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Are your deployments slow, breaking at the worst moments, or costing more than they should? Is your team spending hours on manual releases instead of shipping features? If your CI/CD pipelines are fragile, your Azure infrastructure is growing out of control, or your DevOps processes exist only on paper, you are dealing with a problem that will not fix itself. I am a DevOps Engineer and Azure Architect with 10+ years of experience helping product teams and growing companies build cloud infrastructure that actually works. Whether it is a startup scaling fast or an enterprise team drowning in legacy pipelines, I come in, assess the real state of things, and build systems that are stable, automated, and cost-efficient. My primary expertise is Microsoft Azure and Azure DevOps, end to end. That means everything from designing multi-stage Azure DevOps pipelines and managing releases without downtime, to setting up Azure DevOps RBAC, securing environments, and integrating Azure DevOps with Kubernetes clusters running on AKS. I have built Azure DevOps workflows for teams of 5 and teams of 150, and the approach scales both ways. Every Azure DevOps implementation I deliver is built around real business goals, not just tooling checkboxes. Beyond Azure DevOps, I work across the full infrastructure stack. I design Cloud Architecture using Terraform for Infrastructure as Code, manage containerized workloads with Kubernetes and Docker, and implement Deployment Automation that removes human error from the release process. For data-heavy projects, I build pipelines with Azure Data Factory to handle ETL, orchestration, and integration between services. For teams building decentralized or blockchain-integrated solutions, I have worked with Azure Blockchain Service as part of broader Microsoft Azure infrastructure setups, combining it with the same security and governance standards applied across all environments. As an Azure Architect, I cover Cloud Computing governance, cost optimization, and FinOps practices, so your Azure bill reflects actual usage, not waste. I apply the same structured thinking to Network Security, Linux and Windows Server environments, and multi-cloud setups when needed. When projects require Amazon Web Services, I bring the same DevOps standards to AWS, including AWS DevOps pipelines, CI/CD automation, and infrastructure managed through Terraform. I also work with Google Cloud Platform for teams running workloads across multiple providers. AI Automation is a growing part of what I do. As more teams start integrating AI into their products and workflows, I help them connect those AI components to production infrastructure properly, with reliable pipelines, automated testing, and deployment flows that treat AI workloads the same way as any other service. I also collaborate closely with full stack developer teams to improve release processes, deployment reliability, and infrastructure scalability, making sure the gap between development and operations is as small as possible. What clients usually need help with: ✔ Stabilizing Azure DevOps pipelines and deployment workflows ✔ Building scalable Kubernetes infrastructure ✔ Migrating legacy infrastructure to Microsoft Azure ✔ Reducing cloud costs and improving DevOps efficiency ✔ Designing secure Cloud Architecture for growing products ✔ Automating deployments with Terraform and CI/CD ✔ Improving monitoring, security, and infrastructure reliability ✔ Implementing AI Automation into existing delivery workflows The full technology range I work with includes: Azure DevOps, Microsoft Azure, Amazon Web Services, Google Cloud Platform, Kubernetes, Docker, Terraform, Ansible, CI/CD, Git, SQL, Python, Linux, Windows Server, Azure Data Factory, Azure Blockchain Service, Cloud Architecture, Deployment Automation, Network Security, and more. Certifications: ✅ 8x Microsoft Azure Certified ✅ Kubernetes Certified ✅ Terraform Certified If your infrastructure needs structure, your pipelines need reliability, or your cloud costs are climbing without clear control, send me a message here on Upwork. Describe the situation and I will come back with a clear breakdown and concrete next steps.

🎁 𝐆𝐄𝐓 𝐘𝐎𝐔𝐑 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐔𝐃𝐈𝐓 - send me a message and I'll analyze your stack, data pipelines, and AI use cases. I'm a Machine Learning Engineer & AI Python Developer with 10+ years of experience building Machine Learning systems, AI solutions, AI Agents, and production infrastructure for SaaS, fintech, manufacturing, healthcare, and enterprise companies across the US and Europe. ✅ I work with a team of 90+ engineers across Machine Learning, AI, DevOps, and Backend disciplines. Delivering end-to-end Machine Learning solutions from data pipelines and model development to deployment, monitoring, optimization, and scaling in production environments. 🎯 What I bring to your product as a Machine Learning Engineer and AI Agent Developer: ✔️ Over 10 years of commercial experience as a Machine Learning Engineer, AI Developer, Python Developer, and Data Scientist, building scalable products for startups and enterprise organizations. ✔️ As a Machine Learning Engineer, I design and build production-grade Machine Learning systems using Python, delivering measurable business outcomes. My solutions have improved operational efficiency by up to 200% and reduced infrastructure costs by as much as 55%. ✔️ As an AI Agent Developer, I build AI Agent systems using LangGraph, CrewAI, OpenAI, Claude, Gemini, Llama, and Mistral. I develop multi-agent architectures for customer support, internal automation, and enterprise workflows. ✔️ My AI Agent experience includes AI sales agent systems, AI business development automation, AI agents for Etsy marketing workflows, and AI agents supporting Pinterest marketing operations. ✔️ As an AI Developer, I deliver AI copilots, Generative AI applications, and LLM-powered platforms using GPT-4, GPT-5, Claude, and open-source models integrated directly into business processes. ✔️ As a Machine Learning Engineer and Data Scientist, I specialize in NLP, semantic search, recommendation systems, anomaly detection, Named Entity Recognition, sentiment analysis, and intelligent automation. ✔️ As a Python Developer, I build Retrieval-Augmented Generation (RAG) systems using Pinecone, Weaviate, Chroma, and enterprise knowledge bases connected to SQL, PostgreSQL, MongoDB, and CRM platforms. ✔️ As a Machine Learning Engineer specializing in Computer Vision, I develop object detection, segmentation, OCR, and Document AI systems using YOLOv8, Detectron2, OpenCV, Amazon Textract, and Google Document AI. ✔️ As an AWS DevOps Engineer and Cloud Engineer, I design highly available infrastructure using AWS, Kubernetes, Docker, Terraform, Jenkins, Kafka, Prometheus, Grafana, and NGINX. ✔️ As an Azure DevOps Engineer, I deploy Machine Learning workloads using Azure DevOps, Azure Data Factory, Terraform, and cloud-native deployment strategies for enterprise environments. ✔️ I regularly collaborate with Data Scientists, Data Analysts, Web Developers, Product Managers, and engineering teams to transform prototypes into scalable production systems used by thousands of end users. 📊 My Achievements in Numbers: 🔶 Machine Learning Engineer for Enterprise Support Platform ▪️ Reduced support workload equivalent to 3 full-time employees. ▪️ Decreased response times from hours to seconds. ▪️ Improved customer satisfaction metrics by more than 40%. ▪️ Processed millions of support interactions annually. 🔶 AI Agent Developer for Fintech Company ▪️ Built and deployed multiple AI Agent workflows in production. ▪️ Automated more than 80% of repetitive operational tasks. ▪️ Reduced manual processing time by 70%. ▪️ Increased team productivity across multiple departments. 🔶 Machine Learning Engineer for Manufacturing Company ▪️ Reduced defect escape rates to near zero using Computer Vision. ▪️ Eliminated thousands of hours of manual inspection work annually. ▪️ Improved quality control efficiency by more than 150%. 🔶 AWS DevOps Engineer for SaaS Platform ▪️ Increased deployment frequency from 1 deployment per month to 120. ▪️ Reduced deployment times by 85%. ▪️ Lowered infrastructure costs by 55%. ▪️ Improved platform reliability and scalability across cloud environments. Why should you hire me as your Machine Learning Engineer? ▪️ 10+ years of experience in Machine Learning, AI Development, Python, and Data Science. ▪️ 50+ Machine Learning and AI projects successfully delivered. ▪️ 90+ engineers available for large-scale engagements. ▪️ Experience across SaaS, fintech, healthcare, manufacturing, and enterprise industries. ▪️ Expertise in Machine Learning, AI Agents, Computer Vision, NLP, RAG, and Generative AI. ▪️ Strong background in AWS, Azure DevOps, Kubernetes, and Terraform. ▪️ Hands-on experience taking Machine Learning and AI products from concept to production. If you're looking for a Machine Learning Engineer, AI Agent Developer, AI Developer, Python Developer, or Data Scientist who can design, build, deploy, and scale production-ready AI systems.

Mobile Flutter Developer with DevOps expertise — building cross-platform iOS & Android apps and owning the full delivery pipeline: AWS, Kubernetes, Ansible, Terraform, CI/CD. 10+ years in software engineering. I deliver production-ready Flutter apps together with the infrastructure that builds, deploys, and runs them. Flutter Development: Flutter & Dart — performance optimization, clean architecture, responsive UI/UX State management — BLoC, Provider, MobX, Riverpod Animations & graphics — custom animations, CustomPainter, Rive/Lottie, shaders Maps & geolocation — Google Maps, Mapbox, real-time tracking Native integrations — platform channels, C++ libraries, real-time audio processing App Store & Google Play deployment, release management DevOps & Cloud Infrastructure: Infrastructure as Code — Terraform, Ansible; Kubernetes orchestration with Helm CI/CD — automated builds, testing, and deployments (GitHub Actions, Jenkins, GitLab CI, Fastlane, Docker), including mobile release pipelines to App Store and Google Play Monitoring & observability — Prometheus, Grafana Cloud platforms — AWS, Google Cloud (GCP), Hetzner; Linux server administration Firebase & Supabase — auth, real-time database, cloud functions, hosting Backend Development: Node.js, Python, Java, Dart backends API design — REST, GraphQL, gRPC, WebSockets Databases — PostgreSQL, MySQL, MongoDB, Redis, SQLite AI & LLM: AI/LLM integrations in production apps — OpenAI, Anthropic (Claude), Gemini APIs AI-assisted development workflow — Claude Code and OpenAI Codex Experience: multiple production apps delivered end-to-end as a solo developer — UI, backend, cloud infrastructure, and deployment automation. Comfortable owning a product fully or working inside an experienced team. I care about code quality, long-term maintainability, and delivering real value — not just completing tasks. If you need someone who understands mobile development, backend, and the infrastructure that connects them into a working product — I'd be glad to help. = = = Career Highlights = = = Oct 2024 – Present — Flutter Developer & DevOps Engineer Building production Flutter apps end-to-end with cloud infrastructure and deployment automation: AI/LLM-powered features, real-time systems, infrastructure as code. Working independently, owning products from UI to deployment. Stack: Flutter/Dart, Python, AWS & Google Cloud, Kubernetes, Terraform, Ansible, Docker, Firebase, Supabase, PostgreSQL, MySQL, Redis, MongoDB Dec 2018 – Oct 2024 — Flutter Developer Six+ years of Flutter in production since its early releases: multiple apps shipped to App Store and Google Play, real-time and data-driven architectures, solo ownership from UI to backend. Stack: Flutter/Dart, Supabase, Google Cloud, Firebase, PostgreSQL, SQLite, Linux 2015 – 2018 — Full-Stack JavaScript Developer Web applications and data visualization for production use. Stack: JavaScript (React, D3), Node.js, Python/Django, MongoDB 2010 – 2013 — Java Developer Enterprise web applications. Earned Oracle Certified Professional, Java Programmer. Stack: Java, GWT, Oracle DB 2006 – 2008 — Web Developer First commercial projects; Linux as a daily driver since then. Stack: PHP, JavaScript, MySQL, Linux = = = Technologies = = = Flutter • Dart • BLoC • Provider • Riverpod • MobX • CustomPainter • Rive • Lottie • Google Maps • Mapbox • Push Notifications • Firebase Cloud Messaging • In-App Purchases • Hive • CI/CD pipeline • GitHub Actions • Jenkins • GitLab CI • Fastlane • Docker • Kubernetes • Helm • Terraform • CloudFormation • Ansible • Prometheus • Grafana • Bash scripting • AWS • EC2 • S3 • EKS • Lambda • Google Cloud • GCP • Firebase • Supabase • Linux • Node.js • Python • Django • PostgreSQL • MySQL • MongoDB • Redis • REST API • GraphQL • gRPC • WebSockets • LLM integration • RAG • AI chatbot • OpenAI API • Anthropic API • Claude API • Gemini API • Claude Code • OpenAI Codex • Stripe • App Store • Google Play

As the CEO/CTO of Webgate Systems LTD and a seasoned Tech Lead with a rich background in software engineering, I bring over a decade of expertise in transforming ideas into scalable digital solutions. Specializing in Ruby on Rails, I've led the development and optimization of high-load SaaS platforms, AI Integrations, significantly enhancing performance efficiency and customer satisfaction. My leadership has consistently propelled project completions and revenue growth across diverse teams and projects. What I offer: Expertise in Ruby on Rails: Developed and optimized numerous large-scale applications, improving system reliability, performance, and security. Proven Leadership: Successfully scaled a team of 30+ remote professionals, enhancing project capacity and team productivity through innovative strategy and effective Agile methodologies. Comprehensive Project Management: From ideation to launch, I ensure seamless execution, incorporating TDD/BDD practices for robust and reliable software delivery. System Administration and DevOps: Proficient in Linux/UNIX administration, orchestration with Ansible, and virtualization with LXC/Docker, ensuring high availability and security. Effective Communication: Fluent in English, Polish, Russian, and Ukrainian, I value regular updates and collaborative problem-solving to meet project milestones. My technical toolkit includes: * Programming languages: Ruby/Ruby on Rails * Frontend: HTML, CSS, JavaScript/jQuery * Databases SQL/NoSQL: MySQL, PostgreSQL, Redis, Memcache, MongoDB etc * DevOps: GIT, Github, Gitlab, CI/CD pipelines, Ansible, Docker, QEMU/KVM, XEN * Project Management: Agile, Scrum, XP, Kanban, Jira, Confluence I'm passionate about driving innovation and efficiency in every project I undertake. Let's connect to discuss how I can bring your next project to fruition with the quality and dedication it deserves.

I'm a Solutions Architect and independent consultant specializing in Supabase. I help startups and engineering teams design, review, and scale production-ready applications built on Supabase. My work focuses on Supabase Architecture, Security Audits, and Performance Optimization. I help validate Row Level Security (RLS), tenant isolation, authorization, database design, scalability, and production readiness to reduce technical risk before launch. My expertise includes: * Supabase Consulting * Supabase Architecture Audits * Supabase Security & Tenant Isolation Audits * Supabase Performance Audits I also advise on modern data platforms and data engineering when organizations need a solid foundation for analytics, AI, and business intelligence.

I build agentic AI workflows and full-stack SaaS products that connect LLMs to tools, business rules, approvals, APIs, and reliable user-facing software. My work sits at the boundary between AI behavior and production engineering: agent orchestration, structured outputs, tool calling, retrieval, guardrails, evaluation, and human-in-the-loop controls—delivered through Next.js and React interfaces, Node.js and TypeScript services, Python and FastAPI backends, and cloud infrastructure. Relevant proof: • Built a public multi-agent customer-support desk with specialist routing, typed tools, local policy retrieval, human approval for refunds, guardrails, audit traces, a FastAPI interface, an optional OpenAI Agents SDK adapter, and local evaluation material. • Lead full-stack engineering across five cloud-native AI/video SaaS product areas serving 1,000+ active users and generating $20K+ in combined MRR. • Built LLM-powered product features and automated transcript-to-video workflows that save 2–3 hours of manual post-production per video. • Reduced cloud compute costs for GPU/video rendering by 90% and scaled distributed rendering to 200 jobs per day, with peaks around 500. • Contributed to React and TypeScript commerce workflows serving 5M+ monthly users. I’m a strong fit when you need: • An AI agent or multi-agent workflow designed beyond a chatbot prototype • Tools, APIs, structured outputs, retrieval, routing, approvals, and auditability • A full-stack AI SaaS MVP with a clear path from interface to backend and deployment • Evaluation, retries, fallback behavior, logging, and observability around non-deterministic LLM output • A senior engineer to stabilize or extend an existing React, Next.js, Node.js, or Python system Core stack: Next.js, React, TypeScript, Node.js, GraphQL, Python, FastAPI, OpenAI and Anthropic APIs, GCP, Azure, Docker, and Kubernetes. Send me the workflow you want to automate, the systems it must connect to, and the actions that require human approval. I’ll identify the smallest useful scope and the safest path to production.