Software Engineer | DevOps Engineer

github.com/kborovik/mailpilot

Agent-operated CRM with Gmail as the communication layer — Anthropic Claude as strategic orchestrator and an internal Pydantic AI agent as tactical executor for inbound classification, auto-reply, and follow-up scheduling. CLI-first with JSON output designed for LLM consumption; Python 3.14, PostgreSQL 18, Gmail API with domain-wide delegation, Pub/Sub for real-time sync, Pydantic Logfire / OpenTelemetry for tracing.

github.com/kborovik/gcp-devops

Production Google Cloud Platform infrastructure powering MailPilot — Terraform for GCE instances, networking, DNS, IAM, service accounts, and org policies, plus Ansible for VM configuration (ZFS, Tailscale, Google Ops Agent). Make-based deployment pipeline with confirm-gated production deploys and a two-layer PostgreSQL backup architecture (Sanoid ZFS snapshots plus GCE persistent-disk snapshots).

github.com/kborovik/pilot-skills

Claude Code plugin marketplace shipping pilot-spec (Spec-Driven Development with a single SPEC.md and math-glyph compression for invariants, tasks, and bugs), pilot-plan (GitHub workflow — issue, PR, commit, merge, release), and pilot-core (shared intent-gating and shorthand skills). Demonstrates AI agent orchestration, prompt engineering, and AI-augmented development workflow built on the Anthropic API.

github.com/kborovik/lab5.ca

Engineering practice site and publishing platform for AI-augmented development — Astro 6, Tailwind v4, TypeScript, and Cloudflare Workers, fully type-checked end-to-end. Spec-driven with deploy-on-push CI/CD via GitHub Actions; built entirely with Claude Code.

Independent Contractor · Software Engineer | DevOps Engineer

lab5.ca is my independent consulting practice with client engagements across AI & LLM engineering, DevOps & Cloud Platform Engineering, and modern software development. I take systems from prototype to production: designing agentic architectures, writing the Infrastructure as Code that runs them, and building the developer tooling that keeps them shipping.

What I deliver:

• − AI & LLM engineering — production agentic systems on Anthropic Claude and Google Gemini (Pydantic AI, multi-agent orchestration, structured-extraction pipelines), Claude Code plugins and skills for developer workflows, Model Context Protocol (MCP) integrations, prompt engineering, and LLMOps practices for AI applications.
• − DevOps & Cloud Platform Engineering — Terraform across the full Google Cloud spectrum (GKE, GCE, Cloud SQL, networking, firewalls, IAM, org policies), Helm for Kubernetes release pipelines, CI/CD via GitHub Actions and Azure DevOps, Cloud Composer / Apache Airflow for ETL orchestration, and observability with OpenTelemetry and Pydantic Logfire.
• − Software development — Python and TypeScript backends and full-stack web applications (FastAPI, Pydantic, Astro, Cloudflare Workers), PostgreSQL data layers, REST APIs, event-driven architectures, and Salesforce integration.

Software Engineer

I built and operated data integration pipelines connecting Salesforce to enterprise business applications across a two-cloud environment — Google Cloud and Microsoft Azure. ETL was orchestrated on Google Cloud Composer (managed Apache Airflow), backed by PostgreSQL for workflow state and Cloud Storage for staging and archival.

• − Salesforce data integration — bidirectional pipelines syncing accounts, opportunities, and operational data between Salesforce and downstream business applications via the Salesforce APIs
• − Cross-cloud ETL on Cloud Composer / Apache Airflow — idempotent, self-recovering Python DAGs moving data between sources in Google Cloud and Microsoft Azure; PostgreSQL for workflow state, Cloud Storage for intermediate data, replacing manual transfers end-to-end
• − CI/CD pipelines via Azure DevOps and Infrastructure as Code via Terraform on Google Cloud — Composer environments, GCS buckets, Cloud SQL, IAM, networking, and automated test/deploy for DAGs and supporting services

DevOps Engineer

I wrote Infrastructure as Code and Kubernetes release tooling supporting deployment and operations of a large application microservices estate on Google Cloud, under NIST-800-53 and PCI-DSS controls.

• − Terraform across the full Google Cloud infrastructure spectrum — GKE clusters, GCE instances, Cloud SQL, VPC networking, firewall rules, load balancers, IAM, service accounts, and org policies
• − Helm charts and release pipelines for the application platform — deployment, configuration, and lifecycle management for a large fleet of microservices on GKE, serving 20+ backend engineering teams
• − Secrets management and security controls satisfying NIST-800-53 and PCI-DSS — IAM design, firewall and network policies, encrypted secrets handling, and audit-ready infrastructure

DevOps Engineer · Platform Engineer

• − Python automation tooling for cloud migration and deployment across client engagements
• − Led a team automating enterprise infrastructure provisioning and platform operations
• − NetApp storage, VMware virtualization, FortiGate firewalls — enterprise infrastructure stack across client engagements

Systems Engineer

• − Datacenter operations across Dell & IBM servers and Windows Server fleets