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I can confidently architect and build & ship complex projects. 15+ years of experience as a full-stack web/mobile/desktop developer, cloud native software solutions architect & fractional CTO, expertise in designing and deploying systems with or without AI that transform how businesses operate. I bridge the gap between complex AI theory and real-world applications, leveraging my deep technical foundation in software engineering, cloud architecture, and DevOps to build scalable, secure, and cost-effective systems. Whether you’re launching an AI-powered MVP, optimizing LLMs, or architecting enterprise-grade AI agents, I deliver ethical, future-proof solutions that align with your business goals. My natural skills: Complex Problem Solving, Creativity, Cognitive Flexibility, Critical Thinking, Emotional Intelligence, Coordinating with Others, Judgment and Decision Making, People Management, Service Orientation, Negotiation, Perseverance, and more. 🛠️ Core Industory Expertise ⚒️ My expertise spans LLM, LLMOps, Autonomous AI Agents, and Generative AI, enabling me to craft solutions that automate workflows, enhance decision-making, and unlock new opportunities. AI/ML 🤖: LLM Development & Fine-Tuning (OpenAI, Claude, Gemini, Llama, Deepseek-R1, RAG architectures) AI Agent Design (Autonomous workflows, multi-agent collaboration, reinforcement learning) Generative AI (Custom chatbots, content automation, image/video synthesis) Frameworks: LangChain, LlamaIndex, TensorFlow, PyTorch, OpenAI, HuggingFace Tools: FlowiseAI, AgentGPT, Dify, MetaGPT, RAGFlow, Mem0, crewAI, ComfyUI, n8n, zapier, make, and MORE! Full-Stack Development 🕸️: Frontend: HTML, CSS, JavaScript, TypeScript, WebAssembly (WASM), React.js, Next.js, Angular, Vue.js, Nuxt.js, Svelte, SvelteKit, and more. Libraries & Framework: Tailwind, Material UI, Shadcn, Radix UI, Sass, Less, Bootstrap, Daisy UI, and more. Backend: Python/Mojo, C/C++, Node/Deno/Bun (JavaScript/TypeScript), Rust, Zig, Go, GraphQL, gRPC, Django, FastAPI. Databases: MongoDB, PostgreSQL with extensions, MySQL, SQLite, Amazon RDS, Elasticsearch, Meilisearch, Clickhouse, Supabase, Firebase, Redis, Apache Kafka, RabbitMQ, Valkey, DynamoDB, ScyllaDB, Apache Spark, Typesense, Weaviate, LanceDB, netdata, SurrealDB, Pinecone, S3, Minio, DuckDB, CockroachDB, Drizzle ORM, Prisma, TypeORM and more Tools: Figma, AdobeXD, Sketch, Postman, Bruno, Grafana, Prometheus, PostHog, Resend, Notion, OpenAPI, Scalar, and more. Cloud & DevOps: Deployment: AWS EC2, Lightsail, S3, SQS, SNS, ECS, AWS SageMaker, Azure AI, GCP Vertex AI Cost-Optimized Scaling: QEMU/KVM, VMs, NixOS, Palumi, Kubernetes, Docker, Serverless (Lambda, Cloud Functions) 🚀 What I Deliver ✅ AI Strategy & Architecture: Design systems that integrate LLMs, agents, and GenAI into your existing or new workflows. ✅ Enterprise-Ready Solutions: Scalable, secure, and compliant deployments. ✅ Cost Efficiency: Reduce cloud spend by 70-90% while maximizing performance. ✅ Rapid MVP Development: From ideation to pitch-ready products in record time. 📩 Message me to discuss app use cases, AI agent design, Web App, Android/iOS App, or your product vision! Technical Highlights: AI Agents, LLM Fine-Tuning, Generative AI, RAG, Autonomous Systems, Python, TensorFlow, LangChain, LangGraph, AWS, Azure, GCP, MLOps, NLP, Chatbots, AI Automation, Vector Databases, AI Consulting, JavaScript/TypeScript, Full-Stack, Front-end, Back-end, Cloud, SQL, NoSQL, Graph database, Docker, Kubernetes, Sandboxing

I’m a Full-Stack Python Developer with expertise in building scalable web applications, real-time APIs, and data-driven platforms. Over the past few years, I’ve designed and delivered solutions ranging from SaaS subscription systems to advanced file-processing pipelines. 🔹 Backend (Python/Flask/Django) REST APIs with JWT authentication & role-based access Real-time updates with Socket.IO & Celery workers File pipelines for PDF, images, and CAD (processing, rasterization, storage) Subscription & payment systems (Stripe integration, tier management) Neo4j (Neomodel) graph-based data modeling 🔹 Frontend (React / Tailwind) Interactive canvases with zoom & labeling tools Clean, responsive dashboards Seamless API integration 🔹 DevOps & Cloud Dockerized apps for easy deployment Redis for caching & background tasks Cloud logging (S3 + Grafana for real-time monitoring) 🔹 Best Practices Unit testing & CI-ready code Service-layer architecture for maintainability Scalable, secure, and production-ready solutions I focus on clean, well-structured code that’s easy to maintain, with clear documentation and long-term scalability in mind. Whether you need a new API from scratch, an integration into existing systems, or a full-stack solution, I can help you deliver it.

I help SaaS founders and CTOs build multi-tenant .NET platforms that scale to millions of users with Azure OpenAI, RAG pipelines, and clean microservices architecture. 9+ years. 4,700+ Upwork hours. 100% JSS. Top Rated Plus. Recent projects: Bondex: Web3 recruiting platform scaled to 5M+ users. I designed and built the .NET backend on Azure with MongoDB, real-time APIs, and high-throughput data pipelines. Trioclick.ai: Digital tendering SaaS on .NET 10 microservices (8 services: Auth, Vendor, Tender, document, Notification, etc.) with a RAG AI layer for semantic search, clause extraction, and gap analysis. Sub-300ms response under load. OmniChat: Cloud-native IoT/OT convergence platform. Multi-tenant, Azure OpenAI + RAG, real-time API mesh, GPT-4o integration. Where I add the most value: SaaS Architecture from scratch or modernization Multi-tenancy, RLS, billing (Stripe), role-based access, CI/CD, observability. I design it right the first time so you're not rebuilding in 18 months. AI integration into existing .NET apps Azure OpenAI, Semantic Kernel, RAG with Azure AI Search or Pinecone, agentic workflows. Built without throwing out your existing stack. Enterprise .NET modernization .NET Framework 4.x → .NET 8/10 + Blazor + Azure App Services. Typical result: 40–60% infra cost reduction, 3–5x deployment frequency. Scalable API & microservices design CQRS, MediatR, Ocelot/YARP gateway, RabbitMQ/Azure Service Bus, Docker, Kubernetes. Event-driven where it makes sense, not as a default. ASP.NET Core · C# · Azure · Blazor · PostgreSQL · SQL Server · MongoDB · Docker · Kubernetes · Azure OpenAI · Semantic Kernel · MediatR · CQRS · RabbitMQ · EF Core · Dapper I am selective about projects I take on. If you need someone to own the architecture decision not just execute tickets, let's talk.

PHP / Core PHP / Custom PHP / CodeIgniter / Laravel / LAMP MySql / MariaDb / MongoDB / Neo4j Javascript / jQuery / Puppeteer / Node.js / Vue.js / React.js / Next.js / React Native Python / Django / Flask / Selenium HTML5 / CSS3 Stripe / Stripe Connect / Paypal / Quickbooks Online Airtable / Smartsheet OpenAI GPT-3 / DALL-E API IoT / MQTT Google Maps / ArcGis D3.js / Chart.js / Echarts / Highcharts / Google Charts / Plotly.js AWS Heroku Firebase GSuite / Google Apps Script / Google Cloud Platform / Google Cloud Functions / Google Cloud Firestore / Google Docs API / Google Sheets API / BigQuery Wix.com / Webflow / Hocoos / Low Code / No-Code / FlutterFlow Qualtrics / SurveyGizmo / Alchemer / SPSS Zapier / IFTTT / Integromat / Make.com / n8n Zoho CRM / Zoho Inventory / Zoho API / Zoho Creator Klaviyo / Pipedrive / Zendesk / Freshdesk / Reamaze / Gorgias / Neon CRM / Arengu / Customer.io / Smartlead / Instantly / EmailBison / GoHighLevel / HeyReach / Woodpecker ShipStation / Shopify Video.js / HLS.js / Dash.js / VAST DRM / Fairplay / Widevine / Playready Android / Java / XML / JSON iOS / ObjectiveC / CoreData / Push Notifications FlutterFlow Windows Powershell Perl / Ruby Facebook API / Twitter API / Tweepy / YouTube API / Instagram API / Mandrill API / Braintree Payments Bitcoin / Cryptocurrency Adobe Animate

⭐ TOP RATED | 100% Job Success | AI Agents, RAG Chatbots, OCR & Document AI I build production-ready AI systems that pay for themselves: I saved a fintech client €40,000/year by automating their KYC pipeline (99%+ extraction accuracy) and cut clinical documentation time by 60% with an AI medical scribe inside a live EMR platform. If you have messy documents, manual workflows, or an agent/chatbot idea that needs to actually work in production — not just in a demo — I can ship it fast without sacrificing accuracy or scalability. WHAT I BUILD 🔹 AI Agents & Multi-Agent Automation — autonomous, decision-making agents with LangChain, LangGraph and CrewAI that automate real backend processes: document review, support, lead handling, internal ops. 🔹 RAG Chatbots & Knowledge Assistants — retrieval-augmented generation chatbots over your PDFs, docs and databases. Hybrid GraphRAG (Neo4j) + vector search for grounded, accurate answers with strict guardrails against hallucination. 🔹 OCR & Document AI — invoice, ID and form data extraction with PaddleOCR, AWS Textract, YOLO and LayoutLM. 99%+ extraction accuracy on IDs, invoices, tables and unstructured documents. 🔹 Healthcare AI & EMR Automation — HIPAA-compliant medical scribes (Whisper speech-to-text, speaker diarization, auto-generated SOAP notes and ICD-10 codes), wound-analysis computer vision, clinical RAG with PII redaction. 🔹 KYC & Identity Verification — document localization, MRZ parsing, ArcFace biometric matching, liveness detection, real-time transaction risk engines. RESULTS CLIENTS PAID FOR - €40K/year saved — automated fintech KYC pipeline (OCR + face match + verification agents) - 60% less documentation time — AI medical scribe running in a production EMR - 40% accuracy uplift — hybrid GraphRAG retrieval for complex financial queries - 10x faster document processing — logistics and finance workflows - Sub-200ms retrieval latency — FastAPI microservices with Redis caching TECH STACK Python, FastAPI, Docker, AWS, GCP | LangChain, LangGraph, CrewAI, OpenAI, Claude, Hugging Face | Pinecone, FAISS, Weaviate, Neo4j, MongoDB, Redis | OpenCV, YOLO, PaddleOCR, Tesseract, LayoutLM | PyTorch, TensorFlow HOW I WORK Fast execution with production discipline: clear milestones, regular updates, clean documented code, containerized deployment. I use modern AI dev tooling (including Claude Code) to ship in days what normally takes weeks — without cutting corners on architecture. If you want an AI system that works in production, send me an invite or message and let's scope it in a quick call. Keywords: AI Engineer, AI Agent Developer, AI Agents, Multi-Agent Systems, RAG, Retrieval Augmented Generation, Chatbot Development, LLM Integration, GPT-4o, Claude, LangChain, LangGraph, CrewAI, OCR, Document AI, Data Extraction, Computer Vision, Healthcare AI, EMR Automation, KYC Automation, Identity Verification, NLP, Python, FastAPI

🎯 Top Rated Plus AI Engineer ✅ $200K+ Earned | 50 Jobs | 4,700+ Hours ✅ 100% Job Success Score ✅ AI Agents | RAG Systems | AWS AI | Full-Stack AI SaaS I build production-grade AI agents, RAG systems, LLM applications, AI chatbots, document intelligence pipelines, and AWS-based AI platforms using LangGraph, LangChain, OpenAI, AWS Bedrock, FastAPI, PostgreSQL/pgvector, Qdrant, OpenSearch, Next.js, and React. I help SaaS companies, startups, agencies, and enterprise teams turn AI ideas into reliable production systems, not just demos, prompt wrappers, or basic chatbots. 𝐖𝐇𝐀𝐓 𝐈 𝐁𝐔𝐈𝐋𝐃: ✓ AI Agents & Agentic Workflows LangGraph/LangChain agents with tool calling, memory, API integrations, human approval flows, structured outputs, and workflow automation. ✓ RAG Systems & Knowledge Assistants RAG over PDFs, Excel files, websites, internal docs, databases, CRMs, support tickets, and knowledge bases with vector search, hybrid retrieval, reranking, citations, and metadata filtering. ✓ AI Chatbots & Customer Support Agents AI chatbots for SaaS, e-commerce, healthcare, finance, education, and internal operations with retrieval, SQL/database lookup, intent classification, escalation flows, guardrails, and analytics. ✓ Document AI & Data Extraction OCR and structured extraction using AWS Textract, AWS Bedrock, OpenAI, S3, validation logic, custom schemas, and human review workflows. ✓ AWS AI / Cloud Architecture Scalable AI platforms using AWS Bedrock, SageMaker, Lambda, ECS/Fargate, EKS, Step Functions, S3, RDS/PostgreSQL, OpenSearch, DynamoDB, API Gateway, and Terraform. ✓ Full-Stack AI SaaS Development End-to-end AI products using FastAPI, Python, Node.js, Next.js, React, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, Supabase, Stripe, and CI/CD. 𝐂𝐎𝐑𝐄 𝐒𝐓𝐀𝐂𝐊: ► AI / LLMs: OpenAI, GPT-4/4o, Claude, Gemini, AWS Bedrock, LLaMA, Mistral, LangGraph, LangChain, LlamaIndex ► RAG / Search: pgvector, Qdrant, Pinecone, ChromaDB, OpenSearch, Elasticsearch, hybrid search, reranking, citations ► Backend: Python, FastAPI, Django, Flask, Node.js, Express.js, NestJS ► Frontend: Next.js, React, TypeScript, TailwindCSS ► Cloud / DevOps: AWS, GCP, Azure, Docker, Kubernetes, ECS, EKS, Lambda, Step Functions, Terraform, CI/CD ► Databases: PostgreSQL, MongoDB, Redis, MySQL, DynamoDB, Neo4j, Memgraph ► Voice AI: Whisper, Deepgram, LiveKit, WebRTC, STT/TTS pipelines ► LLMOps: Langfuse, LangSmith, eval pipelines, latency monitoring, cost tracking, output validation 𝐁𝐄𝐒𝐓 𝐅𝐈𝐓 𝐏𝐑𝐎𝐉𝐄𝐂𝐓𝐒 I am a strong fit if you need: • A production RAG system, not a basic chatbot • An AI agent that uses tools, APIs, memory, and workflows • An AWS-based AI platform or document processing pipeline • A full-stack AI SaaS MVP with backend, frontend, database, and deployment • AI chatbot development with retrieval, guardrails, analytics, and escalation flows • LLM evaluation, citations, tracing, latency optimization, and production reliability Invite me to your project if you need a senior AI engineer who can own the architecture, backend, cloud deployment, and production reliability of your AI system.