Hire the Best Neo4j Developers

Lets talk, I provide Courtesy Consultations on Backend Modernization, AI Transformation, and Java/NoSQL/SQL/Oracle/APIs/Microservices/Event-Driven Architecture/Serverless / Edge Computing software stacks. My Upwork scores: Java: 4.65/5.0 (𝐓𝐨𝐩 𝟏𝟎%) DHTML: 4.4/5.0 (𝐓𝐨𝐩 𝟐𝟎%) JSP: 3.9/5.0 (𝐓𝐨𝐩 𝟏𝟎%) ✍️ I’ve 𝐚𝐮𝐭𝐡𝐨𝐫𝐞𝐝 𝟐𝟎𝟎+ 𝐛𝐥𝐨𝐠𝐬/𝐚𝐫𝐭𝐢𝐜𝐥𝐞𝐬 𝐨𝐧 𝐀𝐈, 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠, 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬, 𝐄𝐓𝐋, 𝐚𝐧𝐝 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬; helping startups grow rapidly through impactful technical writing. 🔦 My writing highlights product USPs, use cases, and ROI, showcasing their integration within software ecosystems. 🚀 𝐈 𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞 𝐢𝐧:- 📈 Helping businesses modernize, optimize, and fix their Java systems — to ensure enhanced security, increased performance, better performance and scalability, removing legacy architecture to leverage latest technological innovations. 🔯 Software Architecture 👨‍💻 Solving hard technical problems, resulting in better user experience and increased ROIs, with clear engineering documentation & run books. 🌌 Re-engineering, debugging, and enhancing projects 🔓Customizing open-source applications, orchestrations and complex databases. 📖 An enthusiastic learner, I quickly grasp new concepts and thrive in diverse teams across geographies. 🤹🏽 My skills include: 🌟 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝗵𝘁𝘂𝗿𝗲 🌟 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Hands-on with SOAP/REST APIs 🌟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Tuned large-scale, highly complex, and concurrent databases, 𝗥𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝗮𝗹 | 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 | 𝗡𝗼𝗦𝗤𝗟 | 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 systems 🌟 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗥𝗲-𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 : Successfully enhanced, debugged and augmented existing systems 🌟 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 🌟 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 & 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Built statistical/graphical reports using JFreeChart, ChartJS, HighCharts, and Google Charts. 🌟 𝗠𝗮𝗽𝗽𝗶𝗻𝗴 & 𝗠𝗮𝘀𝗵𝘂𝗽𝘀: Expertise in Google APIs for interactive mapping solutions. Thank You 😊❣️

AI Engineering Lead and PhD researcher in AI/ML, certified in Claude by Anthropic. I design and ship production systems built around Claude: agents, RAG pipelines, and automations that actually make it to deployment Over the past 7 years I've helped more than 20 companies put AI into production across the US, Europe, and the Middle East. I've led engineering teams at startups large and small, and I bring a consistent track record as a high performer on the work I take on I post regularly on Medium, X, and YouTube on the latest in AI, ML, and tech, which keeps me on top of how fast the field moves, with an audience of over 10,000 across platforms. I share this work publicly partly because teaching a thing is the best test of whether you understand it What I build: - RAG chatbots and agents over your documents, PDFs, Notion, and knowledge bases - LLM fine-tuning on your domain data - Workflow automations that replace 40–80% of manual operations - Solution architecture, so you commit to the right stack the first time - Recovery work on stalled or underperforming AI projects Send over the project and I'll reply the same day with a plan, a clarifying question, or an honest pass

Senior Python engineer building large-scale web scraping systems, reliable APIs, and LLM/RAG data pipelines that run in production — tested, monitored, and built to last. 🏆 Top Rated Plus (top 3%) · $300K+ earned · 7,400+ hours billed ━━━━━━━━━━━━━━━━━━━━━━ RECENT PRODUCTION RESULTS 🌍 Built and operate a scraping platform covering 20+ sources behind enterprise anti-bot protection (Cloudflare-class WAFs, residential proxy rotation, fallback transport chains) — 225K+ documents collected, 30+ scheduled pipelines running daily without babysitting. 💳 Built a rewards-data aggregator scraping 30+ retail and banking sources — 60K+ fresh offers per day, normalized into one schema and served through a load-balanced API at 105+ requests/sec. 🤖 Turned scraped-document chaos into structured data with a RAG extraction system (LLM + Pinecone) over 100K+ documents — measured accuracy up from 33% to 84%, every AI output traceable to its source. ━━━━━━━━━━━━━━━━━━━━━━ WHAT I DO ✔️ Web scraping & data extraction — Playwright, Selenium, Scrapy; resilient access to protected sources, proxy management, scheduled fleets via Celery, PDF/Excel/Word extraction, normalization into clean schemas ✔️ LLM & RAG backends — OpenAI/Anthropic APIs, Pinecone, vector search, structured extraction from messy documents, accuracy evaluation, cost & latency optimization ✔️ API development — FastAPI, Flask, Django; auth, rate limiting, background jobs, clean documentation ✔️ Distributed systems — Celery, RabbitMQ, Redis; retries, idempotency, fault tolerance under real load ✔️ Production ops — Docker, AWS, PostgreSQL/MongoDB/Neo4j, zero-downtime migrations, CI with 2,000+ tests per project ━━━━━━━━━━━━━━━━━━━━━━ HOW I WORK ✅ I own systems end-to-end: architecture → implementation → deployment → monitoring → handover docs. ✅ Scrapers that keep working: per-source error recovery, alerting, and proxy fallbacks — not scripts that die in a week. ✅ I'll tell you when an LLM is the wrong tool — and what to use instead. ✅ Most of my $300K+ comes from repeat clients and multi-year engagements. ━━━━━━━━━━━━━━━━━━━━━━ If you need scraping infrastructure that survives contact with real anti-bot systems, an API that holds up under load, or an LLM pipeline with measurable accuracy — send me a message with a couple of lines about your project and I'll tell you straight away whether I'm the right fit.

I help SaaS founders and CTOs build multi-tenant .NET platforms that scale to millions of users with Azure, RAG pipelines, n8n automation, 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 · Semantic Kernel · MediatR · CQRS · RabbitMQ · EF Core · Dapper · n8n I am selective about projects I take on. If you need someone to own the architecture decision not just execute tickets, let's talk.

𝗜 𝗯𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗿𝗲𝗮𝗱𝘆 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗽𝗮𝘆 𝗳𝗼𝗿 𝘁𝗵𝗲𝗺𝘀𝗲𝗹𝘃𝗲𝘀: I saved a fintech client €𝟰𝟬,𝟬𝟬𝟬 𝗽𝗲𝗿 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 or 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) plus 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 𝗽𝗲𝗿 𝘆𝗲𝗮𝗿 𝘀𝗮𝘃𝗲𝗱: automated fintech KYC pipeline (OCR plus face match plus 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

I’m a senior AI systems and full-stack engineer with deep experience designing, building, and shipping production AI products end to end. I specialize in turning complex ideas into reliable, scalable systems that actually work in the real world. My background spans AI/ML pipelines, backend systems, and modern web applications. I’ve led and contributed to projects involving large language models, multimodal analysis (video/audio), RAG architectures, automation pipelines, and subscription-based SaaS platforms. I’ve worked both as a freelancer and as a lead engineer on internal AI products used by real customers at scale. What I do best is bridge the gap between research and production. I don’t just prototype. I design systems that handle edge cases, cost constraints, performance targets, and long-term maintainability. That includes API design, data modeling, infrastructure decisions, and clear handoffs to frontend or product teams. Core strengths: → AI, Agents & LLM Systems: RAG pipelines (LangChain, Pinecone), Model Context Protocol (MCP), OpenAI/Gemini/Whisper, and custom evaluation frameworks. → Backend Engineering: Java Spring Boot, .NET, Python, Ruby on Rails, Node.js, PHP. → Workflow Automation: Complex orchestration using n8n and Zapier to connect AI agents with business logic. Full-Stack Apps: React, Next.js, TypeScript, .NET, Java, PHP, Ruby on Rails, Supabase, Stripe, and secure authentication flows. Data & Infrastructure: Postgres, MySQL, Docker, AWS, and CI/CD pipelines. I’m especially strong in AI products that involve: ✓ Advanced RAG: Retrieving context from complex datasets (PDFs, Databases) for accurate LLM responses. ✓ Multimodal Analysis: Processing Text, Audio, and Video inputs. ✓ Structured Outputs: ensuring JSON reliability and strict evaluation logic. ✓ Cost-Aware Workflows: Optimizing token usage and latency. ✓ Human-in-the-loop Systems: Designing approval flows for critical AI tasks. Clients hire me when they need someone who can think like an engineer, a product owner, and a business operator at the same time. I ask the right questions up front, communicate clearly, and deliver systems that are built to last. If you need help designing a robust RAG system, stabilizing a backend, shipping a full product, or untangling an automation workflow that’s gotten too complex, I can help. Happy to jump on a call and talk through your problem before writing a single line of code.