Hire the Best Neo4j Specialists

✅ 6+ Years of Java Development Experience ⚡ Full-Cycle Backend Development & Architecture ⚡ AI-Powered Development for Faster Delivery & Better Code Quality 👀 Click Invite or Hire for Scalable Java Backend Solutions Looking for a Java Developer who can build scalable backend systems, SaaS platforms, enterprise applications, and cloud-native solutions designed for long-term growth? For 6+ years, I have hands-on experience taking multiple backend systems from zero to production — covering API design, database modeling, AI/LLM integration, payment systems, and server deployment end-to-end. My primary stack is Java and Spring Boot, with a strong focus on building systems that are clean, maintainable, and ready to scale. What I can do for you: 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 | Java · Spring Boot · Spring MVC · Spring Security · JWT · Design and build RESTful APIs from scratch · Implement authentication & authorization (JWT, Spring Security, role-based access control) · Structure business logic that is clean, testable, and maintainable 𝐀𝐈 & 𝐋𝐋𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 | Claude API · OpenAI · Prompt Engineering · Integrate Claude or OpenAI into real product workflows — not just demos · Build multi-turn dialogue flows and connect model outputs to backend logic · AI-powered automation pipelines and event-driven AI workflows 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐃𝐞𝐬𝐢𝐠𝐧 & 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 | PostgreSQL · MySQL · Redis · Spring Data JPA · Qdrant · Design schemas and data models from scratch · Write complex queries and handle migrations · Performance optimization and caching with Redis · Vector database setup and operations — storing embeddings, similarity search, and retrieval pipelines (Qdrant) 𝐏𝐚𝐲𝐦𝐞𝐧𝐭 & 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 | Stripe Connect · Webhook · Integrate Stripe — subscription tiers, billing cycles, webhook event handling · Build payout logic and third-party payment flows 𝐒𝐞𝐫𝐯𝐞𝐫 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 & 𝐃𝐞𝐯𝐎𝐩𝐬 | DigitalOcean · Docker · Nginx · CI/CD · Linux · Set up and manage production environments · Docker containerization, Nginx reverse proxy, SSL, CI/CD pipelines 𝐓𝐡𝐢𝐫𝐝-𝐩𝐚𝐫𝐭𝐲 & 𝐖𝐞𝐛𝐡𝐨𝐨𝐤 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 | FCM · APNs · OAuth · REST · Connect backend to external services via REST APIs or webhooks · Push notifications (FCM / APNs), OAuth, event-driven automation 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 | Vue3 · Nuxt.js · TypeScript · Tailwind CSS · Work alongside frontend teams or handle supporting frontend work independently · Define API contracts, handle CORS, integrate backend services end-to-end I communicate clearly, deliver on schedule, and am comfortable working independently from requirements through to deployment. Feel free to reach out with your project.

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)

I build AI systems that reason, not just match vectors, From RAG-based chatbots to AI agents powered by Neo4j and OWL-based ontologies. Worked with Mercedes Benz, Philips and QpiAI before to make smart RAG and semantic knowledge systems. Hi, I'm a Ontologist + Graph Engineer with 2+ years of production experience helping startups and enterprises turn complex knowledge into smart, conversational systems Here are some of the things I know how to do: ⦁ LLMs & NLP: Raptor, GraphRAG, prompt engineering, semantic search, vector databases. ⦁ MLOps & Deployment: MLflow, DVC, CI/CD (Jenkins, CircleCI), model ensembling. ⦁ Ontology Engineering (OWL, SWRL, SKOS, Turtle): Crafting rich knowledge graphs with logical reasoning in Protégé. ⦁ RDF & Data Transformation: Structuring raw data into interconnected RDF triples. (JSON-LD, XML) ⦁ Semantic-AI Fusion: Blending symbolic reasoning with neural retrieval strategies like Raptor, Fusion, Query Expansion, Contextual Retrieval, and Re-ranking ⦁ Structured LLM Responses: Ensuring reliable, schema-aligned outputs using Pydantic for validation and API interaction ⦁ Model Integration: Leveraging OpenAI, open Source Models -LLaMA, Gemini and vector databases for efficient hybrid search. If you're building AI that needs to truly understand — not just retrieve — I’d be excited to collaborate.

I'm a Senior Data Engineer with 4.5+ years of experience building scalable, cloud-native data platforms that turn raw data into reliable, business-ready insights. I've delivered enterprise solutions across banking (NAB), healthcare (Molina), and CPG (PepsiCo), specializing in end-to-end pipeline architecture, data modeling, and cloud migrations. What I bring to your project: 🔹 Cloud Data Engineering – Deep expertise in Azure (Databricks, Data Factory, Synapse) and AWS (EMR, Glue, S3, RedShift), with hands-on migration experience from on-prem and Teradata to cloud. 🔹 Pipeline Architecture & ETL – I design and build robust ingestion frameworks handling batch, incremental, and real-time data (Event Hub, Kafka) across formats like JSON, CSV, Parquet, and fixed-width files. 🔹 Data Modeling & Warehousing – Skilled in dimensional modeling, Data Vault, star/snowflake schemas, and silver/gold layer design. I've modeled 50+ tables across Oracle Fusion, SAP S/4, and healthcare domains. 🔹 Transformation & Orchestration – I translate complex business rules into DBT models, orchestrate workflows with Apache Airflow or AutoSys, and automate CI/CD via Jenkins and Azure DevOps. 🔹 Performance & Governance – I tune PostgreSQL and Spark jobs, implement data quality checks, reconciliation frameworks, and ensure compliance with data governance standards. 🔹 Generative AI & MLOps – Databricks-certified in Generative AI, with experience integrating MLflow for experiment tracking and building LLM-based automation using OpenAI and LangChain. Tech Stack: Python | SQL | Scala | Apache Spark | DBT | PostgreSQL | Snowflake | Airflow | Databricks | Azure | AWS | Git | Jenkins | MLflow | Power BI Certifications: Databricks Certified Data Engineer Professional | Azure Data Engineer (DP-203) | Snowflake SnowPro Core | Fabric Analytics Engineer (DP-600) | Generative AI Engineer Associate Whether you need a production-grade pipeline, a cloud migration, or a well-modeled data warehouse, I deliver clean, documented, and scalable solutions — on time and with clear communication. Let's discuss your project!

I don't just write code. I solve the problem behind the problem. WHAT I BUILD - Full-stack SaaS products (React, Next.js, Python, Node.js, Spring boot) — idea to deployment - AI-powered systems: RAG pipelines, semantic search, AI agents, LLM-driven automation - Scalable backend APIs — auth, roles, clean architecture, built to handle real traffic - Real-time systems — live updates, notifications, sync, built on Redis/WebSockets - Internal tools and admin dashboards that teams actually use TECH STACK - Frontend: React, Next.js, TypeScript, Tailwind, Redux - Backend: Node.js, Express, Python, Spring Boot - Databases: PostgreSQL, Supabase, MongoDB, Redis - AI/LLM: RAG, vector search, LangChain, embeddings-based retrieval - Infra: Docker, CI/CD, deployment pipelines ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY CLIENTS CHOOSE ME - I think in systems, not tickets — I build the thing that still works in 6 months - I've shipped AI products end-to-end: ViralBrain (content generation) and NuggetFinder (idea validation) — not tutorials, live products with real users - I optimize for what actually matters: response latency, token cost, and uptime — not just "does the demo work" - I communicate clearly and deliver on time, every time I own the work end-to-end: architecture, security, deployment, handoff - I don't disappear after launch Available 35+ hrs/week | Immediate start | GMT+3 (flexible US/EU) Tell me what you're building let's connect. Available now | Full-stack + AI integration | Fast turnaround

👨‍💻 Full-Stack Developer with 3+ years of experience building scalable web applications, SaaS platforms, and AI-powered products. 🚀 I design and ship end-to-end solutions with React, Next.js, Angular, Node.js, and NestJS — focused on clean architecture, performance, and reliable delivery. 🤖 Recently working on AI/LLM integrations: LangChainJS, LangGraph, RAG pipelines, vector search, and Neo4j for knowledge retrieval. 👯 Open to collaborating on full-stack web apps, SaaS products, and AI-powered features. 🌱 Currently deepening my skills in agent orchestration, RAG optimization, and production CI/CD on AWS & Azure. 💬 Ask me about REST/GraphQL APIs, Keycloak IAM, Redis caching, RabbitMQ, SSR with Next.js, RTL/Arabic UI, and deploying apps with Docker & GitHub Actions.