Igor Bondarenko
Cloud · Edge · Security · AI

I build secure foundations modern applications run on.

I build secure cloud infrastructure, edge applications and AI-powered tooling — and help organisations design, adopt and operate them, from the first architecture conversation to production.

a living, decentralised network always on
FRAIADSFOGRUSINNRTBOMJNBSYDDXBLON · core
About me
I believe secure, high-performance applications are the result of deliberate design and disciplined engineering.
Igor Bondarenko

I work at the intersection of hands-on engineering, architecture and customer success. I don't just build secure cloud-native systems, edge applications and AI-powered tooling — I help teams design, adopt and operate them well, with a focus on security, simplicity and operational excellence.

That means I'm as comfortable hardening an edge deployment or wiring up an agentic AI workflow as I am running an architecture review, scoping a proof-of-concept or turning a business goal into a pragmatic technical plan. Twenty years across telecom and enterprise infrastructure taught me to understand the customer's problem first, and choose the technology second.

Cloud & Edge Platforms Security & Zero Trust AI-assisted Engineering Architecture & Enablement
Projects

Things I build.

Each project, from the problem it solves to how it's built and what it delivers.

appealify

Active

Built a production SaaS platform that automates UK parking appeals.

Problem

UK drivers get confusing parking charge notices and rarely appeal, even when they'd win.

Architecture

AI SaaS on Cloudflare Workers — LLM-generated appeal letters, with Cloudflare D1 (SQLite) and R2, protected by a WAF with managed and custom rules.

Outcome

A photo of a notice becomes a complete, ready-to-send appeal letter in minutes.

Cloudflare Workers · D1 (SQLite) · R2 · WAF · Stripe · LLM APIs (OpenAI / Anthropic / Grok)

PodLikar

Open source

Reduced Kubernetes troubleshooting time from hours to minutes with an AI-powered diagnostic agent.

Problem

Diagnosing failing pods in a k3s cluster is slow, manual and token-hungry for AI agents.

Architecture

A declarative AI agent (kagent + MCP) with health-check, diagnose and heal modes — LLM-agnostic, defined in a single YAML.

Outcome

One-command diagnosis with 75% fewer tokens (46K → 12K). Shared at MCP_HACK//26.

kagent · MCP · Kubernetes · agentic AI · YAML · LLM-agnostic

Self-Hosted Homelab

Active

Runs a live, self-hosted platform serving production-like and personal workloads around the clock.

Problem

I needed a production-like environment to practise cloud-native and edge skills with real workloads.

Architecture

A 3-node K3s HA cluster plus Proxmox virtualisation and Zero Trust ingress, self-hosted on bare metal.

Outcome

An always-on lab running live services, published at igorbond.info.

K3s · Proxmox · Zero Trust ingress · tunnels · Ansible · Longhorn

E-Bike Telemetry API

Proof of concept

Prototyped an edge API that securely collects raw e-bike telemetry and, within a hundred milliseconds, sends AI-controlled commands back to the e-bike.

Problem

E-bike telemetry and riding-session data must be processed as quickly as possible (within hundreds of milliseconds), and deterministic or AI-driven command chains should feed back within a few seconds.

Architecture

An edge API pairing a fast deterministic decision loop with an agentic AI loop, backed by persistent edge storage, issuing commands back to the bike.

Outcome

The main objective was to evaluate whether hundred-millisecond performance for a deterministic decision loop, and a few-second performance for an agentic AI inference loop, could be achieved.

API · Edge · Serverless · Telemetry · JSON
How I help

From first conversation to solutions that run.

How I work with customers and teams — whether I'm building it myself or helping them build it.

01 · Discover

Understand the business goals, technical constraints and the architecture already in place.

02 · Design

Shape secure, scalable solutions with pragmatic trade-offs made in the open.

03 · Build

Prototype, automate and deliver production-ready infrastructure.

04 · Enable

Document, teach and support the team so they can run and evolve it long-term.

Engineering principles

How I think about building systems.

  1. 01

    Understand the problem before the technology

    The customer's goal and constraints come first; the tools are chosen to fit them, not the other way round.

  2. 02

    Secure by default

    Security is a starting assumption in every design, not a layer bolted on at the end.

  3. 03

    Keep it as simple as it can be

    The best architecture is the simplest one that meets the need and is easy to reason about under pressure.

  4. 04

    Make systems observable

    If I can't see it, I can't run it — so metrics, logs and traces come first, not last.

  5. 05

    Automate with purpose

    Automate the repetitive and the risky where it genuinely saves time or removes error — never for its own sake.

  6. 06

    Teach and enable the people I work with

    A solution only succeeds if the team can run and evolve it after I've moved on.

  7. 07

    AI augments judgement, not replaces it

    I use AI to move faster and think wider, while owning every decision it informs.

Current stack

What tools and technologies I use currently.

And I'm always learning and adopting new ones.

🛡️

Secure applications

  • Cloudflare
  • Fastly
  • WAF & Zero Trust
  • API security
  • TLS / mTLS
🏗️

Build platforms

  • Kubernetes
  • Docker
  • Terraform
  • GitHub Actions
  • Ansible
🤖

Automate operations

  • Bash
  • Python
  • JavaScript
  • AI agents
  • MCP
☁️

Run on cloud-native

  • AWS
  • Akamai (Linode)
  • Proxmox
  • VMware
  • Edge compute
🤝

Helping customers

  • Architecture reviews
  • Technical discovery
  • Solution design
  • Proofs-of-concept
  • Developer enablement

certifications (active)

AWS Certified Cloud Practitioner SAFe 6 POPM PRINCE2 7 Foundation

training & courses

DevOps Bootcamp — Docker · K8s · Terraform · CI/CD Cisco Python Network Automation NVIDIA InfiniBand & Ansible for Network Engineers Ericsson Security Reliability Model & API Frameworks CISSP Preparation Techmaker.ua — embedded systems programming & research
Experience

An exciting journey across sectors and domains.

Hands-on Delivery Lead
Ericsson — Cloud Software & Services Delivery (Eurasia/EMEA)
2021 — 2025

Virtualised and bare-metal infrastructure deployment for multi-site 4G/5G Core functions — and technical interface to telecom/enterprise customers.

IT Service Manager
Metinvest-Digital (Steel & Mining Holding)
2020 — 2021

Service manager for enterprise networking and telecom infrastructure across the holding's operating companies.

Technology Consulting
Group CTO Office
2019 — 2020

Group-wide network architecture and strategy alignment across multiple operating companies and key vendors.

Engineering & Architectural Roles
Kyivstar
2002 — 2019

17 years' progression across core engineering, service management and platform architecture.

  • Architecture & Strategy SME, CTO Office2015 — 2019
  • Engineer, Network & Platforms Planning2012 — 2015
  • Head of Service Management, Network O&M2007 — 2012
  • Core Systems & Network Engineer2002 — 2007
Get in touch

Let's build something.

Open to interesting projects — on site or remote. If you're building something where technical depth meets customer-facing delivery, let's talk.