🚀 I help founders and teams move past AI prototypes and ship production-ready AI agents, RAG assistants and chatbots inside real SaaS and MVP products. Top Rated, 100% Job Success, $200K+ earned across 89 projects. As an AI Agent Developer I own the whole build - agent logic, RAG layer, backend, frontend and deployment. One senior engineer, no hand-offs. ⭐ PROVEN RESULTS An AI SaaS product I built now serves 10,000+ users. Lebenswerk.ai - cross-platform AI app (Android, iOS, Azure backend), shipped end to end, 5.0 stars: "highly skilled across the full stack." MVP for a pay-per-message product, 5.0 stars: "thinks outside the box like an actual partner." AI agents, RAG systems and AI SaaS delivered in Healthcare, Real Estate, Fintech and Marketplaces. 🤖 WHAT I BUILD AI agents and agentic systems (LangChain, LangGraph, MCP), AI chatbots and RAG assistants that run in production, not in a demo - wired into your product (WhatsApp, CRM, internal tools) and wrapped in a clean AI SaaS or MVP that holds up under real load. Stack: OpenAI & Anthropic Claude API, LangChain, LangGraph, Pinecone, pgvector, Python (FastAPI), Node.js, React, Next.js, PostgreSQL, AWS, Azure, Vercel. ✅ HOW WE START Book a 30-minute consultation (my last 4 all turned into ongoing projects) or start with a small first milestone. Tell me what you're building and I'll be honest about the best way to ship it.

✅Let's start with a quick consultation or a small initial milestone so you can see I'm the right fit. 🔥PROVEN BUSINESS IMPACT - 7+ Years of engineering and building enterprise-grade applications as a .NET developer in high-stakes environments. - ROI-Driven Development: $2.5M+ in verified client impact, leveraging my background as a full stack developer to increase revenue and reduce operational overhead through expert software development. - Performance Engineering: 90% faster data processing and 75% lower infrastructure costs achieved through advanced Microservices and optimization as a senior .NET developer proficient in ASP.NET Core. - Scalability & Growth: Scaled platforms to 30,000+ active users; consistently cut time-to-market for MVPs by 4–6 weeks by applying the expertise of a seasoned full stack developer. - Legacy Modernization: Proven track record as a .NET developer migrating legacy systems - including .NET Framework and .NET Compact Framework - to modern architectures, resulting in 40% fewer bugs. - Efficiency Gains: Reduced admin friction by 45% through custom-built automation, demonstrating the value a dedicated full-stack developer brings to complex SQL-driven workflows. 👨🏻‍💻THE PARTNERSHIP EXPERIENCE - Full-Stack Authority: Microsoft-certified expertise spanning the entire development lifecycle, from robust C# backend architecture to dynamic frontend interfaces. - Versatile Tech Lead: Whether you need a full stack developer for MVP creation, a .NET developer for enterprise scale, or a java developer for backend migration, I bridge the gap between technical requirements and business goals. I also offer the flexibility of a java developer for interoperability, and the analytical power of a python developer for data-heavy tasks. - Agile & Transparent: High-velocity delivery using JIRA/Asana, providing the clear, consistent communication expected from a senior full-stack developer. ⚙️ ENGINEERING CAPABILITIES - Backend Architecture: Building high-throughput systems with C#, ASP.NET Core, and ASP.NET Web API. I also offer the flexibility of a java developer to integrate with diverse existing ecosystems. - Modern Frontend: Crafting dynamic UI/UX using Angular, React, and JavaScript. My deep experience with HTML5, CSS 3, and Bootstrap ensures highly responsive, mobile-first designs. - Cloud & Infrastructure: End-to-end management of cloud-native ecosystems (Azure/AWS) and containerized deployment pipelines as a lead .NET developer. - Data & Performance: Advanced database design using Microsoft SQL Server and complex SQL queries to cut data latencies by up to 50%. - Cross-Functional Skills: I bring the architectural discipline of a .NET developer - including ASP.NET MVC and ASP.NET expertise - to every project, while also offering the modern tooling mindset of a full stack developer using Node.js. 🏆 DOMAIN SPECIALTIES - FinTech: Secure ledger systems and transaction management built by a specialized .NET developer. - Healthcare: HIPAA-compliant patient management portals and telehealth solutions. - LegalTech/Enterprise: Complex document workflows and granular RBAC. ⚒️ TECHNICAL TOOLSET - The .NET Stack: .NET Framework, .NET Compact Framework, ASP.NET Core, ASP.NET Web API, ASP.NET MVC, ASP.NET, C#. - Frontend Mastery: Angular, React, JavaScript, HTML5, CSS 3, Bootstrap, jQuery. - Data Layer: Microsoft SQL Server, SQL, Redis, MongoDB, ElasticSearch. - General Stack: Node.js, Python, Docker, CI/CD. - Engineering Standard: Clean Architecture, SOLID Principles, and an uncompromising focus on software development quality. 📩If you’re looking for a reliable and experienced .NET Developer and full stack development partner who understands both technology and business impact, I’d be happy to connect - feel free to invite me for an interview!

I’m a Senior Python Engineer and Full Stack Developer with 8+ years of experience building web scraping infrastructure, automation platforms, backend systems, and scalable data engineering solutions for startups, SaaS products, trading companies, and data-driven businesses. Clients usually contact me for projects related to Python development, Full Stack development, backend development, backend APIs, web scraping, data extraction, browser automation, Playwright automation, Selenium automation, Scrapy development, ETL pipelines, workflow automation, automation systems, API integrations, real-time data processing, AI automation, OpenAI integrations, scalable backend systems, sportsbook software, betting systems, odds aggregation, analytics platforms, SaaS products, and high-load real-time data systems. Why clients work with me ✔ 8+ years of Python engineering experience ✔ 6+ years of Full-Stack engineering experience ✔ $400K+ earned on Upwork ✔ Top Rated Plus freelancer ✔ Production-grade scalable architectures ✔ Strong communication and reliable delivery ✔ Experience with high-load real-time systems ✔ Long-term technical partnership mindset My main stack includes: Python • FastAPI • Django • Flask • AsyncIO • REST APIs • GraphQL • Playwright • Selenium • Scrapy • WebSockets • Microservices • Celery • SQLAlchemy • Backend Architecture - Web Scraping & Data Engineering Playwright • Selenium • Scrapy • BeautifulSoup • Requests • Browser Automation • Data Extraction • Web Scraping • Data Mining • ETL Pipelines • Proxy Management • Pandas • NumPy • Dask • Scikit-learn • TensorFlow • PyTorch • XGBoost • OpenCV - Advanced Scraping Infrastructure Cloudflare • DataDome • Akamai Bot Manager • PerimeterX • reCAPTCHA • hCaptcha • Residential & Mobile Proxies • Session Management • Authentication Workflows • Browser Fingerprinting - Full Stack Development React • Next.js • TypeScript • JavaScript • HTML5 • CSS3 • Tailwind CSS • Admin Dashboards • SaaS Applications • Analytics Dashboards - Cloud, DevOps & Infrastructure Docker • Kubernetes • AWS • Google Cloud • Azure • GitHub Actions • GitLab CI/CD • Terraform • Ansible • Nginx • Linux AI & LLM Development OpenAI API • GPT-4 • Claude • Llama • AI Agents • RAG • Prompt Engineering • AI Automation • LLM Integrations • As a Full Stack Developer and backend developer, I build backend systems, APIs, automation platforms, web applications, analytics dashboards, browser automation workflows, admin panels, and scalable real-time data products designed for production environments. Web Scraping & Automation As a Python developer specializing in web scraping and automation systems, I build scalable scraping infrastructure for dynamic websites, protected platforms, APIs, marketplaces, SaaS products, and analytics systems. Scraping and automation projects include: • Large-scale web scraping systems • Data extraction pipelines • Browser automation with Playwright and Selenium • Scrapy-based scraping infrastructure • API reverse engineering and API integrations • Proxy management and anti-bot workflows • Marketplace and e-commerce data collection Backend Development & Automation Systems As a Full Stack Developer and backend developer, I also build scalable backend systems, backend APIs, automation infrastructure, workflow automation platforms, web applications, and real-time backend services. Typical backend and automation projects include: • Backend API development • Workflow automation systems • Real-time automation platforms • Monitoring and reporting systems • Data synchronization systems • Internal business automation tools • Web applications and admin dashboards • Cloud-based backend infrastructure Clients hire me as a Python developer and Full Stack Developer when they need scalable backend systems, automation workflows, real-time data processing, or production-grade infrastructure that can support long-term product growth. Sportsbook & Betting Systems I have strong hands-on experience building sportsbook software, betting systems, odds aggregation platforms, sportsbook data systems, and real-time betting infrastructure running in production environments. • Real-time sportsbook odds aggregation systems • Arbitrage and positive EV analytics platforms • Betting automation and execution systems • Historical odds databases and backtesting engines • Sports analytics dashboards and reporting systems • Odds monitoring and alerting systems AI Automation & Data Infrastructure • AI data collection pipelines • OpenAI API integrations • AI automation workflows • RAG and knowledge base infrastructure • AI enrichment and structured data processing If you need a Python developer, Full Stack Developer, backend developer, or automation developer who can build scalable backend systems, automation infrastructure, web applications, sportsbook systems, or real-time data products, feel free to reach out.

Full Stack Software Engineer with 9+ years of experience building scalable web and mobile applications, with a strong focus on AI chatbots, workflow automation, and custom SaaS platforms across B2B, FinTech, and consumer products. I specialize in AI-powered conversational systems that do more than scripted replies — chatbots that understand context, retain memory, and integrate seamlessly with your backend, CRM, or third-party tools. Whether you need an AI assistant for lead capture, support automation, or internal operations, I deliver secure, reliable, and high-performing solutions end-to-end. What I Build: 🔸AI chatbots using GPT-4, Claude, LLaMA, or custom LLMs 🔸Memory-enhanced chat flows (Pinecone, Weaviate, PGVector) 🔸RAG search tools with LangChain 🔸Secure backends (Node.js, Java, Python) with SQL/NoSQL databases 🔸Clean, responsive UIs (React, Angular, TypeScript) 🔸Integrations with Slack, Intercom, HubSpot, Zapier 🔸Full-stack chatbot platforms with web or hybrid mobile frontends and cloud-hosted backends Tech Stack Highlights: 🔸Languages: Java, Node.js, Python, TypeScript 🔸Frameworks: Angular, React, Express.js, FastAPI 🔸AI Tools: OpenAI, LangChain, Pinecone, ChromaDB 🔸Cloud & DevOps: AWS, Docker, Terraform, GitHub Actions 🔸Databases: PostgreSQL, MySQL, MongoDB, Redis 🔸Design: Figma, Storybook If you’re building an AI chatbot, adding conversational features to your product, or automating complex workflows, I’d be happy to help you design and deliver it from day one. Let’s connect and bring your idea to life — faster and smarter.

Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.

Is your AI agent a production system or a fragile demo? Most AI agent projects collapse the moment they hit real traffic. 🏆 20+ years architecting production systems at principal engineer level 📊 $100K+ earned on Upwork across 32 architecture projects 🎯 100% Job Success Score, Top Rated Plus on Upwork ⚡ Built an MCP server connecting AI agents to live financial operations on Solana 💼 CEO at Osambit, a 20-person AI agent engineering team ✅ Enterprise Blockchain Architect certified, former Sr Principal Engineer at Nordstrom ⭐⭐⭐⭐⭐ "We've had the opportunity to collaborate with the Osambit team, and it's been a great experience. They're highly professional, responsive, and truly understand the final goal. Their technical expertise and ability to deliver on time have been key to the success." (Alwyn V., IXO World) As an AI Agent Architect with 20+ years of production engineering experience, I build AI agent systems using LangGraph, LangChain, and MCP that run in production, not prototypes that die in demos. Every AI agent project I take on starts with a decision graph - what the AI agent handles autonomously, what escalates to a human, and where it fails safely. That architecture-first approach is why my AI agent systems survive real traffic while cheaper builds collapse on edge cases. 🔶 IXO World (AI agent architecture): full-time Q4 2024 engagement | delivered on time | team collaboration verified by client testimonial above 🔶 Meteora + proprietary DLMM protocol (AI agent + DeFi automation): $81K engagement | MCP server linking AI agents to live trading operations | real-time autonomous execution with human-in-the-loop safeguards 🔶 Roover.AI (AI agent system architecture): intelligent B2B2C roof estimation platform | multi-modal RAG pipeline design | production deployment 🔶 Nordstrom (Sr Principal Engineer, 5 years): architected 9+ enterprise systems | supported 10 offshore engineering teams | supply chain, payment, logistics domains WHAT I DO ✅ AI Agent Architecture: decision graph design, multi-step workflow orchestration, human-in-the-loop control for every AI agent system ✅ LangGraph & LangChain Systems: production AI agent pipelines with state management and tool connectivity ✅ MCP Server Development: Model Context Protocol servers connecting AI agents to real business systems ✅ RAG Pipelines: retrieval-augmented generation grounding LLM answers in your knowledge base ✅ Multi-Agent Orchestration: CrewAI, LlamaIndex, and custom AI agent orchestration for complex agentic AI workflows ✅ AI Agent Security Hardening: prompt injection defense, data leakage prevention, auditability ✅ LLMOps & Production Deployment: tracing, observability, evaluation frameworks, regression testing for AI agent systems ✅ OpenAI & Claude API Integration: enterprise-grade AI agent integration with cost, latency, and failure-mode management WHO I WORK WITH 🎯 B2B and B2C companies building AI agent products, not one-off assistant setups 🎯 Founders and CTOs who need AI agent systems running in production with real users 🎯 Teams with multi-week engagements (4+ weeks minimum), not 5-minute tasks 🎯 Companies that understand AI agent architecture is a design problem, not a prompt problem 🎯 Clients who value senior engineering judgment over the cheapest hourly rate MY PROCESS 1️⃣ Architecture Review: 24-hour turnaround on a decision graph, failure-mode map, and scope estimate for your AI agent project 2️⃣ Design: AI agent flow specification, tool boundaries, escalation rules, evaluation plan 3️⃣ Build: production AI agent system with observability, security, and regression tests from day one 4️⃣ Deploy & Iterate: staged rollout, LLMOps monitoring, iterative refinement of the AI agent based on real usage Send me a message or invite me to your AI agent project. Free 24-hour AI agent architecture review available - no commitment required.

👋 Hi, I’m a 🏆 ⭐️⭐️⭐️⭐️⭐️Top Rated Python Web Scraping and Data Mining Expert at GroupBWT - a 100-person engineering team delivering scalable, high-accuracy data extraction and web scraping systems since 2009. I specialize in building end-to-end data mining and lead generation pipelines using tools like Python, Selenium, Playwright, and Puppeteer to extract structured information from complex, dynamic, and protected sources. Over the years, I’ve worked on systems where data mining and web scraping are core infrastructure components, not just scripts. We help clients replace spreadsheets, manual monitoring, and unreliable sources with fully automated pipelines delivered into APIs, dashboards, or databases: ✅ Our Python Web Scraping and data mining systems process over 1.5 million URLs per day, with proxy rotation, retry logic, and real-time monitoring. ✅ We reduce reporting delays by 70% using real-time data mining and web scraping pipelines for inventory, pricing, and market tracking. ✅ Our systems collect and structure more than 15,000 news articles weekly using web scraping and data mining pipelines, converting unstructured content into usable insights. 🔁 What I do 📦 Python Web Scraping Data Mining: We build large-scale Python Web Scraping data mining systems that extract structured data from marketplaces, real estate platforms, B2B directories, social networks, and news sources. ✔ Product & Price Monitoring ✔ Competitor Analysis ✔ Business Directory extraction ✔ Lead Generation & Contact Discovery 🧹 Cleaning, Enrichment & Integration We don’t stop at extraction - every data mining and Python Web Scraping pipeline includes cleaning, normalization, deduplication, and enrichment. We turn raw outputs into Data Analyst-ready datasets that integrate with CRMs, BI tools, and internal systems. ✔ Document & Market analysis ✔ Data matching and enrichment ✔ Classification and tagging 📤 Automation & Scalable Delivery We design recurring web scraping data mining pipelines that run daily or hourly with full observability. Every web scraping data mining system includes monitoring, alerts, retries, and structured delivery into APIs, databases, or BI dashboards. ✔ Scheduled web scraping data mining pipelines ✔ Real-time dashboards ✔ Automated reporting feeds ✔ Lead Generation database creation and enrichment ✔ Custom bot developer solutions ✔ Data Analyst-ready dataset 🧾 Data Entry & Data Scraping Support We provide structured Data Entry services: ✔ Lead Generation database creation and enrichment ✔ Data Entry for large-scale scraped datasets into spreadsheets, CRMs, and databases ✔ Data Entry automation for transforming unstructured data scraping outputs into structured records ✔ High-volume Data Entry handling for product, business, and directory information ✔ Data Entry validation to ensure accuracy and consistency across datasets ✔ Semi-automated Data Entry workflows ⚙️ Tech Stack: Languages: Python, JavaScript, PHP Databases: MySQL, PostgreSQL, MongoDB, DynamoDB, MSSQL, Snowflake Frameworks: Scrapy, Twisted, Hadoop, DRF, Laravel, ApacheSpark Containerization: Docker, k8s Message Brokers: RabbitMQ, Redis AWS: EC2, SQS, RDS, S3, Lambda, Gateway, Neptune Libraries: Celery, Puppeteer, NLTK, numpy, pandas, spaCy, TensorFlow, scikit-learn, React-PHP, Keras, sqlalchemy, Gensim, pyTorch RPA & Workflow: Selenium, Playwright, UI automation, Slack/Google Sheets integrations, API workflows, Excel automation Bot Developer: Custom bot developer | data scraper solutions Platform: Databricks, Snowflake, BigQuery, Airflow, DBT, Redshift, Power BI 🧩 SAMPLE WEB SCRAPING & DATA MINING PROJECTS ✅ Built a platform covering 300+ marketplaces using Python Web Scraping and data mining, processing 60M+ records daily ✅ Built pricing intelligence system using data mining and Python Web Scraping across 120+ eCommerce domains ✅ Delivered news intelligence platform powered by web scraping data mining from 80+ global media sources ✅ Built a lead generation platform using Python scraping and web scraping data collection across multiple business directories, generating thousands of verified leads weekly 🤝 Why Clients Work With Us: ✅ Enterprise-Grade Web Scraping & Data Mining Systems 🔹 We build full-scale ecosystems, not scripts - every Python Web Scraping and data mining system includes monitoring, scaling, error recovery, and Data Analyst-ready outputs. 🔹 Clients reduce manual work by up to 60% using automated web scraping data mining pipelines 🔹 Result: 25-35% lower operational costs through stable web scraping data mining infrastructure ✅ Built to Scale 🔹 Systems handle 100M+ pages/month using web scraping data mining architecture 🔹 Designed for horizontal scaling of web scraping data mining workloads 🔹 Real-time updates through scheduled web scraping and data mining execution 🚀 Ready to turn data into structured intelligence using web scraping and data mining? ➡️ Invite me to your job and let’s build your pipeline

🟢 Looking for a developer who can boost your business processes using AI? 🟢 Hi, I’m Vitaliy, Top Rated Plus Python Developer and Automation Expert at DataOx with 10+ years of experience in Python and Java backend development, AI-powered automation platforms, LLM integrations, and large-scale data systems. For 8 years on Upwork I’ve completed numerous projects, maintaining a 97% Job Success score, delivering production-ready systems, AI agents, workflow automation solutions, data pipelines, and intelligent backend architectures that help companies reduce manual work, process high volumes of data, and scale operations efficiently. ⭐️⭐️⭐️⭐️⭐️ "The team is extremely efficient, creative, communicative, and flexible. They are excellent at bringing ideas and concepts to life. Our team has worked with other developers in the past, and no one compares to these guys. Do yourself a favor and hire them for your project." What I can help you with: • Web scraping & data extraction (complex, dynamic websites, anti-bot bypass) • API development & integrations (REST APIs, third-party services) • Workflow automation, RPA & backend systems • AI solutions: AI Chatbots, AI Agents & AI Automation for business workflows, LLMs, NLP, bots, intelligent processing • ETL pipelines & data engineering • System integration & custom tools • Python and Java backend, Web Applications & SaaS platforms My Technical Stack AI & LLM Systems: OpenAI API, LangChain, PyTorch, TensorFlow, LLM integration, RAG pipelines, multi-agent workflows, prompt engineering & optimization, AI chatbot backends Backend & Automation: Python, Java, FastAPI, Flask, Django, Spring Boot, REST APIs, Playwright, Selenium, Scrapy, BeautifulSoup Frontend: JavaScript, TypeScript, ReactJS, Next.js, Tailwind CSS Data & Infrastructure: Pandas, SQLAlchemy, PostgreSQL, MongoDB, BigQuery, Airflow, Docker, Kubernetes, AWS, GCP, Azure My Results in Numbers: 🔶 AI Recruitment Platform: Built AI hiring platform with 900K+ candidates, 20K jobs, 2.5K companies, 120K assessments/year, 20K video interviews, 680K candidates via integrations. 🔶 Global Certification Data Platform: Automated aggregation of 500K+ records/month, reducing search time from days to 15–30 minutes and accelerating deal cycles by 3-5x. 🔶 AI Document Intelligence System: Processed 1M+ documents/year with LLM, achieving 90%+ extraction accuracy, reducing manual work by 80%, handling 50+ document types, and scaling to 10K+ documents/day with automated validation Why Clients Choose Me Experience: 10+ years in backend engineering, Python development, Java Development and scalable AI systems Proven Quality: 97% Job Success Score and Top Rated Plus on Upwork Expertise: AI automation, LLM integrations, workflow automation, and production-ready backend architectures 📩 Send me your project requirements, and I’ll provide a clear, high-impact strategy to turn your vision into reality.

👋 Hi! I’m a 🏆 ⭐️⭐️⭐️⭐️⭐️Top Rated Senior Full Stack Developer / Front End Developer and Head of Engineering at GroupBWT - a 100+ member software company with over 15 years of experience building SaaS platforms, automation systems, data-driven tools, and large-scale enterprise applications. As a Full Stack Developer and Front End Developer, I design and deliver complete end-to-end systems with a focus on long-term scalability and maintainable architecture. My role as a Full Stack Developer includes system design, backend logic, and infrastructure decisions, while as a Front End Developer I ensure fast, responsive, and conversion-focused interfaces that perform well under real production load. What we deliver for our clients: ✅ SaaS products supporting 30,000+ active users with real-time collaboration features ✅ Platforms processing over 70,000 API requests per day ✅ Automation systems that reduce manual workflows by 50–65% ✅ Scalable architectures designed to handle 5–8× traffic growth without redesign 🔁 What I Do 📦 End-to-End Application Development (Full Stack Developer / Front End Developer) As a Full Stack Developer, I build complete systems from scratch, including architecture decisions and deployment strategies. As a Front End Developer, I focus on UI structure, performance, and usability in real production environments. 🔹 SaaS platforms 🔹 Admin dashboards & internal toolsefficiency 🔹 Real-time systems 🔹 Multi-tenant architectures 🔹 Subscription & billing systems Across all projects, I work as a Full Stack Developer responsible for system consistency from frontend to backend. 🎨 Frontend Engineering (Front End Developer focus) As a Front End Developer, I build interfaces that remain stable under heavy usage and complex state changes, while aligning closely with backend systems built by Full Stack Developers. 🔹 React / Next.js applications with reusable architecture 🔹 State management systems 🔹 Tailwind & UI systems 🔹 Performance optimization 🔹 Real-time UI updates connected to Full Stack Developer event systems The goal of every Front End Developer implementation is predictable performance and clean UI behavior. ⚙️ Backend Engineering (Full Stack Developer focus) As a Full Stack Developer, I design backend systems with reliability, scalability, and observability in mind, ensuring smooth interaction with Front End Developer interfaces. 🔹 REST & GraphQL APIs 🔹 Microservices architectureindependently 🔹 Async workers 🔹 WebSockets and real-time systems 🔹 External API integrations Each Full Stack Developer decision is made with long-term system evolution in mind. 🧩 Recent Experience (Full Stack Developer / Front End Developer) ✅ Multi-Tenant SaaS Platform (React + Node js + Python) Lead Full Stack Developer for a platform serving 50K+ monthly users and 30+ organizations.
 ✔ 100K+ daily API calls • 25M+ records • Billing for $500K+/year ✅ Enterprise CRM (React + Node js) Primary Full Stack Developer for a CRM used in 12 countries.
 ✔ Automated workflows cut manual work by 70%
 ✔ 200K+ processed events/day • 8 API integrations ✅ Scheduling Platform (React + Node js + Python) As a Full Stack Developer, designed booking logic for 20K+ bookings/month.
 ✔ Real-time availability (<80ms)
 ✔ Payment flows processing $1M+ annually ✅ Data Platform (Python + React) End-to-end ownership as a Full Stack Developer, delivered pipelines processing 3M+ records/day.
 ✔ 85% faster data prep • <1s dashboard latency ✅ Workflow Automation Engine (React + Node.js) Built as a Full Stack Developer full automation replacing spreadsheets and manual operations.
 ✔ 40K+ tasks/day • 92% fewer errors • 70% less manual work 🤝 Why Clients Choose Me as a Full Stack Developer and Front End Developer ✔ True Full Stack Expertise With 16+ years as a Full Stack Developer, I deliver complete systems, not fragments. ✔ Mastery of React, Node js, and Python All three technologies are used deeply and consistently across my projects as a Full Stack Developer. ✔ GroupBWT Strength 🔹 Since 2009
 🔹 100+ engineers
 🔹 Dedicated Full Stack Developer division
 🔹 Proven reliability and fast communication ✔ Business Impact Clients report:
 ➡ 50% faster delivery
 ➡ 60% lower manual overhead
 ➡ 10× fewer bugs after release
 All thanks to proper Full Stack Developer engineering principles. 💻 Tech Stack (Full Stack Developer / Front End Developer) Languages: JavaScript, TypeScript, Python, PHP Frontend: React, Next.js, Vue, Angular, Tailwind, Material UI Backend: Node.js, NestJS, FastAPI, Flask, GraphQL, REST Databases: PostgreSQL, MongoDB, MySQL, Redis Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, CI/CD Architectures: SaaS, microservices, event-driven systems 🚀 If you need a scalable web platform - let’s connect. ➡️ Invite me to your job, and I’ll help design and build a reliable production system.

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