I help startups and enterprises build scalable SaaS platforms, AI-powered applications, automation systems, and cloud-native products from idea to production. Proficient in designing high-performance backend systems, modern frontend applications, and production-ready AI solutions. Core Expertise In Full Stack Development- Python, FastAPI, Django, Flask Node.js, Express.js, NestJS React.js, Next.js, TypeScript, JavaScript REST APIs, GraphQL, Microservices In AI / ML / Generative AI- OpenAI (GPT-4o/o3/o4), Claude, Gemini, Grok, DeepSeek, Llama, Mistral AI Agents & Multi-Agent Systems Agentic AI Workflows LangChain, LangGraph, CrewAI, AutoGen RAG (Retrieval-Augmented Generation) MCP (Model Context Protocol) Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Milvus) Semantic Search Prompt Engineering AI Chatbots & AI Assistants Document Intelligence & OCR Computer Vision (YOLO, OpenCV) ML & Deep Learning (PyTorch, TensorFlow, Scikit-learn) In Cloud & DevOps- AWS, Azure, GCP Docker, Kubernetes CI/CD, GitHub Actions Terraform Linux, Nginx In Databases PostgreSQL, MySQL, MongoDB Redis, DynamoDB Firebase, SQLite Integrations- Stripe • PayPal • Twilio • Shopify • HubSpot • Salesforce • Google APIs • Microsoft APIs • Slack • QuickBooks • CRM & ERP Integrations I can help you build: ✔ AI SaaS Platforms ✔ AI Agents & Business Automation ✔ Full Stack Web Applications ✔ Custom SaaS Products ✔ Enterprise Dashboards ✔ LLM & RAG Applications ✔ Chatbots & AI Assistants ✔ REST APIs & Backend Systems ✔ Workflow Automation ✔ Cloud-Native Applications I focus on clean architecture, scalable systems, fast communication, and delivering production-ready software that grows with your business. Let's build something exceptional.

Faster Deployments | Lower Cloud Costs | Better Reliability I help engineering teams cut cloud costs, ship faster, and build reliable infrastructure on AWS — now augmented with Claude AI for faster IaC delivery, smarter FinOps analysis, and production-grade automation. Core expertise: AWS architecture, Kubernetes, Terraform, CI/CD, observability (VictoriaMetrics/Grafana), and cloud cost optimization across Fintech, Healthcare, Media, and VOD. Clients include Al Jazeera, BioIQ, Glytec, Legendary Pictures, Actabl, Sortly, and TechStyle and several startups. Certifications: AWS DevOps Engineer Pro | Solutions Architect Pro | Advanced Networking Specialty. If you want infrastructure that's built right, costs less, and runs itself — let's talk.

I help SaaS founders ship production AI features and give agencies reliable, white-label AI delivery capacity. Top Rated Plus with 100% JSS, 112+ Upwork jobs, and 2,250+ billed hours. "One of the best freelancers I've hired. Quick, high quality, fast response time." — Upwork Client (5.0 ★) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱: If you need to move an AI feature from prototype to production, I can own the product engineering around it: architecture, model integration, backend APIs, retrieval, automation, deployment, monitoring, and the software interface your users or team need. For SaaS founders - Add AI agents, copilots, chat, document intelligence, or voice workflows to an existing product - Build RAG and knowledge systems with citations, access controls, and evaluation - Integrate OpenAI, Anthropic Claude, or open-source models with streaming, fallbacks, and cost controls - Ship AI-enabled SaaS features with Python/FastAPI, Node.js/Next.js, PostgreSQL, Redis, and cloud deployment For agencies - White-label AI implementation behind your client relationship - Reliable API integrations and workflow automation - Clear technical scoping, realistic estimates, and client-ready progress updates - Ongoing delivery capacity for AI, backend, and internal-tool projects Selected delivery evidence - Built an enterprise AI platform that handled more than 1M interactions - Delivered a 943-hour automation engagement with a 5-star outcome - Built RAG and semantic-search systems for large document collections - Delivered production AI chatbots, voice workflows, Python APIs, dashboards, and cloud infrastructure Core stack Python, FastAPI, OpenAI API, Anthropic Claude, LangChain, LangGraph, RAG, Pinecone, Weaviate, Qdrant, PostgreSQL, Redis, Node.js, Next.js, React, Docker, AWS, and GCP. Send me your use case, current stack, and the outcome you need. I’ll reply with a practical architecture, key risks, and the fastest path to a production release.

With 14 years of software development experience, I specialize in Artificial Intelligence, Large Language Models (LLMs), Machine Learning (ML), and AI-powered cloud solutions. My expertise spans across LLM integration, Natural Language Processing (NLP), AI-driven automation, Recommendation Systems, OCR technologies, designing and optimizing scalable high-performance backend systems using Java (Spring Boot, Spring Batch), Python (Flask, FastAPI), and NGINX while ensuring robust cloud infrastructure on AWS. AI & Machine Learning Expertise - LLMs & NLP – OpenAI GPT, Anthropic Claude Sonnet, Google Vertex AI, Hugging Face BERT, Transformer Models - Conversational AI – Chatbots, Virtual Assistants, AI-driven customer support - Text Analytics & Search – Named Entity Recognition (NER), Text Summarization, Sentiment Analysis, Semantic Search - Recommendation Systems – AI-driven industry classification & harmonization of company codes (NAICS, SIC) - OCR & Document AI – AI-powered text extraction from handwritten notes & scanned documents using AWS Textract - Data Science & Deep Learning – Feature Engineering, Model Fine-tuning, Predictive Analytics - AI Automation & Optimization – Intelligent Process Automation (IPA), AI-based Data Processing Pipelines Programming & Tech Stack - Python – TensorFlow, PyTorch, Scikit-learn, FastAPI, OpenCV, Numpy, Pandas - Java – Spring Boot, Microservices, RESTful APIs, Apache Spark - ML Frameworks & Libraries – Transformers, LangChain - Vector Databases & Embeddings – PGVector, Pinecone - Data Engineering – Data Preprocessing, Feature Engineering, ETL Pipelines AWS Cloud & AI Services - AWS Lambda – Serverless AI automation - AWS SageMaker – AI model training, fine-tuning, and deployment - Amazon DynamoDB & RDS – High-performance NoSQL & SQL solutions - Amazon Bedrock – LLM deployment & inference at scale - Vector Search & Embeddings – Knowledge Graphs, Context-Aware AI - AWS Textract – AI-powered OCR solutions for structured & unstructured data Backend & API Development Expertise - Java & Spring Frameworks – Spring Boot, Spring Batch, Microservices, REST APIs - Python Web Frameworks – Flask, FastAPI, API Development & Optimization - NGINX – High-performance API routing, Load balancing, and Reverse Proxy setup - Scalable & Secure API Development – GraphQL, RESTful APIs, Authentication, Role-Based Access Control (RBAC) AWS Cloud & Infrastructure as Code (IaC) - AWS VPC – Secure networking, private and public subnet management - AWS Lambda – Serverless computing for high-performance applications - AWS EC2 & Elastic Load Balancing (ELB) – Scalable compute instances & optimized traffic distribution - AWS Aurora & ElastiCache – High-availability databases & caching for optimized performance - AWS EFS – Scalable storage solutions for distributed applications - AWS API Gateway & Cognito – Secure API management & user authentication - Infrastructure as Code (IaC) – Terraform, AWS CloudFormation for automated deployment & scalability Database & Big Data Expertise - Relational Databases: MySQL, PostgreSQL (including Pgvector for vector search & AI applications) - NoSQL & Search Databases: DynamoDB, OpenSearch (formerly Elasticsearch) - Big Data Processing: Hands-on experience with large-scale data processing, optimization, and querying Why Work With Me? - AI-powered automation – Automating workflows, AI-driven decision-making - LLM & NLP Expertise – From chatbots to AI-based text analysis & search engines - End-to-End AI Development – Data preprocessing, model selection, fine-tuning, and deployment - Cloud-Optimized Solutions – Scalable AI architectures using AWS and vector databases - AI-Driven Recommendation Engines – Industry-specific AI models for classification & personalization Let's collaborate to build cutting-edge AI solutions that transform businesses! Contact me today to discuss your next AI project!

𝗔𝗜 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗦𝗺𝗮𝗿𝘁, 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 I help startups, founders, and businesses turn ideas into powerful digital products — from AI-driven applications and automation systems to full-stack web platforms that scale. With strong expertise in Python, JavaScript, React, FastAPI, and modern AI technologies, I build solutions that are fast, reliable, and designed for real-world impact. 𝗪𝗵𝗮𝘁 𝗜 𝗯𝗿𝗶𝗻𝗴 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁: ❇️ AI Voice & Chatbot Development As a specialised AI developer, I build full voice pipelines: Deepgram/Whisper → GPT-4/Claude → ElevenLabs. Expert in chatbot development and conversational business logic for WhatsApp, Telegram, and Web. I work as a dedicated chatbot developer integrating systems with ManyChat, Botpress, and OpenAI API. Modern chatbot development setups to act as a 24/7 sales engine and support lead. ❇️ AI Agent Architecture & Autonomous Workflows I am an AI developer who excels in AI Agent architecture using LangGraph and CrewAI. Multi-AI Agent systems for lead generation, deal tracking, and complex CRM automation. Autonomous AI Agent workflows connected to Slack, Shopify, and enterprise backends. Every AI Agent I build is designed to scale and optimise business processes without increasing headcount. ⚙️ LLM Engineering & Advanced RAG As a senior LLM Engineer, I solve the "hallucination problem" for modern enterprises. Advanced LLM pipelines designed with a focus on Vector Databases (Pinecone, Weaviate, Milvus). Custom fine-tuning, prompt engineering, and production-ready LLM infrastructure. 🛠️ FULL-STACK TECH STACK & DATA SCIENCE As an AI Developer: Python, FastAPI, Docker, AWS, Asyncio. As a Python Developer: LangChain, LlamaIndex, LangGraph, PyTorch. As a Web Developer: Frontend frameworks, responsive platforms, and API integration. As a Data Scientist: Advanced data processing, analytics pipelines, and model evaluation. TECH STACK ───────────────────────────────────── 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: Next.js, React, TypeScript, Tailwind, Redux, React Query, Vite, Angular, Three.js, WebGL, responsive UI 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Python (FastAPI, Django, Flask), Node.js, Express, NestJS, Java (Spring Boot), Go, WebSockets, REST, GraphQL, gRPC 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL, MongoDB, Redis, Supabase, Firebase, DynamoDB, BigQuery, MySQL Cloud & DevOps: AWS (EC2, Lambda, S3, RDS, ECS), GCP, Docker, Kubernetes, GitHub Actions, Terraform, Vercel, Netlify, Nginx, VPS automation, monitoring (Sentry, Datadog) 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Stripe, PayPal, Twilio, SendGrid, Auth0, OAuth/SSO, GoHighLevel, HubSpot, Salesforce, WhatsApp Business API, webhooks 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: Pytest, Jest, Playwright, Cypress 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗺𝗲: • Clean, maintainable code • Fast communication & reliable delivery • Long-term project mindset • Business-focused technical solutions • Available full-time (40–50 hrs/week) Whether you need an AI product, a custom SaaS platform, automation workflows, or a full-stack application, I’m ready to help you build it efficiently. 𝗦𝗲𝗻𝗱 𝗮𝗻 𝗶𝗻𝘃𝗶𝘁𝗲 𝗼𝗿 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 — 𝗹𝗲𝘁’𝘀 𝗯𝘂𝗶𝗹𝗱 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗶𝗺𝗽𝗮𝗰𝘁𝗳𝘂𝗹.

Senior DevOps | AI Engineer | Google and AWS Certified Cloud Architect | Certified Terraform Associate I design and operate production infrastructure while building AI-powered systems that integrate directly into real business workflows. My work spans cloud architecture, Linux systems, CI/CD, Kubernetes, Supabase, Cloudflare, and scalable backend infrastructure, alongside AI integrations using Claude, ChatGPT, MCP servers, Openclaw, N8N, Ollama, Gemma and custom automation pipelines. Core Expertise: DevOps & Cloud Infrastructure (AWS, GCP, Azure, Hetzner) Amazon Connect, Pinpoint Campaign Kubernetes, Docker, CI/CD pipelines Linux server administration & automation Cloudflare, reverse proxies, DNS, SSL, networking Supabase & PostgreSQL platforms AI integrations with Claude & ChatGPT MCP server development & tool-calling systems API integrations & workflow orchestration Infrastructure security, staging, backups, and production hardening I work comfortably across the full stack of modern infrastructure and AI systems, from provisioning servers and securing production environments to building intelligent integrations that automate business operations. If you need someone who can both architect reliable infrastructure and build production-ready AI systems on top of it, let’s discuss your project.

Most AI SaaS MVPs built with tools like Claude, Cursor or Lovable everything works. Until real users start using it. So, I build AI SaaS platforms and MVPs that are designed to scale from day one, not prototypes that need rebuilding later. 🏆 8+ years of an experience and delivering 50+ SaaS Platform and MVPs 🚀 50+ including 30+ Web App / Web Application builds, 15+ AI-powered SaaS Platform, and 5+ Marketplace Platform. ✅ What you hire me for: 🔧 AI SaaS & MVP development with proper architecture OR Rebuild AI-generated code to production standard. Mainly issues appear in authentication, backend APIs, database design. 🤖 AI agents & automation systems: Custom AI workflows using OpenAI, Claude, Cursor and N8N. I create systems that automate real business operations. 🔗 API & Payment Integrations: Integrating REST APIs and GraphQL APIs connecting third-party services like CRMs, SaaS tools and external platforms & Set up secure payment integrations (Stripe, PayPal and other gateways) with proper transaction handling, webhooks, and database syncing. ⚡Backend architecture & performance optimization: I improve speed and stability by optimizing your database, adding caching, setting up background processing, reducing AI costs and improving your infrastructure ✅ Tech Stack: React.js | Next.js | Node.js | Core PHP| Laravel | TypeScript | JavaScript | REST API | GraphQL | PostgreSQL | MongoDB | Supabase | Redis | AWS | Docker | Vercel | Stripe Integration | OpenAI | Claude | n8n | API Integration | Antigravity | Lovable | Bolt.ai | Wordpress ✅ Experience across products: 🏠 Marketplace / Real Estate Platform 🏥 AI SaaS Platform 🛒 SaaS MVP & Payment Systems 📱 Realtime & Data-Driven Systems 📈 Backend Systems & Workflow Automation 👉 “Most of my work involves building products from scratch or structuring them properly from the beginning.” ✅ While my services suit a broad spectrum of clients, we might not be a good fit if: ❌ You want to work with Stacks other than LAMP or MERN ❌ Your decision hinges mainly on the price tag ❌ You need it ASAP ❌ Your product is associated with the betting or adult entertainment industry ❌ Mutual respect is not important to you Click "Invite" or "Hire" & Let's connect today 🤝

Hello! I’m Senior developer with over 10 years of professional experience building enterprise-grade applications, RESTful microservices, and cloud-native solutions. I have successfully delivered projects for clients across Europe, the UK, Australia, India, South Africa, and the USA. ✅ Languages: Java (8–25), Kotlin, Groovy, Python, Node.js, TypeScript ✅ Back-End: Spring Boot, Spring Cloud, Spring Security, Micronaut, Camel, Express.js, NestJs ✅ Front-End: Angular, Vue.js, Nuxt, HTMX, Tailwind CSS, Bootstrap ✅ Databases: PostgreSQL, MySQL, Oracle, MongoDB, Redis, DynamoDB ✅ Cloud & DevOps: AWS, CDK, Cloudformation, ECS, API Gateway, Lambda, Cognito, DynamoDB, Azure, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Cloudflare ✅ Architecture: Clean Architecture, Hexagonal, Domain-Driven Design DDD, Microservices, Monolith ✅ Messaging: Kafka, RabbitMQ, ActiveMQ, Artemis ✅ Monitoring: Grafana, Kibana, Datadog ✅ APIs: REST, SOAP, gRPC, GraphQL, Websocket, SSE, tPRC ✅ Build & Tooling: Maven, Gradle, Flyway, Liquibase ✅ Other: Jhipster, Gen Ai, Agentic Ai, Hermes Agent, SDD, TMUX ✅ Opensource contribution to popular opensource projects like FlowiseAi, AWS PDK, Mongock, Jhipster lite and Jhipster Main generator. You can confidently entrust me with your project and you will not be let down by our collaboration. I assure you of my strong sense of responsibility and the high standard of the work I deliver, which you can rely on once I become part of your team.

🚀 GET YOUR SAAS MVP PROTOTYPE IN 2 DAYS 🚀 I work as a SaaS MVP Developer and technical partner for founders and startups, helping turn ideas into real SaaS products, SaaS platforms, and SaaS MVP applications built with Next.js / Nextjs. As a SaaS Developer and MVP Developer, I specialize in SaaS MVP development using Next.js and AI integrations. My goal is to help startups validate ideas fast, launch their SaaS MVP, and scale a successful SaaS platform without spending months on development. Over the past years I've built 7+ SaaS platforms and 10+ SaaS MVP products, working as a SaaS MVP Developer for startups and founders. Platforms I helped build are used by 400,000+ active users. My experience includes large SaaS platforms with 1,000,000+ content items, ultra-fast Next.js / Nextjs dashboards loading under 1 second ⚡, and high-converting SaaS MVP products that increased conversion rates by 15–28% 📈. I usually work with founders who need a SaaS Developer or SaaS MVP Developer to build a SaaS MVP, launch a Nextjs SaaS platform, or develop scalable SaaS MVP architecture. 🎯 What I specialize in SaaS platform development • SaaS MVP development • Startup MVP development • Next.js / Nextjs SaaS applications • AI integrations in SaaS platforms • Multi-tenant SaaS platform architecture • AI automation for SaaS MVP products • Real-time SaaS platform applications • End-to-end SaaS MVP development 💡 How I help founders Turn an idea into a working SaaS MVP in 2 days 🚀 Build scalable SaaS platform architecture with Next.js Launch AI-powered SaaS MVP products fast as a dedicated SaaS MVP Developer Reduce time to market for SaaS startups with efficient MVP delivery Avoid costly mistakes during SaaS MVP development by working with an experienced SaaS Developer My work as a SaaS MVP Developer and SaaS Developer helped clients save 40+ hours per month, reduce infrastructure costs by $5,000/month 💰, and grow SaaS platform revenue by $390,000 per year. 🛠 My SaaS MVP development process 📞 Product discovery call for your SaaS MVP or SaaS platform 📌 MVP roadmap and SaaS MVP development strategy 🎨 UI/UX design for your Nextjs SaaS platform 💻 Development of your SaaS MVP using Next.js / Nextjs, Node.js, and AI integrations — handled by a dedicated SaaS Developer 🧪 Testing and optimization of your SaaS platform 🚀 Launch and scaling of your SaaS MVP platform 🗣 Client feedback "Daniil builds SaaS platform functionality with incredible logic and user experience." — Vladislav Zaika "Our idea became a full SaaS platform. Daniil keeps improving our SaaS MVP product constantly." — Dmytro Bliznyuk 💻 Tech stack for SaaS MVP and SaaS platform development Next.js, Nextjs, React, TypeScript, Node.js, NestJS, PostgreSQL, Prisma, GraphQL, MongoDB, Redis, Firebase, AWS, Vercel, AI integrations and scalable SaaS platform architecture everything a professional SaaS MVP Developer needs. ✉️ Let's build your SaaS MVP Write "Hi, I have an MVP idea" and I'll show how we can turn it into a working SaaS MVP prototype with Next.js in just a few days 🚀.

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: ✅ 7x 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.