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I am an experienced Go Software Engineer with 9 years of industry experience, mainly working on Backend Development and scalable architecture/cloud-native solutions. My competence is in creating fast, high-performance applications using Golang and integrating modern technologies such as Docker, Kubernetes, and AWS into systems that scale effortlessly. I excel in the following skills: - Backend Development: Developing Microservices, APIs (RESTful, GraphQL, gRPC), and database-driven applications. - Cloud Technologies: Design reliable and cost-efficient infrastructure deployments on AWS, GCP, Azure or other cloud platforms. - High Load & Scalability: Architecting systems for millions of users and data points without a single hitch. - DevOps Integration: The main goal is to provide smooth pipelines of CI/CD by automating deployments with Terraform, Docker, and Kubernetes. - Blockchain & Smart Contracts: Developing decentralized solutions with Go, Solidity, Rust, and Ethereum. Key Highlights : - Delivered cloud processing solution for industrial IoT devices, enhancing system performance by 20,000%. - Successfully designed and deployed a complex management platform for a transportation system, highly appreciated by clients due to its reliability and speed. - Single-handedly delivered mobile advertising network with throughput capabilities of 1300 RPS. - Experience working with cross-functional remote teams to deliver under tight deadlines. Why Hire Me? I bring a wealth of experience in technology working for your business needs and understanding the exact translation of your needs and problems into solutions. My proactive communication and dedication to quality help me bring value to every project. Let’s build something amazing! 🛠️🚀 Last updated 04-08-2026

One engineer. Whole product. I build AI systems that ship — RAG pipelines, LLM agents and chatbots on OpenAI, Anthropic Claude and AWS Bedrock — plus full-stack SaaS in Next.js, Python and NestJS. From the AI strategy call to the running system in production. I'm a senior full-stack engineer with a decade of shipping behind me, and over the last few years, AI integration has become the part of the work I'm most useful at. Not as a prompt engineer or a deck-and-disappear consultant, but as the person who sits in a discovery call, understands your product and workflows, identifies where a model, an embedding store or an agent actually moves the needle, and then builds it. Same pair of hands, all the way through. That's the part most teams are missing right now. AI consultants who can't ship. Engineers who can ship but can't tell you whether the LLM is the right answer in the first place. I do both, and the value is in not splitting them apart. How engagements usually start Most projects start with a call. You tell me what you're trying to build or where you're stuck, I ask questions, and we figure out together whether AI is actually the right answer, and if so, what the smallest useful first step looks like. Sometimes that's a one-page plan and an estimate. Sometimes it's a longer paid discovery if the product is complex enough to warrant it. Either way, I'll tell you honestly when an LLM is the wrong answer. That's part of the value of talking to someone who builds these systems, not just advises on them. What I build – AI & LLM integration · OpenAI, Anthropic Claude, Vertex AI, AWS Bedrock, LangChain, LangGraph. RAG systems, chatbots, agentic workflows, prompt and eval pipelines, embeddings, vector stores. Production-grade, not demos. – Frontend · React, Next.js, Angular, TypeScript. Component-driven UIs, accessibility, performance, built to stay fast at year three. – Backend · NestJS, Express, Python (FastAPI / Django). REST and GraphQL APIs, event-driven systems, queues, background workers. – Data · PostgreSQL, MySQL, MongoDB, vector databases. Schema design, indexing, query plans, the unglamorous parts that decide whether the app holds up under real load. – Cloud & DevOps · Azure, AWS, GCP. Kubernetes, serverless, Terraform / Bicep, CI/CD on Azure DevOps and GitHub Actions. Zero-downtime deploys. – Integrations · Stripe, Firebase Auth, Azure AD B2C, messaging, analytics, wired in cleanly, failure paths covered. How I work Direct, written-first, async-friendly across timezones. Long-running, end-to-end engagements are where I do my best work. I plug in, learn the product, and keep it moving. I take on unfamiliar stacks and domains on purpose. That's usually the part I want. If you've got something ambitious, an AI feature you're not sure how to scope, a product that needs to ship with AI baked in from day one, or a vague idea you need someone to think through honestly before writing any code, let's talk.

I have been working in the IT sector in several positions over the last 25 years. I am interested in various IT fields: - AI: LLM, NLP, RAG, Generative AI (ChatGPT, GPT-Neo, BERT, LLama, Gemini, MS Copilot, Claude AI, Mistral, Falcon, Bard, Codex, CodeGen), AI/ML Tools (Open AI APIs, Pytorch, Tensorflow, Hugging face), AI Agents (Conversational AI, chatbots, Rasa, Langchain, Task automation, RPA), Multimodal AI (TTS, Speach, Image, video Recognition), model training, fine tuning, Lisp, Matlab neural networks, Prolog. - Digital Audio/Video Broadcasting, streaming, Image/Audio/Video Processing, HLS/DASH/RTSP/RTMP, WebRTC, Live, VoD, DRM. · Architectures : Infrastructure/Networks/Cloud/Virtualization · DevOps, Services, Microservices, APIs · Project Management · Security · Content Management & Design PMI Project Management and BIZZDesign Architect certifications Infrastructure, Operating Systems, Virtualization, Cloud Computing: - Physical and Virtual Machines, System redundancy/Fail-over/Load Balancers/High Availability, Clusters, Fault Tolerance, Reliability, Recovery RPO/RTO, Oracle Exadata, Distributed Transactions and Coordination, DHT, P2P overlays, Recovery, Migrations, SAN/NAS, Kubernetes, Docker, Container Orchestration, Ansible, API, SOA, Microservices. - Windows NT/2003/2008 Server, Linux (Ubuntu/Red Hat/CentOS), Solaris 9/10, VMWare, ESX, VMotion, Oracle Virtual Box, Hyper-V. - Amazon AWS: EC2, S3, EBS, AMI, ELB, Elastic IP, Cloudfront CDN, CloudWatch, Autoscaling, Lambda, Fargate, Cloudtrail, ECS, EKS, IAM, EC2 API tools. VPC, VPN, SAAS, IAAS, PAAS architectures and middleware. - MS Azure : VM, Service fabric, Blob, Backup, Queues, Functions, CDN, DNS, VPC IP Networks, Broadcasting: TCP/IP, Cisco CCNA/CCNP ACI, DVB S/S2/T/T2/C/H, IPTV, OTT, Network Security and Monitoring, Protocol/Packet Analyzers, DNS/DHCP/SMTP/HTTP Servers, Streaming Servers, CDNs, Streaming Audio/Video/Live/OnDemand, Multicast, Adaptive Streaming, Apple HLS/M3U8, HTTP Dynamic Streaming, Smooth Streaming, H.264/H.265, MPEG-4 standard, DRM, Conditional Access, DVB PSI/SI Tables, DVB Headends, STBs Security, Reliability and Distributed systems: Secure transactions and sessions, SSL, Cryptography, Digital signature, Symmetric and asymmetric keys, DES, RSA, Session keys, Fault Tolerance, Fault Avoidance, Reliability, Scalability, Distributed Transactions and Coordination, Microsoft Windows Clusters, Linux GFS, NAS and ISCSI initiators, IBM DS300 NAS network , Fail-over and Fail-back systems, Gigabit Ethernet switches, Redundant network topologies, Switch redundancy, Teaming adaptors, Raid arrays, Data Center Equipments, Legato backups Programming languages: C/C++/Prolog/Lisp/Pascal/Fortran/.NET/C#/PHP/Perl/Cobol/Assembler/Java/J2SE/J2ME/JMF/Python Database Design & Management: SQL Server, MySQL, PostgreSQL, Microsoft Access Protocols, Standards & Tools: FFmpeg MPEG4/H.264/HEVC/RTP/RTSP/RTMP/UDP, Transcoding, Spatial-Temporal Scalability, Video Objects/Shape Coding, Labview, Matlab/Simulink

I'm a full stack developer who builds AI SaaS platforms, and I take over scaling codebases when real user traffic starts breaking them. 10+ shipped in the last year, mostly Next.js and React on the front, Node or Python behind that, Postgres and Supabase underneath, Stripe wherever there's billing, and OpenAI, Claude or OpenRouter wherever the AI earns its place, usually RAG over the customer's own data. 𝗦𝗲𝗻𝗱 𝗺𝗲 𝘁𝗵𝗲 𝗿𝗲𝗽𝗼, 𝘁𝗵𝗲 𝗨𝗥𝗟, 𝗼𝗿 𝗷𝘂𝘀𝘁 𝘁𝗵𝗲 𝗶𝗱𝗲𝗮, 𝗮𝗻𝗱 𝘆𝗼𝘂'𝗹𝗹 𝗵𝗮𝘃𝗲 𝗮 𝗟𝗼𝗼𝗺 𝗯𝗮𝗰𝗸 𝘄𝗶𝘁𝗵𝗶𝗻 𝟰𝟴 𝗵𝗼𝘂𝗿𝘀. If there's code I'll go through what breaks first under real users, then what I'd fix before launch and which bits I'd leave alone, and if there isn't yet I'll walk through how I'd build it. Free either way, and there's no pitch at the end of it. Full Stack Developer | AI SaaS | Multi-Tenant SaaS | Next.js | React | React Native | TypeScript | Node.js | Python | Supabase | PostgreSQL | Stripe Billing | AI Integration | RAG & Document Processing | MCP Servers | API Integration | Prototype to Production | Replit | Lovable | v0 | Bubble | Code Audit & Takeover WHAT I FIND WHEN I TAKE OVER A CODEBASE: Row-level security switched on and doing nothing, because every read goes around it. A payment that goes through while the write after it fails, so the customer stays on the free plan and nobody finds out until they email you. A sync running on a timer that everyone on the team believes is event-driven. None of it shows up in a demo. All of it shows up around week three. Coming off a v0 or Lovable prototype, the rebuild is usually the data model and the tenant boundary, not the screens. WHAT I BUILD AS A FULL STACK DEVELOPER: • AI SaaS platforms. Retrieval over your own data, document processing, scoped agents with guardrails, and the evals that tell you when they've stopped working • Prototype to production. Replit, Lovable, v0 and Bubble builds rebuilt to survive real customers • Multi-tenant foundations. Org boundaries, roles and permissions, row-level security that still holds when someone queries around it • Billing and payments. Stripe subscriptions, marketplace money in and payouts back out • Integrations. Shopify, PayPal, Klarna, Gmail, Microsoft Graph, and the webhook handling that keeps them honest • Native mobile. iOS and Android on the same typed backend as the web, so the three surfaces never drift apart • Code audit and takeover. Inherited codebases, developers who've gone quiet, launch hardening 𝗥𝗘𝗖𝗘𝗡𝗧 𝗕𝗨𝗜𝗟𝗗𝗦: • 𝗠𝗼𝗻𝗲𝘆𝗹𝗶𝗻𝗲. Document intelligence for financial documents. 180+ API endpoints, 50+ document types, multi-tenant runtime, a visual workflow builder of 20+ node types, and an MCP server exposing every node as an agent-callable tool. • 𝗜𝗻𝘀𝘆𝘁𝗲. Multi-tenant operations platform. Shopify, PayPal, Klarna, Gmail and Microsoft Graph wired in, realtime sync over WebSockets with no third-party realtime vendor, AI handling first-line support tickets. • 𝗦𝗽𝗼𝘁𝗠𝗲. Consumer fintech shipped as native iOS, native Android and web on one typed backend. • 𝗪𝗶𝗻𝗳𝗼𝗹𝗱. Real-time auction marketplace. WebSocket bid engine, Stripe credit purchases and seller payouts. • 𝗥𝘂𝗻𝗧𝗵𝗲𝗔𝗴𝗲𝗻𝘁. Managed AI agent hosting with WhatsApp, Telegram, Discord and Slack connectors, and per-account isolation. 𝗪𝗛𝗘𝗥𝗘 𝗜'𝗩𝗘 𝗦𝗛𝗜𝗣𝗣𝗘𝗗: Fintech and payments, ecommerce operations, marketplaces, document and financial intelligence, AI infrastructure, media and publishing. 𝗧𝗢𝗢𝗟𝗦 & 𝗦𝗧𝗔𝗖𝗞: Next.js | React | React Native | TypeScript | Tailwind | Node.js | Python | FastAPI | Celery | Java | Elixir/Phoenix | Supabase | PostgreSQL | pgvector | Redis | Stripe | Plaid | WebSockets | REST APIs | Webhooks | MCP | OpenAI | Claude | OpenRouter | Vercel AI SDK | Vercel | Railway | Cloudflare R2 | Docker I work with people anywhere and I'm relaxed about timezones, happy to take calls early or late to line up with wherever you are. Native English and Dutch, and available full time right now. If you want a full stack developer who'll own the whole thing rather than close tickets, send me your repo, your URL, or just the idea. Loom back within 48 hours.

I build agentic systems that survive production - not demos. Currently CTO at Kruso Netherlands, and hands-on throughout. Seventeen years in software, ten of them backend and Python, the last two spent entirely on LLM and agent systems that real businesses depend on. What I actually do: - Agent harnesses and multi-step orchestration: tool calling, streaming, error recovery, checkpointing, resumability - Context and memory engineering: retrieval, compaction, short and long-term memory, latency and cost budgets - RAG and GraphRAG over messy enterprise data, with Neo4j and vector databases where a graph earns its place - Evaluation as a first-class discipline: golden datasets, LLM-as-judge, regression tracking, turning production failures into fixes - Guardrails, human-in-the-loop controls, permissions and audit trails for agents that touch real systems - MCP servers and tool registries, so your capabilities are usable by agents rather than only by humans Stack: Python, TypeScript/Node.js, LangChain, LangGraph, OpenAI and Anthropic APIs, MCP, Neo4j, PostgreSQL, Redis, Kubernetes, Terraform, Docker, Prometheus, Grafana, OpenTelemetry, GCP and Azure. How I work: understand the workflow before proposing architecture, ship something running early, instrument it, then harden. I document what I build and hand it over so your team can own it. Best fit: teams putting agents into production for the first time, or teams whose agent works in the demo and falls over under real traffic. If that is you, tell me the workflow and the constraints and I will come back with a scoped plan.

A pragmatic Software developer who always likes to find a robust and simplest solution. As per my opinion, keeping job done efficiently needs your knowledge pool updated with recent technologies including programming languages following the functional paradigm. Feel free to reach out to me, if you want your back-end to be clean and more robust, maintainable and scalable. Skills: Frameworks: Spring Boot, Spring MVC, Spring Data, Spring Core, Apache Struts, Apache Struts 2, Hibernate and JPA Databases: Informix, MongoDB, and MySQL; Version Control Systems: SVN, GIT, TortoiseSVN, GIT bash and GIT Lab, Perforce ; JavaScript: Angular, Bootstrap, JQuery, TypeScript, jQuery UI; Software Engineering Management Tools: JIRA, Confluence, Basecamp, and Trello Building Tools: Ant, Gradle, and Maven Software Development Methodologies: KANBAN, SCRUM, and CICD; Software Quality/Standardization: Checkstyle, Findbug, PMD, Jacoco, and SonarCube; Security Protocols and Standards: OASIS Security Assertion Markup Language (SAML); Miscellaneous: JUnit, Mockito, JSTL, JSP, Java Servlets, Swagger, mapStruct, Jackson, Lombok, FreeMarker, PuTTY, Apache Tomcat, Eclipse IDE, MyEclipse, Intellij IDE, AWS (S3 and EC2)