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I am a seasoned Data Engineer with over 10 years of experience in designing and building scalable data solutions. I specialize in developing robust data pipelines across cloud platforms (AWS, GCP, Azure) and on-premise environments. Services Offered: ✅ Database Migration – Expertise in migrating databases such as BigQuery, Redshift, PostgreSQL, MySQL, and more. ✅ Data Warehouse Architecture – Designing efficient and scalable data warehouses tailored to business needs. ✅ ETL/ELT Development – Building ETL/ELT pipelines using Python Airbyte, DBT. ✅ Data Pipeline Architecture & Deployment – Implementing and automating workflows with Apache Airflow and Kubernetes. ✅ Application Containerization – Deploying and managing applications using Docker and Kubernetes. ✅ Data Visualization & Reporting – Creating interactive dashboards and reports with Looker Studio to drive business insights. Let’s discuss how I can help optimize your data infrastructure and unlock valuable insights for your business. Feel free to reach out!

Every growing product eventually faces the same challenges like scalability, performance, infrastructure, and deployment. I help businesses solve those problems by building modern full-stack applications and production-ready cloud infrastructure. Instead of only writing code, I focus on creating systems that are maintainable, scalable, and easy to deploy. Hello, my name is Muhabbat, a full-stack developer with 5 years of experience specializing in high-performance web applications using React and Node. I provide end-to-end technical ownership, from architecting scalable backends with Nest.js and deployment to cloud environments like AWS. I have a strong passion for DevOps, where I love to work on deployments, infrastructure, and CI/CD pipelines. 𝑰𝒇 𝒚𝒐𝒖 𝒂𝒓𝒆 𝒍𝒐𝒐𝒌𝒊𝒏𝒈 𝒇𝒐𝒓: Full Stack Developer who understands the full lifecycle of a product. Scaling a platform that requires AWS expertise and DevOps best practices. Building a modern web app with React and Nest.js. Coding Annotator, AI Engineer, or Vibe coder to accelerate product development. 𝑨𝒓𝒆𝒂𝒔 𝒐𝒇 𝑬𝒙𝒑𝒆𝒓𝒕𝒊𝒔𝒆: 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫: Expert in JavaScript and TypeScript, focusing on React.js and Nest.js for enterprise-grade applications. 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬: Experienced with AWS, Terraform, and Kubernetes to ensure high availability and security. 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Strong secondary expertise in Java and Python for specialized backend services or data-driven projects. Technical Skills: 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: HTML, CSS, React js, Next.js, TypeScript, Tailwind CSS. 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: Node.js, Nest.js, Java, Python, PostgreSQL, MongoDB. Applications: Docker, Kubernetes, Terraform, Ansible, CI/CD, AWS, Azure. 𝐎𝐭𝐡𝐞𝐫: Git, GitHub Actions, Linux, N8N, Elastic Stack 𝐒𝐞𝐧𝐝 𝐚 𝐦𝐞𝐬𝐬𝐚𝐠𝐞. I will provide a technical assessment to help you determine the best architecture and roadmap for your project.

Hello, I'm Roni, a 21 years old physics student and a passionate junior full-stack developer with nearly two years of experience creating end-to-end software solutions. Combining a background in physics with technical expertise, I bring a rigorous and analytical approach to problem-solving. My skills cover the backend (Node.js, FastAPI, Django, Flask), frontend (HTML, React.js, Vue.js, Three.js), and machine learning (PyTorch). I have successfully developed and deployed computer vision models on different cloud infrastructures (Azure Kubernetes, Paperspace). I am driven by creating clean, high-performance, and reliable code to turn ambitious challenges into innovative products. I'm looking forward to contribute and improve your projects!

I help companies build reliable AI-powered automation systems, browser automation platforms, and scalable SaaS infrastructure. Over the past 10+ years, I have designed and developed production systems involving: - AI agents & LLM integrations - Browser automation (Playwright/Puppeteer/Selenium) - Web scraping & anti-bot systems - SaaS platforms - FastAPI & Python backend systems - AWS serverless infrastructure - Workflow automation - CRM & API integrations - Data pipelines and large-scale processing I specialize in solving difficult engineering problems where stability, scalability, and reliability matter. My experience includes: - Large-scale browser automation systems - AI-powered SaaS platforms - High-volume web scraping infrastructure - Workflow and CRM automation - Cloud-native AWS architectures - Real-time automation systems - Dockerized production environments - API orchestration and integrations - RAG and LLM-powered applications Technical stack: Python, FastAPI, Playwright, Selenium, AWS Lambda, DynamoDB, Docker, Kubernetes, PostgreSQL, MongoDB, Redis, OpenAI APIs, LangChain, Serverless Framework, React, Node.js I am particularly effective on projects involving: - unstable automation systems - scraping infrastructure - AI integrations - browser reliability engineering - SaaS architecture - scaling and optimization - workflow automation - production debugging I approach projects as long-term engineering partnerships and focus on delivering systems that are maintainable, scalable, and robust in production.

I am a dynamic and resourceful freelancer, ready to bring my skills in DevOps and web development to your projects. Despite being new to the freelancing world, I come equipped with a solid foundation in DevOps practices, CI/CD pipelines, containerization (Docker and Kubernetes), and infrastructure as code. I ama Certified Kubernetes Administrator and Certified Terraform Associate .Additionally, I possess expertise in web development technologies such as HTML, CSS, and JavaScript. As a self-motivated individual, I am excited to collaborate on diverse assignments, delivering efficient solutions and ensuring seamless web application development. With a commitment to excellence and a passion for staying updated on industry trends, I am eager to contribute my skills to your project and make a positive impact. Let's embark on this freelancing journey together!

Hello! I’m a CTO, Senior .NET Core Developer, AI Developer, and AI Agent Developer with 20+ years of experience in enterprise software engineering, cloud architecture, SaaS development, distributed systems, and AI Development. I have delivered 150+ AI projects, launched my own production AI products, and created the ManagedCode Coding AI Framework (MCAF) — a structured framework for applying AI across the software development lifecycle while preserving engineering quality, governance, security, and predictable delivery. My work combines advanced AI Development with deep expertise in C#, .NET Core, Microsoft Azure, Orleans, enterprise architecture, and operational automation. What I Build • AI agents and multi-agent systems • AI chatbots, copilots, and intelligent assistants • OpenAI- and Claude-powered applications • RAG and enterprise knowledge systems • AI SaaS products and internal platforms • Workflow and business process automation • Scalable .NET APIs and distributed cloud systems • AI integration for existing and legacy software I work as an AI Developer, AI Software Developer, AI Chatbot Developer, AI App Developer, OpenAI Developer, Claude Developer, and AI Agent Developer. AI Agent Architecture I specialize in the systems layer that transforms an LLM into a reliable production-grade agent. My expertise includes: • Agent harness architecture • Execution, reasoning, and control loops • Multi-agent orchestration • Tool calling and task delegation • Context, memory, and state management • Guardrails, governance, and access control • Human-in-the-loop approval workflows • Validation, retries, fallbacks, and recovery • Agent evaluation, tracing, and observability An effective AI agent is not simply a model connected to an interface. It requires a complete operational architecture around the model: tools, permissions, memory, business rules, execution control, monitoring, and failure handling. Managed Code Coding AI Framework I created the Managed Code Coding AI Framework (MCAF) to help engineering teams adopt AI in a controlled, measurable, and scalable way. MCAF provides a structured approach to: • Integrate AI into software delivery workflows • Improve developer productivity without reducing code quality • Introduce governance and validation into AI-assisted development • Standardize how teams use AI across analysis, coding, testing, and documentation • Reduce delivery time and repetitive engineering work • Preserve security, maintainability, and architectural consistency The framework is designed for organizations that need more than isolated AI tools. It helps transform AI usage into a repeatable engineering capability. Business Value My objective is not to add AI for its own sake. I design systems that create measurable operational and financial value. Depending on the process, my solutions can: • Reduce manual workflow steps by 40–80% • Convert hours of repetitive work into minutes • Reduce AI and token costs by 30–70% • Improve system reliability through validation and fallback logic • Accelerate product delivery and internal decision-making • Increase process consistency and reduce human error • Extend existing teams without proportional headcount growth I focus on the full cost of ownership, not only initial development. This includes model usage, infrastructure, maintenance, observability, security, and long-term scalability. AI Cost Optimization I optimize AI systems through: • Model routing • Semantic and response caching • Prompt and context optimization • Selective retrieval • Context compression • Token budgeting • Structured outputs • Small-model and large-model escalation • Usage monitoring and cost controls This allows companies to maintain response quality while reducing unnecessary token usage, latency, and infrastructure expenses. Core Technologies C#, .NET Core, ASP.NET Core, Microsoft Azure, Azure OpenAI, OpenAI API, Claude API, Orleans, Aspire, RAG, vector and hybrid search, REST APIs, microservices, Docker, Kubernetes, DevOps, CI/CD, and Microsoft Agent Framework (MAF) I can take a project from discovery and architecture to implementation, deployment, optimization, and long-term support—whether the goal is to build a new AI product, modernize an enterprise platform, introduce AI-assisted development, or automate complex business operations.