Hire the Best Neo4j Specialists

I build production-grade GenAI systems for Fortune 500 enterprises including Verizon and PNC, : AI agents, RAG platforms, semantic layers, knowledge graphs, text-to-SQL/NLQ systems, and full-stack AI applications. I have 9+ years of experience across machine learning, computer vision, NLP, backend engineering, and full-stack product development. Recently, I have led large engineering teams building enterprise AI platforms for telecom and banking use cases. What I can help you build: • AI agent systems using LangGraph, LangChain, MCP, A2A, FastAPI, and custom tool orchestration • RAG applications over documents, databases, knowledge bases, and enterprise data • Semantic layers and ontology-driven systems for analytics and GenAI use cases • Text-to-SQL / natural language database querying over Postgres, BigQuery, and Teradata • Knowledge graph RAG using Neo4j, vector databases, metadata extraction, and domain modeling • Full-stack AI SaaS products with Python, React, Next.js, Docker, Kubernetes, and cloud deployment • LLM fine-tuning, evaluation, prompt engineering, retrieval evaluation, and hallucination reduction Relevant achievements: • Led a 14-member team to build an asynchronous, extensible, A2A-compliant agentic framework for enterprise troubleshooting. • Reduced ticket resolution time in a production troubleshooting workflow from days to minutes. • Built and deployed hundreds of tools across multiple MCP servers. • Led a 12-member team to build a natural language query platform for enterprise databases. • Improved NLQ accuracy using domain modeling, metadata generation, and knowledge graph traversal. • Built an ontology-powered Knowledge Graph RAG platform over unstructured enterprise data. • Co-founded and scaled an AI video translation/dubbing product from $0 to $100k revenue in 6 months. • Built computer vision systems deployed across industrial locations in India and Europe. Tech stack: Python, FastAPI, LangChain, LangGraph, LlamaIndex, OpenAI, HuggingFace, PyTorch, PEFT/LoRA, React, Next.js, Postgres, BigQuery, Neo4j, Pinecone, Docker, Kubernetes, ArgoCD, GCP, AWS, PySpark, Airflow. I am best suited for clients who need more than a prototype. I can help you go from ambiguous AI idea → system design → implementation → deployment → evaluation → production hardening.

⭐⭐⭐⭐⭐ Senior AI Engineer | Production 𝐑𝐀𝐆, 𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡 | 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐀𝐖𝐒, 𝐂𝐥𝐚𝐮𝐝𝐞 I'm a AI Systems Engineer and Senior Python Backend Engineer with 8+ years of backend development experience, specializing in LangGraph, advanced multi-agent workflows, and production-grade Agentic RAG. I help business unlock the value of their private data by building custom AI systems that are accurate, secure, resilient, and production-ready. Unlike generic ChatGPT wrappers, my solutions ground frontier LLMs like Anthropic Claude and OpenAI in your own documents and databases - eliminating hallucinations, enabling complex agentic reasoning, and ensuring answers are traceable to source material. I've delivered robust RAG pipelines for legal tech, healthcare, e-commerce, and internal enterprise knowledge bases. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 - 𝐄𝐧𝐝‑𝐭𝐨‑𝐄𝐧𝐝 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 ➤ Core stack: Python + LangGraph / LangChain / LlamaIndex + Vector DB (Pinecone, ChromaDB, FAISS) + OpenAI / Claude + AWS (Bedrock, Lambda, S3, ECS) ➤ Typical project scope includes: ○ Multi-Agent Workflows: Build complex, stateful, and cyclical LLM applications using LangGraph for advanced decision-making and tool use. ○ Ingestion pipeline: Parse PDFs, Word docs, HTML, markdown, Slack exports, Confluence, Notion, or database dumps. ○ Smart chunking & embedding: Semantic chunking, overlap strategies, and embedding with text-embedding-3, Cohere, or open‑source BGE models. ○ Hybrid retrieval: Combine vector similarity (dense) with BM25 keyword search (sparse) + cross‑encoder re‑ranking for maximum precision. ○ Generation with source grounding: Prompt engineering to force citations, confidence scores, or fallback responses when data is insufficient. ○ Conversational memory: Chat history summarization, session management, and multi‑turn RAG for assistants that remember context. ○ Caching & optimization: Semantic caching (GPTCache), embedding caching, and async retrieval to reduce latency and token costs. ○ Evaluation & observability: RAGAS, TruLens, or custom metrics - context relevancy, answer faithfulness, recall, and latency tracking. 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫 e & 𝐀𝐖𝐒 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 - 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐑𝐞𝐚𝐝𝐲 ➤ I don't just write scripts - I build secure, scalable, serverless or containerized backends. Every AI system I deliver is: ○ Containerized with Docker - Reproducible environments. ○ Deployed on AWS - Using API Gateway + Lambda (serverless inference), ECS/Fargate (for long‑running jobs), S3 (document storage), RDS/DynamoDB (metadata), and Bedrock (for enterprise-grade cloud LLMs like Claude). ○ Secure by design - API keys managed via Secrets Manager, IAM roles, VPC isolation, and rate limiting. ○ CI/CD ready - GitHub Actions or GitLab CI for automated testing and deployment. ○ Monitored - CloudWatch logs, X‑Ray tracing, and custom dashboards for usage, latency, and cost tracking. ➤ Example architectures I've delivered: ○ Agentic Customer Support System - Built with LangGraph, utilizing custom tool-calling for CRM integration and automated ticket resolution. ○ Chat‑over‑PDFs for a law firm - 10,000+ documents, sub‑second retrieval, Claude 3.5 Sonnet + Pinecone serverless on AWS Lambda. ○ Semantic product search for an e‑commerce store - hybrid search (FAISS + BM25) with re‑ranking, deployed on ECS. ○ Internal company FAQ bot - Slack‑integrated, using ChromaDB and OpenAI, with conversation memory and admin feedback loop. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐓𝐨𝐨𝐥𝐛𝐨𝐱 (𝐧𝐨 𝐭𝐚𝐛𝐥𝐞𝐬 - 𝐜𝐥𝐞𝐚𝐧 𝐥𝐢𝐬𝐭𝐬) ○ Languages & Frameworks: Python (advanced) | TypeScript (basic) | FastAPI | Django REST | Flask | GraphQL ○ LLM & RAG Frameworks: LangGraph | LangChain | LlamaIndex ○ Vector Databases: Pinecone | ChromaDB | FAISS | Qdrant | Weaviate | Milvus ○ LLM Providers & Models: Anthropic Claude | OpenAI | Google Gemini | Groq | Together.ai | LLaMA 3 | Mistral | Mixtral | Zephyr (via Ollama, vLLM, HuggingFace) ○ Embedding Models: OpenAI Ada | text‑embedding‑3‑small/large | Cohere | Voyage | BGE | Instructor ○ AWS Services (primary cloud): Lambda | API Gateway | ECS/Fargate | S3 | Bedrock | RDS (PostgreSQL with pgvector) | DynamoDB | Secrets Manager | CloudFront | CloudWatch ○ Other Cloud Options: Google Cloud (Vertex AI, Cloud Run) | Azure (AI Search, OpenAI) ○ Databases & Caching: PostgreSQL (pgvector) | DynamoDB | Redis | GPTCache ○ DevOps & Testing: Docker | GitHub Actions | Terraform (basic) | pytest | RAGAS | TruLens | DeepEval | LangSmith ○ UI for Demos: Streamlit | Gradio | Chainlit 𝐋𝐞𝐭'𝐬 𝐖𝐨𝐫𝐤 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫 If you need a reliable, backend-first, AWS‑savvy AI Systems Engineer who writes clean Python and delivers real business value, let's talk.

HI, I build AI systems with structured knowledge (graphs) for complex domains (OSInt, RealState, Legal, Finance) Experienced Data Scientist with a Master’s degree in Economic Cybernetics, specializing in cutting-edge machine learning, artificial intelligence, and graph-based technologies. My passion lies in creating innovative solutions that leverage data to drive actionable insights and improve business outcomes. What I Offer: Extracting and structuring values, insights from your data (documents, signals, networks). Advanced Algorithm Development: I feel strong in building algorithms that push the boundaries of traditional analytics. With a strong foundation in graph neural networks and machine learning, I can develop models that the world has never seen before. Data Structuring and Clarity: When you're ready to enhance the structure and clarity of your data, I can integrate GA4 and GTM to provide a comprehensive view of your client flow and improve data accuracy. Predictive Analytics and AI: My expertise in machine learning and AI enables me to provide forecasts and predictive models that can anticipate future trends and partner behaviors. I focus on understanding complex patterns and anomalies to offer valuable insights. Graph Database Solutions with Neo4j: As an active proponent of Neo4j, I can handle a wide range of tasks including: Installation and configuration on various platforms (Linux, Windows, Mac, AWS) Creating and managing knowledge graphs from diverse text documents Migrating data from CSV files using Cypher queries Performing complex queries and data analysis, including finding shortest and cheapest paths, and identifying popular nodes Developing applications such as social networks and fraud detection systems Statistical Analysis and Data Science Expertise: Proficient in multi-variable regression, Monte Carlo simulations, and statistical characterization of time series data. I can help you identify trends, predict future values, and prioritize work based on common property characteristics. Why Choose Me: Innovative Thinking: I am driven by the challenge of solving complex problems and providing innovative solutions that make a difference. Collaborative Approach: I love working with people and creating comfortable conditions that foster effective collaboration and communication. Proven Track Record: My background includes successful projects ranging from social networks for stock trading to cyber security fraud detection systems. If you are looking to bring more structure to your data, build advanced algorithms, or leverage Neo4j for your graph-based projects, I am here to help. Let’s discuss how my expertise can contribute to your project’s success! Looking forward to the opportunity to work with you. Best regards, Konstantin. Skills: Excel Graph Neural Networks Neo4j & APOC Functions Machine Learning (TensorFlow, PyTorch) Data Science Libraries (Pandas, NumPy, Scikit-learn) Creating Knowledge Graph (with RAG, GenAI) GA4 & GTM Integration Predictive Analytics Statistical Analysis Multi-variable Regression Monte Carlo Simulations Data Visualization (Matplotlib, Seaborn, Plotly)

💡 Whether you need a new product built from scratch, help with cloud infrastructure, or expertise in digital signatures and security, I can help you deliver results. I bring together strong backend development skills with solid DevOps and cloud expertise, so you don’t just get code — you get a solution that’s ready for real-world growth. What I Can Do for You 💻 Software Development - Build robust back-end systems using Java or Python, Golang - Deliver production-ready APIs with Spring Boot, Django, Flask, FastAPI - Develop and customize enterprise platforms — including Warehouse Execution Systems (WES) and Warehouse Control Systems (WCS) at Fortna, covering order orchestration, inventory management, and integration with conveyors, sortation, and robotics in automated fulfillment centers 🤖 AI Agents & Automation - Design and build AI agent workflows that automate real business processes — data extraction, document processing, customer support, internal tooling, and reporting - Use AI tools (Claude, Cursor, Codex, LangChain-style orchestration) to ship products faster and reduce manual workload - Build custom integrations connecting AI agents to your existing systems (databases, APIs, internal dashboards) so automation actually fits into your workflow, not bolted on top of it 🗄 Databases & Data Engineering - Design and optimize databases (MySQL, MongoDB, Neo4j, Redis) - Build ETL pipelines and data warehouses (on-premise or cloud) - Web scraping & data processing with Selenium, BeautifulSoup, Scrapy, Airflow, Dagster, Playwright, ... ☁️ Cloud & DevOps - Deploy and manage apps on AWS and GCP - Automate infrastructure with Terraform - Ensure scalability with Kubernetes (K8s) - Set up monitoring dashboards with Prometheus & Grafana 🔐 Security & Digital Signatures - Implement digital signature workflows (PDF signing, PKI, CSC API) - Expertise with tools like iText, PDFBox, pyHanko, DSS Framework - Integrate cryptography & HSM solutions for compliance and security Why Clients Choose Me ✅ I don’t just code — I design, implement, and maintain full solutions. ✅ Strong focus on scalability, reliability, and security. ✅ Experience across product development, infrastructure, and consulting. ✅ Flexible: can work as a hands-on engineer or a technical consultant/partner.

🚀 FREE 30-MIN ARCHITECTURE REVIEW LEAD SOFTWARE ARCHITECT 🚀 • 15+ YEARS IN BUSINESS • CONCIERGE-LEVEL SERVICE • 70+ Happy clients • ✅ 𝘈𝘷𝘢𝘪𝘭𝘢𝘣𝘭𝘦 from June 26th Welcome! Do you want to work with GoDaddy Senior Dev, Pfizer AI Engineer and a former Gartner Principal Engineer? I specialize in software architecture, Neo4j graph databases, and full-stack engineering across Node.js, Ruby on Rails, Python, and React. I have been building high-performance products since 2008. In 2015, I founded Sacred Graph, and now my team and I deliver complex SaaS MVPs 10x faster by leveraging AI-driven development. Proud to have founded and launched multiple personal and clients' startups, taking them from raw idea to market-ready production. As the CEO of SacredGraph, I personally take responsibility for: - Estimate scope, WBS, KPI identification, and milestone planning for PoC, MVP, and Production. - Design scalable, secure systems and identify neurosymbolic AI capabilities. - Lead a specialized team of engineers and perform 100% code reviews before delivery. 𝗛𝗼𝘄 𝘆𝗼𝘂 𝗰𝗮𝗻 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝘂𝘀: Starting from scratch? Get a full-cycle development from the first line of code to global launch. Ongoing project with your team? Our architects join your squad to solve "impossible" technical bottlenecks and provide training if needed. Got a stalled project? We fix, finish, and optimize legacy or stuck codebases to production standards. You get rights to 100% of the code. CTO option is available. Further retaining service is always provided :) 𝗛𝗼𝘄 𝗜 𝗲𝗻𝘀𝘂𝗿𝗲 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆: 15+ Years Experience: Deep roots in Java, Ruby, and Python across Hospitality, Fintech, Healthcare and more. Certified Graph Data Science expert. Leader of a team of engineers at SacredGraph. Agentic Engineering: Using Cursor/Claude and spec-driven development to cut development time by 50% without sacrificing quality. Roadmapped Success: Every project starts with a written roadmap for PoC, MVP, and production (Architecture + Time/Cost). You get a personal project manager and access to all tasks for clarity in ClickUp. 𝗪𝗲 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝗱 𝗶𝗻: - Graph Databases. Deep Neo4j expertise, semantic web, and complex relational-to-graph data modelling. Ontologies and highly accurate pipelines with 99% accuracy rates. - AI & Machine Learning. AI Agentic engineering, LLM workflows, and Neurosymbolic AI. - SaaS MVPs. Rapid prototyping and scaling for startups with a focus on business KPIs. Working under pressure with a consultancy on raising investment funds. - Enterprise Solutions. High-load architectures, microservices, and secure cloud deployments. - Healthcare & Fintech. HIPAA-compliant architectures and secure payment integrations (Stripe). 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝘄𝗲 𝘂𝘀𝗲 𝗱𝗮𝗶𝗹𝘆: - Languages: Java, Ruby, Python, TypeScript. - AI Stack: Agentic Engineering (Cursor, Claude), OpenAI API, LLM-based automation. - Frontend: React.js, Vue.js, Node.js. - Databases: Neo4j, PostgreSQL, Supabase, MySQL, MongoDB, Redis. - Cloud & Infra: AWS, GCP, Alibaba, Terraform, Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins). - Strategy: Event-driven architecture, SDK/Framework design, TDD, Well-Architected Framework (cloud). Our preferred locations: US, UK, Ireland, EU, Middle East (HQ in Dubai). 𝗖𝗹𝗶𝗲𝗻𝘁 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸: “Sacred Graph delivered on time, high-quality thinking, and work outputs. The team had a high pace of work and quick scaling of group knowledge development. Their project management was very strong and everything was on point.” — Co-Founder, Enterprise Semantic Platform (Clutch Review) 𝗪𝗿𝗶𝘁𝗲 𝘁𝗼 𝗺𝗲 𝗵𝗲𝗿𝗲 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸, share your vision, and I’ll get back to you with a roadmap and the fastest safe path to production. Thank you! With best regards, Maxim

🚀 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 | 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 | 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 | 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 | 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 | 𝗔𝗜 𝗦𝗮𝗮𝗦 & | 𝗔𝗜 𝗔𝗽𝗽 𝗗𝗲v𝗲𝗹𝗼𝗽𝗲𝗿 🏆 Top Rated 👨‍💻 𝘈𝘷𝘢𝘪𝘭𝘢𝘣𝘭𝘦 immediately ✅ 100% Job Success 🚀 On-time Delivery I design and develop intelligent AI-powered applications that automate business processes, improve decision-making, and enhance customer experiences. With expertise in Python, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, SaaS platforms, and cloud technologies, I build scalable solutions from concept to production. My experience includes developing AI chatbots, multi-agent systems, document intelligence platforms, recommendation engines, predictive analytics solutions, workflow automation tools, and enterprise SaaS applications. I specialize in integrating OpenAI, Claude, Gemini, and open-source LLMs with modern backend architectures using FastAPI and cloud infrastructure on AWS. From data collection and model training to deployment, monitoring, and optimization, I deliver end-to-end AI solutions that help businesses reduce operational costs, increase efficiency, and unlock valuable insights from their data. 🎯 Core Skills ✔ Artificial Intelligence (AI) ✔ Machine Learning (ML) ✔ Generative AI ✔ Large Language Models (LLMs) ✔ Retrieval-Augmented Generation (RAG) ✔ AI Agent Development ✔ Multi-Agent Systems ✔ Prompt Engineering ✔ Natural Language Processing (NLP) ✔ Deep Learning ✔ Predictive Analytics ✔ Data Science ✔ SaaS Development ✔ Backend Development ✔ API Development ✔ Workflow Automation ✔ Cloud Computing ✔ MLOps ✔ Data Engineering ✔ Dashboard & Reporting ⚙️ Tech Stack ➤ Programming Languages Python, React, Node.js, Django, Flask, FastAPI, Next.js, jQuery, SQL, JavaScript, TypeScript, HTML, CSS ➤ AI & Machine Learning OpenAI GPT, Claude, Gemini, Llama, LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, TensorFlow, PyTorch, Scikit-Learn, XGBoost ➤ RAG & Vector Databases Pinecone, Weaviate, ChromaDB, FAISS, Qdrant, Elasticsearch ➤ Backend Development FastAPI, Flask, Django, REST APIs, GraphQL, WebSockets ➤ Databases Development PostgreSQL, MySQL, MongoDB, Redis, Airtable, DynamoDB, Neo4j, Elasticsearch, OpenSearch ➤ Cloud & DevOps AWS, Docker, Kubernetes, Terraform, GitHub Actions, CI/CD Pipelines, Linux ➤ Data Visualization Power BI, Tableau, Looker, Kibana, Grafana, Elasticsearch, Streamlit, Plotly, Dash, R ➤ Automation & Integration OpenClaw, Zapier, Make, n8n, Apache Airflow, Pipedream, Celery ➤ CRM & Sales Automation HubSpot, Salesforce, GoHighLevel (GHL), Pipedrive, Zoho CRM, Streak CRM ➤ Communication Automation Twilio, SendGrid, Gmail API, Outlook API, Slack, Microsoft Teams, WhatsApp Business API 🏢 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦 Healthcare, Finance & FinTech, E-commerce, Real Estate, Education, Legal Tech, Marketing & Sales, Logistics & Supply Chain, Human Resources, Customer Support, Manufacturing, SaaS Startups & Enterprises I offer 𝟯𝟬 𝗺𝗶𝗻 𝗽𝗮𝗶𝗱 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻𝘀 for AI architecture review, build vs. buy decisions, and MVP scoping. ━━━━━━━━━━━━━━━━━━━━━━━ 💬 LET’S BUILD ━━━━━━━━━━━━━━━━━━━━━━━ 👉 Send me a message — I’ll help you design and build it the right way.