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⚡️AI Architect ⚡️AI Agens developer ⚡️Database Development ⚡️ Data Engineering ⚡️ Cloud 🚀 AI Engineer specialized in AI Agents & RAG Development - I help businesses build intelligent assistants that can understand, search, and respond using their own data. I combine 15+ years of enterprise software and database engineering with modern Generative AI architecture and build fast, reliable, and secure AI workflows. ✅ Core Expertise & Services 📌 AI Agents & Multi-Agent Orchestration: Building stateful, autonomous AI workflows using LangGraph, LangChain, and Tool Calling. Expert in creating MCP (Model Context Protocol) tools to grant LLMs secure access to internal systems. 📌Production RAG & Vector Retrieval: Architecting scalable retrieval-augmented generation systems using pgvector and semantic search over complex, multi-tenant enterprise documentation. 📌Enterprise System Integrations: Connecting LLMs via REST APIs, webhooks, and custom logic to platforms like SAP Business One, Oracle EBS, Jira, and Microsoft 365. 📌LLMOps & Observability: Setting up runtime tracing with OpenTelemetry and Grafana to monitor token costs, latency, edge-case failures, and agent decision pathways. 📌Robust Backend & Cloud Infrastructure: Developing clean, testable backend services using Python, SQL/PostgreSQL, and Docker Compose, deployed on AWS or GCP. ⚡️Why Clients Choose to Work With Me 🔹 Enterprise-Grade Quality: 15+ years of experience in database design, data validation pipelines, and complex backend architecture means I focus on system correctness, privacy, and deterministic behavior - not just fast hacks. 🔹 Production Observability: I don't leave AI as a "black box." Every agent flow I build is wired with execution tracing and telemetry to verify agent output before it hits production. 🔹 Academic & Cloud Credentials: Master of Computer Science | AWS Certified Cloud Practitioner. 🚀 Tech Stack 🔹 AI & Orchestration: Python, LangGraph, LangChain, MCP, OpenAI API, Gemini, Prompt Engineering, Structured JSON Outputs 🔹 Vector & Relational DBs: PostgreSQL, pgvector, Oracle PL/SQL, SQL, Data Modeling 🔹 Observability & Ops: OpenTelemetry, Grafana, Docker Compose, n8n, Git 🔹 Cloud & Services: AWS, GCP, REST APIs, JSON 🔍 Keywords to find me: AI & Agentic Systems: AI Agent, Agentic AI, Multi-Agent Systems, LangGraph, LangChain, Model Context Protocol (MCP), Tool Calling, Function Calling, Prompt Engineering, Structured Outputs, OpenAI API, GPT-4, Google Gemini, Anthropic Claude, LLM Integration, Custom AI Solutions. RAG & Vector Retrieval: Retrieval-Augmented Generation (RAG), Vector Database, pgvector, Semantic Search, Embedding Pipelines, Knowledge Retrieval, Document Q&A, PDF Chatbot, Data-Powered Chatbot, Supabase, Pinecone, FAISS. LLMOps & Observability: LLMOps, OpenTelemetry, Grafana, LLM Tracing, AI Observability, AI Monitoring, Message Validation, Moderation API. Enterprise & ERP Integrations: SAP Business One, SAP Service Layer, SAP R/3, Oracle EBS, Microsoft 365, Microsoft Graph API, Jira API, ERP Integration, REST APIs, Webhooks, n8n Automation. Backend & Data Engineering: Python, FastAPI, PostgreSQL, SQL, PL/SQL, Oracle Database, Data Modeling, ETL Pipelines, Data Validation, Stored Procedures, SQL Tuning, Data Warehouse. Cloud & DevOps: AWS, Google Cloud Platform (GCP), Vertex AI, AWS S3, AWS Lambda, Docker, Docker Compose, GitHub Actions, Git, Cloud Automation.

Certified Jira Architect with 16+ years of practical enterprise implementation. I specialize in turning Jira setups into AI-driven project management and cost-efficient platforms 💡 HOW I HELP COMPANIES: 1️⃣ Cost Optimization & Cleanups 2️⃣ AI-Powered Automations & Integrations 3️⃣ Marketplace Apps Setup: Structure, BigPicture, eazyBI, Tempo, ScriptRunner 4️⃣ Custom App Development (Forge) 🏆 PROVEN TRACK RECORD & CREDENTIALS: ⭐️ Atlassian Certified Jira Administrator for Cloud and Managing Jira Projects for Cloud ⭐️ 16+ years as a Team Lead, PM, and Product Manager (I speak the language of business, not just administration). ⭐️ Delivered 20+ large-scale projects (10 to 500+ users) with long-term support. ⭐️ Industry expert: Speaker at IAMPM courses, led 16+ professional Jira workshops. MY METHODOLOGY: I act as a Business Analyst first, developer second. Before changing a single setting, I analyze your business workflows, build a prototype in my test environment, and ensure the solution is future-proof. If this is something I can help you with, please reach out! Contact me for any Jira consultation task

AI & Cloud Solutions Architect | 17+ Years | Former Microsoft MVP I design and build AI-powered products and cloud platforms that solve real business problems — from intelligent agents and chatbots to full-stack SaaS systems. ⚡ What I bring: - AI Agents & LLMs — LangChain, LangGraph, Microsoft Agent Framework, Semantic Kernel - Cloud & Backend — Azure, AWS, Runpod, ASP.NET, FastAPI - Microsoft Ecosystem — M365 services, Teams integrations, Bots - Generative AI — KlingAI, ElevenLabs, Stable Diffusion, Wan 2.1 Over 17 years I've delivered successful projects across AI, cloud infrastructure, mobile apps, and conversational AI — for both SMBs and enterprise clients. I'm a former Microsoft MVP for Windows and ASP.NET Development. 🌐 Based in Kyiv, Ukraine. Available for end-to-end development, architecture consulting, and PoC delivery. 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: 🥇 Microsoft Certified: Azure AI Engineer Associate 🥇 Microsoft Certified: Azure Solutions Architect Expert 🥇 Microsoft Certified: Azure Developer Associate 🥇 Microsoft Certified: DevOps Engineer Expert 🥇 Microsoft Certified: Azure Administrator Associate 🥇 Microsoft Certified: Azure Cosmos DB Developer Specialty 🥇 Udemy: Hybrid Leadership: Essential skills to lead from anywhere 🥇 MCSD: App Builder 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐀𝐈-𝐛𝐚𝐬𝐞𝐝 𝐜𝐚𝐬𝐞𝐬: • Chat with company knowledge base using agents • AI-based eCommerce products recommendations and metadata enrichment • Emotional Support through AI-Driven Virtual Companions Platform • ​Intelligent Assistant for Revenue Management platform • Agentic ​Legal AI Assistant 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 .𝐍𝐄𝐓 𝐜𝐚𝐬𝐞𝐬: • Digital Workplace platform for enterprise • Intelligent Assistant for Revenue Management platform (SaaS) • Platform for competency management for enterprise

Senior Python Backend Engineer building real-time data pipelines and AI-powered systems (5+ years commercial experience) I design and ship production backend services for data-intensive platforms — from Kafka-based real-time ingestion to ClickHouse analytics at scale (800M+ records) and LLM-powered tools built on the OpenAI API. I own features end-to-end: architecture, implementation, deployment, and production support. Recent highlights: ▸ Cut data ingestion latency by ~40% by redesigning a Kafka/WebSocket pipeline for live sports event streams ▸ Reduced ClickHouse query time by 50-60% and storage costs by ~20% through partition and query redesign on an 800M-record database ▸ Built an internal AI knowledge assistant (OpenAI API) letting engineers search documentation and configs across 60+ systems in natural language ▸ Architected a decoupled document-processing pipeline with a GPU-backed worker service, priority-based task queueing (Dramatiq/Redis), and ML model integration ▸ Delivered OAuth2/AWS Cognito authentication for a regulated-industry client, meeting enterprise security requirements 💪 Core stack: ✅ Python, FastAPI, Flask, Django/DRF, AsyncIO, Pydantic, SQLAlchemy ✅ Kafka, Celery, Dramatiq, RabbitMQ, WebSockets ✅ PostgreSQL, ClickHouse, MongoDB, Redis ✅ OpenAI API, LangChain, RAG, Vector Search, Prompt Engineering ✅ Docker, Kubernetes, AWS, GCP, CI/CD (GitHub Actions, GitLab CI) ✅ REST API, Swagger/OpenAPI, OAuth2, JWT I work best with clients who need a reliable senior engineer to take ownership of a service or feature — not just write code to spec, but think through architecture, edge cases, and long-term maintainability. Clear communication and predictable delivery matter to me as much as clean code. Open to long-term collaboration and complex, high-load projects. Let's discuss your requirements. Vasyl

I am an AI developer and senior .NET engineer. I help companies build practical AI-powered products, RAG systems, chatbots, AI assistants, document search, and AI workflows that work with real business data. A strong background in .NET, backend systems, SaaS platforms, Blazor, Azure, databases, and production-ready architecture helps me build AI features as stable parts of real software products. My focus is on making the solution useful, reliable, and easy to maintain. I have worked with systems in finance, grocery, and other business domains, with attention to clean architecture, good performance, stable backend, and code that other developers can support and extend later. 🤖 AI Engineering - AI-powered applications and business automation - RAG systems / Retrieval-Augmented Generation - AI assistants and knowledge-base chatbots - AI agents and multi-step AI workflows - LLM integration and orchestration - OpenAI API, Semantic Kernel - Vector databases, including Qdrant - Document processing and semantic search - Prompt engineering and context management - Integration of AI features into existing .NET applications 🌐 Backend & Architecture - .NET Core / .NET Framework - High-load systems and distributed architecture - Microsoft Orleans - REST APIs and scalable SaaS platforms - Event-driven and service-oriented architecture - Performance optimization - Legacy system modernization 🎨 Frontend - Blazor - Angular - SPA development - HTML, CSS, TypeScript 🚀 Cloud & Data - Azure Cloud - Azure App Services - Azure Storage - SQL Server, PostgreSQL, Cosmos DB - Entity Framework, Dapper - Database design for business and AI-powered applications 📱 Mobile - .NET MAUI - Mobile application development - Contribution-level experience with the .NET MAUI ecosystem 🗄️ DevOps - Azure DevOps - CI/CD pipelines - Git - Deployment automation 📈 Experience & Results - Built AI-powered features, RAG systems, and assistants connected to real business data - Integrated LLMs with databases, APIs, documents, and internal knowledge bases - Built and scaled systems in finance and grocery domains used by thousands of users - Delivered full-stack solutions including backend, web, mobile, and AI features - Designed systems capable of handling real production traffic - Led development teams and mentored other engineers - Contributed to the .NET MAUI ecosystem - Migrated legacy systems from .NET Framework to modern .NET architecture - Improved performance, stability, and maintainability of existing applications 🤝 Let's connect! If you need an AI developer who can also build reliable .NET software behind the AI features, feel free to reach out and let’s discuss your project.

👋 Hey everybody and welcome to my Upwork space! I’m an experienced Java developer who’s working with the up-to-date and most effective technologies. To ensure the highest quality standards, I tend to adhere to best coding practices. I continue to improve my skills and already know that the best way to learn something new and evolve as a professional is to work on the projects as a part of a team. I'm open to small and mid-size projects. Very communicative and easy-going. Ready for any skills evaluation, test task, technical interview. My tech stack: ▪ Backend: Java ▪ Frontend: Angular, React, HTML/CSS ▪ Frameworks: Spring Framework (SpringMVC, Spring Boot, Spring Data, Spring Security), Camunda 7 & 8 (Tasklist API, Operate API, Zeebe API, Web Modeler API) ▪ ORM: Hibernate ▪ Testing: JUnit, Mockito ▪ VCS: Git(GitHub, GitLab) ▪ Relational databases: MySQL, PostgreSQL, MariaDB ▪ NoSQL databases: MongoDB, Redis, DynamoDB, CosmosDB ▪ Build automation tools: Maven, Gradle ▪ API documentation tools: Swagger ▪ Clouds: AWS, Cloudinary–basic ▪ CI/CD: Jenkins ▪ IDE: IntelliJ IDEA ▪ Other: REST API, Design Patterns, Log4j 2, Lombok, Thymeleaf, Jakarta Servlet, JSP, JSTL, Guava, Groovy, Web Sockets, PDFsharp Workflow: - Agile, Kanban, Scrum - GIT, SVN (bitbucket/github/gitlab) - Jira, Trello, Asana, Assembla, Basecamp, ProjectPlace. I am up to long-term and full-time collaboration, so if you need a talented dev with technical background, feel free to drop me a line any time!