Pavel Khaustov
I don't just maintain servers. I build resilient infrastructure and integrate AI to automate actual business operations. From deploying zero-downtime Kubernetes clusters to orchestrating autonomous LLM agents that drive revenue. I make sure your backend scales and your AI pipelines survive production.
~/About Me
About Me
Pavel Khaustov
DevOps Engineer
For over three years, I led IT departments as a CIO in high-traffic EdTech. I know exactly how much money a business loses when infrastructure fails during a high-profile product launch. Eventually, I realized my true passion is hands-on engineering, not endless management meetings. I pivoted back to architecture and automation. Today, I combine my business understanding with hardcore engineering. I use modern environments like Antigravity IDE to rapidly prototype AI pipelines, but I back them up with strict DevOps standards — CI/CD, containerization, and observability. If it can be automated, I automate it. If it runs, I monitor it.
Location
🇱🇹
Lithuania
Vilnius
EXPERIENCE
10+
years in IT
Philosophy
"If a process requires manual intervention, it's a bug. Automate operations, deploy AI, monitor everything."
Fun fact
I run a bare-metal K3s cluster at home. Not just for fun, but to self-host vector databases and orchestrate my own AI agents without relying on third-party cloud providers.
~/Autonomous AI & Automations
Autonomous AI & Automations
Real AI solutions that generate revenue and automate workflows.
E-commerce AI Agent
Task
Automate sales with an LLM integrated directly into the backend.
Solution
Engineered an autonomous agent that doesn't just chat, but closes deals. It processes natural language, checks inventory via API, and generates $3,000–$4,000 in passive revenue monthly.
LLM-Powered QA Pipeline
Task
Eliminate manual call reviews in the sales department.
Solution
Built an automated pipeline that transcribes audio, analyzes dialogue context using LLMs, and outputs structured performance metrics and analytics.
~/Tech Stack
Tech Stack
CI/CD & Security
GitLab CI · GitHub Actions · Jenkins · Trivy
Orchestration
Kubernetes · K3s · Helm
Containerization
Docker · Docker Compose
Monitoring & Observability
Prometheus · Grafana · Loki · Promtail · Uptime Kuma
IaC & Config Mgmt
Ansible · Terraform
Scripting & ChatOps
Bash · Python · Telegram Bot API
Networking & Ingress
Traefik · Nginx · Cert-Manager · Cloudflare
Cloud & Backups
Selectel · AWS · Hetzner · Cloudflare R2 · Velero
Version Control
GitLab · GitHub
~/Live Infrastructure
Live Infrastructure
Real systems, running live. Everything you see below is pulling actual data.
Kubernetes Cluster
Task
Run containerized workloads with zero-downtime deployments under unpredictable traffic spikes.
Solution
Self-hosted K3s on bare metal, deployed via GitLab CI + Helm. Namespace-isolated, heavily utilizing RBAC, and configured for aggressive auto-scaling.
Live pods from devops-portfolio namespace:
GitLab CI/CD Pipeline
Task
Fully automated build, scan, and deploy on every git push.
Solution
5-stage pipeline: test → build → Trivy scan → staging → manual prod gate. ChatOps bot sends Telegram approval request.
Monitoring Stack
Task
Full observability across the cluster.
Solution
Prometheus Operator scrapes metrics, Grafana visualizes, Loki + Promtail aggregates logs.
Disaster Recovery
Task
Automated backups with point-in-time recovery because staging always breaks.
Solution
Velero snapshots entire namespaces weekly to Cloudflare R2 (S3-compatible). Full cluster restore tested and verified in under 15 minutes.
~/Experience
Experience
DevOps Engineer
5 Prism Academy
- ›Migrated infrastructure from legacy hostings to Managed Kubernetes (Selectel Cloud).
- ›Decomposed monolithic architecture, separating PostgreSQL layers to resolve resource conflicts.
- ›Configured CI/CD pipelines, auto-scaling, and high availability for critical services.
- ›Implemented observability stack: Prometheus, Grafana, Loki.
DevOps / Infrastructure Architect
Self-Hosted Environment
- ›Architected a bare-metal K3s cluster with GitOps deployment pipelines.
- ›Implemented Shift-Left Security with Trivy in GitLab CI.
- ›Built a Python ChatOps Telegram bot for manual production deployment approvals.
- ›Configured Velero backups, Uptime Kuma status page, and Cloudflare DNS.
DevOps Engineer (Trainee)
TeachMeSkills Online School
- ›Core & Scripting: Git, Linux Administration, Bash, Python.
- ›Infrastructure as Code: Ansible, Terraform.
- ›Containerization & Orchestration: Docker, Kubernetes.
- ›CI/CD & Monitoring: GitLab CI, Prometheus & Grafana.
CIO
Wello AI
- ›Architected fault tolerance and security for IT infrastructure.
- ›Optimized cloud resource usage and implemented CI/CD processes.
- ›Led technical teams and guided strategic architectural decisions.
CIO
Birch
- ›Built a technical department from scratch for a fitness platform.
- ›Created and implemented a centralized knowledge base and technical documentation.
- ›Reduced infrastructure incidents through systematic administration.
IT Support / Technical Specialist
Various Companies
- ›Hardware and software support, network configuration, server administration.
- ›Automated routine admin tasks using Bash scripting.
- ›Maintained smooth operation of office IT infrastructure.
Let's build something that doesn't crash
Looking for an engineer who understands both Kubernetes orchestration and AI pipelines? I'm based in Vilnius and open to remote contracts, B2B, or consulting