Hire the Best Systems Engineer
in Germany

I have more than 12 years of working experience in different industries and technologies. I have worked as Senior System & Network Admin / DevOps Infrastructure Engineer for different sectors like Telecoms, Software Houses and MSPs. During this period I was lucky enough to work on very diverse technologies like VMware products, Microsoft Servers, Linux administration, VoIP, CRMs, Storages, Office365, Firewalls, SQL servers, Freepbx, 3CX, OSTicket, Connectwise, UVDesk, Solarwinds NPM, SAM, NetFlow, RMM, Splunk Operations, Powershell scripting. My DevOps Skills are as follow; AWS EC2, VPS, S3, Docker, AWS Connect, CloudWatch, IAM Roles, GCP Filesotre, Logs & Monitoring, Packer, NewRelic, IPSec VPNs, Billing, Patch Management, CI/CD, Firewall, SVN, scalability, Databases and much more. Completed many projects related to System Administration, VoIP, DevOps projects, migrations from on-premises to cloud and also set up new Infrastructure on AWS, GCP.

Hi, I'm Luis. I build AI-native software platforms from architecture to production. Over the past 3+ years I've worked across backend engineering, modern web applications and AI systems—both on products of my own and in professional software engineering environments. My experience spans startup execution, client work and industry projects, giving me the ability to balance rapid iteration with the engineering discipline required for reliable, production-ready software. I enjoy building software hands-on and still write code every day. At the same time, my focus extends beyond implementation. I design systems, make architectural decisions and take ownership of how every layer fits together—from databases and APIs to infrastructure, deployment and user experience. I use modern AI development tools where they provide leverage, while keeping engineering quality, technical direction and long-term maintainability under my responsibility. I help companies build AI-native products such as: ▸ AI platform architecture & multi-agent systems ▸ RAG pipelines & semantic knowledge retrieval (Qdrant, pgvector) ▸ LLM integration (OpenAI, Gemini, Claude & self-hosted models) ▸ Backend engineering with FastAPI, APIs, webhooks & third-party integrations ▸ AI observability, monitoring & production debugging ▸ Self-hosted infrastructure with Docker, VPS deployment & GDPR-conscious architectures ▸ Modern AI web applications with Next.js, TypeScript & real-time interfaces Core Stack: Python · FastAPI · PostgreSQL · Redis · Qdrant · Docker · Next.js · TypeScript · LangGraph Whether joining an existing engineering team or building a product from the ground up, my goal is always the same: delivering software that is designed to scale, maintain and evolve—not just to ship. See my work: swiftgateai.de

I’m a results-driven Embedded Systems Engineer with 8 years’ experience and B.Sc. Robotics & Mechatronics, who delivers end-to-end custom electronics solutions. Key strengths: - Firmware: C/C++ & RUST for microcontrollers, Verilog & System verilog for FPGA. - Hardware & PCB: Altium/KiCad designs. - Software: Qt/C++ desktop apps and embedded linux. I work hand-in-hand with clients to transform ideas into robust, production-ready embedded systems - covering everything from initial concept and prototyping to final integration and support. Let’s discuss your next embedded project!

I build AI systems that actually run in production, not just demos. Most clients come to me after hitting the same issues: RAG not accurate, agents unreliable, or AI pipelines that don’t scale. That’s where I step in. I’m a Senior ML and LLM Engineer (10+ years), recently working at NexGen Cloud and Holi GmbH, where I built: ☑️Enterprise AI platforms serving 100+ clients with 99.9% uptime ☑️RAG systems (multimodal, hybrid search, real-time pipelines) ☑️AI agents connected to APIs, tools, and business workflows ☑️High-performance inference systems (sub-200ms latency, cost reduced ~40%) What I can help you with: ☑️RAG Systems (LLM + Data) PDFs, databases, internal tools → accurate retrieval (LangChain, LangGraph, pgvector, Pinecone) ☑️AI Agents & Automation Multi-step workflows, tool calling, OpenClaw-style systems ☑️LLM Systems (Production Ready) OpenAI, Claude, Gemini, structured outputs, evaluation, guardrails ☑️Backend + APIs FastAPI, Django, Node, async pipelines, Redis, scalable systems ☑️Search & Recommendations Hybrid search (BM25 + vector), ranking, personalization I’ve built systems handling 1000+ ML jobs/month and real traffic I focus on accuracy + reliability, not just “AI output” I design systems your team can actually maintain 𝐐𝐮𝐢𝐜𝐤 𝐰𝐢𝐧𝐬 𝐈’𝐯𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 Improved search latency and relevance by 40% Increased recommendation quality by 35% Reduced AI infrastructure cost by up to 70% If you’re building something serious with AI and want it done properly, 𝐥𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤.

I’m a Senior Cloud and Digital Workplace Engineer specializing in Microsoft 365, Azure, Intune, and IT automation. I help organizations design and deploy secure, production-ready cloud and endpoint environments without downtime, complexity, or unnecessary risk. From Microsoft 365 tenant optimization to Intune device management, Azure infrastructure, and automation with Terraform, Logic Apps, and PowerShell, I deliver end-to-end solutions that are secure, efficient, and built for long-term growth. Core expertise: -Microsoft 365 administration and security -Microsoft Intune and endpoint management -Azure cloud architecture and automation -Terraform and Infrastructure as Code (IaC) -Azure Logic Apps, Power Automate, and runbooks -Identity, access, and Zero Trust security -Digital workplace transformation I work with businesses that want reliable, modern, and secure IT, without unnecessary complexity. Projects are delivered with a strong focus on automation, security, performance, and user experience. You can expect clear communication, structured delivery, and measurable results from start to finish.

I’m a DevOps and systems engineer with experience in Kubernetes, Docker, workflow automation platforms such as n8n and Make, C++, and Python. I can help you set up or improve infrastructure, deploy applications, automate workflows, build AI-driven automation, and troubleshoot performance or reliability issues. I’ve worked on projects involving Kubernetes resource management, Linux-based systems, real-time applications, and automation workflows integrating APIs, databases, and AI services. I also have experience with robotics tools like ROS and simulation frameworks such as OMNeT++. I’m comfortable handling tasks from architecture and setup through deployment and operations. I focus on building reliable, maintainable systems and automation pipelines, and I keep communication clear and practical. If you need help automating processes, deploying infrastructure, or improving system reliability, I’m ready to help.