrap - puppeteer, Google Chrome automation - Data crawling, scraping, data parsing and extraction (including WHOIS records), data mining - PostgreSQL (work with huge databases with replication and table partitioning) - Google Cloud, AWS, PayPal, Braintree, Stripe integration, OpenStreetMap - Frontend: Javascript, jQuery, CSS, React, Less, Sass, Bootstrap Last couple of years I worked as a senior developer in a technological company doing uptime and performance monitoring. PostgreSQL guru. Can optimize queries to get the maximum performance out of any hardware. I developed postgres database to store billions of performance data points optimized for real-time queries. Strong frontend skills. I can handle any modern JS framework. Mostly work with React, Bootstrap, and Node.js. Can create frontend development pipelines using Webpack and Grunt. Docker expert. My local development is built on top of docker automation. Each project is developed with its containers. Expert cloud services user. I can deploy and manage projects to mostly any cloud infrastructure. Mostly use AWS, Google Cloud and smaller players like DigitalOcean and Linode. Developed many deploy automation tools with Python using cloud services API. I use Ansible and write Ansible roles or cloudinit scripts for many of my projects. My second language is Go. When I need to implement a service where performance is critical or concurrency is needed I prefer to write it in golang. I can read and understand any language and have worked with many different languages in the past: PHP, C, C++, Java, Delphi and so on. I'm an Emacs and Linux (Kubuntu flavor) fan.

4 years of experience as a Python Developer. Main stack: -FastAPI, Flask, Django -Postgres (or any other relational databases) + SQLAlchemy ORM -REST API -GraphQL (Strawberry) - LLM (Langchain) - Web scraping JS, React, HTML + CSS Docker GCP Celery, RabbitMQ Prefer backend ^^ Always working on myself. Always studying.

I have 12 years of overall experience developing APIs and web applications, and for the last 4+ years, I've been working with Python and Django. I have mostly worked on significant projects with complex business logic, including software for banks and insurance companies, a Project Portfolio Management (PPM) system for managing resources across a wide range of industries, social media platforms, and healthcare applications. Also, I have extensive experience in the revitalization of messy legacy systems. I have worked as a team lead on several projects and authored a series of tutorials on initiating automated tests for existing Django projects with a challenging codebase. These tutorials cover the topics of refactoring and incrementally improving legacy systems. I have a strong understanding of the following approaches and techniques: • OOP • Design Patterns • SOLID principles • REST API • Test-driven development (TDD) • Clean code and clean architecture I also have experience with: • Integration with Office Online (WOPI protocol) • Integration with METRC California • Integration with LoanPro • Event-driven systems built on microservices architecture • Incremental improvement of complex legacy systems • Frontend frameworks such as Angular, Vue.js, and jQuery • Managing small teams up to 6-10 developers I want to build long-term relationships with clients, so I do my best to deliver work fast and efficiently. I look forward to hearing from you.

I am Aleksandra, leading a team of experienced full-stack developers specializing in AI-driven applications. We design and develop modern, scalable web and mobile solutions that integrate artificial intelligence, automation, and cloud technologies to optimize business operations. With over 20+ years of collective experience, we have worked with startups and enterprises across industries like FinTech, Healthcare, eCommerce, and SaaS. Our expertise spans the entire development cycle, from initial concept and UI/UX design to backend architecture, AI integration, SRE (Site Reliability Engineering), and cloud deployment. 🏆 194+ successful projects completed on Upwork with global clients 💲 $5M+ earned on Upwork through high-impact full-stack and AI solutions ⏱ 55,121+ hours billed, proving long-term client trust and engagement 💼 600+ total projects delivered since 2000 across AI, web, and mobile 📚 100% of developers hold engineering degrees, ensuring expert-level technical depth 👩‍💻 Advanced AI team includes Kaggle competition masters and top ML researchers 📊 91%+ job success rate, reflecting top-tier performance and consistency 🚀 25+ AI-driven apps deployed in FinTech, EdTech, and HealthTech 🧠 30+ machine learning models built and optimized for live environments 🌎 20+ industries served, from startups to Fortune 500 clients 🧱 Founded in 2000, bringing 24+ years of experience in software innovation 🛠 40+ React + Python full-stack solutions developed for scalable applications ⚡ High-load systems deployed to serve thousands of concurrent users 📈 Client ROI increased by up to 70% in AI automation projects 💬 Featured in Forbes, MBN Magazine, and Helsinki Times for client success stories Expertise: Full-stack development for web and mobile applications AI-powered solutions, including computer vision, natural language processing, and predictive analytics Scalable cloud architecture using AWS, Google Cloud, and Azure Real-time data processing and AI-driven automation Platform Engineering and Infrastructure as Code (IaC) GitOps workflows and CI/CD pipeline optimization API development and third-party service integrations Performance optimisation for high-traffic applications FinOps and cloud cost optimisation Secure and accessible web applications with SEO best practices Technology Stack: Frontend: React.js, Next.js, Vue.js, TypeScript Backend: Node.js, Python (FastAPI, Django, Flask), Golang AI & Machine Learning: TensorFlow, PyTorch, OpenAI API, Hugging Face, LLMOps Databases: PostgreSQL, MongoDB, Redis, Firebase Cloud & DevOps: AWS (Lambda, S3, DynamoDB, EC2), Docker, Kubernetes, Terraform, Helm, ArgoCD, GitHub Actions, GitLab CI/CD, Ansible, Prometheus, Grafana, ELK Stack Tools & Platforms: Figma for UI/UX, Miro for user flow mapping, Webflow for no-code development Why Work With Us? We focus on delivering intelligent, future-proof applications that drive business growth. Our team ensures seamless collaboration, clean code, and scalable architecture that adapts to evolving needs. We are committed to clear communication, efficient execution, and long-term support. If you are looking for a team that can build and scale AI-powered applications with a strong full-stack foundation, let's discuss your project. 🔑 Keywords to find me: AI Developer | Full-Stack Developer | AI Applications | React Developer | Node.js Developer | Python Developer | AI Integration | SaaS Developer | Web App Developer | Mobile App Developer | Scalable Applications | AI-Powered Software | Computer Vision | NLP Engineer | Machine Learning Engineer | Backend Developer | Frontend Developer | Cloud Developer | Automation Engineer | Cloud Architect | GCP | AWS | Azure | TensorFlow | PyTorch | OpenAI | Hugging Face | FastAPI | Django Developer | Flask Developer | Golang Developer | MLOps | LLMOps | DevOps | SRE | Site Reliability Engineer | Platform Engineer | Kubernetes | Docker | Helm | ArgoCD | Terraform | Infrastructure as Code | IaC | GitOps | CI/CD | GitHub Actions | GitLab CI/CD | Jenkins | Ansible | Prometheus | Grafana | Datadog | ELK Stack | DevSecOps | FinOps | AIOps | Observability | Monitoring | Service Mesh | Istio | Crossplane | OpenTelemetry | HashiCorp Vault | Multi-Cloud | Serverless | Figma | Webflow | Miro | Firebase Developer | MongoDB Developer | PostgreSQL | Redis | REST API Developer | API Integration | Predictive Analytics | AI in FinTech | AI in Healthcare | AI in eCommerce | SaaS Application | Intelligent Automation | Real-Time Data Processing | Cross-Platform Developer | SEO-Friendly Development | Secure Web Applications | Scalable Web Architecture | UI/UX Focused Developer | AI SaaS Developer | AI-Powered Mobile Apps | Full-Cycle Development | AI Solutions for Business | Enterprise Software | Startup MVP Development | AI Team Lead | Cloud-Native Applications | Serverless Architecture | AI-Driven Optimization | AI Workflow Automation | Real-Time AI Solutions | AI-Enhanced UX | AI Web App | AI-Powered Dash