Hi! I'm Didi, a technologist building real-world solutions at the intersection of Automation, AI, and DevOps.

I help businesses scale their workflows by engineering:

• Intelligent RAG Agents for eCommerce (customer support & sales)
• Complex Automation Pipelines using n8n, Python, and AWS
• Resilient Cloud Infrastructure with Terraform and GitOps practices

At the same time, I am building in public—deploying production AWS infrastructure, running Kubernetes home labs, and mastering the modern DevOps stack through hands-on implementation.

My journey began at age 12, compiling kernels on FreeBSD, experimenting with Red Hat, and reverse engineering TCP/IP stacks. I wrote my first programs in C and developed a deep fascination for how systems and networks function under the hood.

That early foundational knowledge of operating systems and protocols is what drives me today. I approach modern DevOps not just as "tooling," but with a systems-engineering mindset.

Beyond learning, I build and maintain live infrastructure where uptime and cost matter.

• Multi-Site AWS Hosting: Deployed Terraform-managed S3 + CloudFront infrastructure for multiple live domains with global CDN distribution.
• Cost Engineering: Migrated a Telegram analytics bot from paid hosting to AWS Lambda (Free Tier), achieving 80% cost reduction.
• Security-First CI/CD: Implemented OIDC authentication for GitHub Actions → AWS to eliminate hardcoded credentials.
• eCommerce Automation: Currently maintaining production RAG bots and n8n workflows for a German eCommerce agency, handling customer support and inventory logic.

Multi-region Kubernetes cluster with GitOps. One-command deploy.

• 🏗️ Tech: Terraform, k3s, Hetzner Cloud, ArgoCD, Traefik, cloud-init.
• 💡 Demonstrates: Infrastructure as Code, multi-node cluster, private networking, auto-join workers, load balancer, GitOps deployment.
• 💰 Cost: ~€17/month for 3-node production cluster.

Serverless bot that generates 10-second videos from text or voice instructions.

• 🏗️ Tech: AWS Lambda, Telegram Bot, Multi-Agent AI Pipeline, Human-in-the-Loop.
• 💡 Demonstrates: Agentic AI orchestration, script approval workflow, voice-to-video automation.

Deploy websites by texting a Telegram bot. Zero servers. Zero maintenance. A production-grade serverless platform built in one day using reusable patterns.

• 🏗️ Tech: Terraform, AWS Lambda, API Gateway, S3, CloudFront, OIDC.
• 💡 Outcome: Instant deployment of static sites costs ~$0.00/month.

Voice-to-text for Telegram using AWS Transcribe. 100% Serverless.

• 🏗️ Tech: Terraform, AWS Lambda (Node.js), S3, AWS Transcribe.
• 💡 Outcome: Private, cost-effective voice note transcription with zero idle costs.

AI-enhanced scraping system that identifies and qualifies leads based on custom business criteria.

An automated pipeline that transforms video content into formatted, readable Medium articles using prompt engineering.

A complete MLOps pipeline to categorize emotional tone.

Includes Dockerized FastAPI server, CI/CD with GitHub Actions, and K3s-ready deployment.

Educational tool for exploring networking and security via simulated TCP session hijacking.

🛠️ AI & Automation Engineering Building RAG (Retrieval-Augmented Generation) bots and intelligent workflows. Expert in n8n, Zapier, Make.com, and Python for connecting disparate systems (APIs, Webhooks, Databases).

☁️ Cloud Infrastructure (AWS) Deploying secure, scalable systems using S3, CloudFront, Lambda, and Route 53. Strong focus on Infrastructure as Code (Terraform) and Cost Optimization.

🔄 DevOps & GitOps Practical implementation of CI/CD (GitHub Actions), Secret Management (Vault/Sealed Secrets), and Container Orchestration (Docker/Kubernetes).

🧠 System Design Building modular, observable backend systems with a focus on "Human-in-the-Loop" architecture—ensuring automation serves the user, not the other way around.

Current Focus:

• ☸️ Certified Kubernetes Administrator (CKA) — Exam: Feb 23, 2026
• 🤖 AWS Certified Generative AI Developer – Professional (AP1-C01) — Target: March 22, 2026

Active Lab (KubeLab):

• Cluster: k3s on Hetzner Cloud (multi-region: fsn1 + hel1)
• GitOps: ArgoCD for declarative app deployment
• Networking: Private VPC, Traefik ingress, Hetzner Load Balancer
• IaC: Terraform with modular structure, cloud-init bootstrap
• Observability: Prometheus, Grafana, Loki (planned)
• Security: Pre-shared tokens, RBAC, firewall rules

• ✅ AWS Certified Cloud Practitioner (CLF-C02)
• ✅ AWS Certified Solutions Architect Associate (SAA-C03)
• 🔄 Certified Kubernetes Administrator (CKA) — Target: Feb 23, 2026
• 🔄 AWS Certified Generative AI Developer – Professional (AP1-C01) — Target: March 22, 2026

Let's collaborate on building better systems. 🔗 View Portfolio → didiberman.com