Freelance Go Engineer • Cloud-Native Backends • Event-Driven Architecture • API Platforms

The freelance engineer teams call when reliability, speed, and clarity all matter.

I build production-grade Go services, explicit API contracts, and delivery workflows that keep releases predictable.

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Fastest path to working together

1 Send a 5-10 line scope with business goals and technical constraints
2 Use services or the offer estimate to frame effort and budget
3 Get a concrete delivery plan and next steps within 24 hours

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Profile

About me

Senior engineering depth with product accountability

I help product and platform teams deliver complex backend systems without sacrificing speed or reliability.

Core specialization: cloud-native Go systems, API-first design, and event-driven architecture built for real production load.

I work close to product and engineering leadership, turning ambiguous requirements into clear technical decisions and shipped milestones.

Open-source maintainership and mentoring sharpen my quality bar: solutions are built to be understood, operated, and extended by your team.

Immediate impact areas

High-impact contributions from week one

These are the areas where I can join an active team and deliver measurable progress from day one.

Production-grade Go services and platform components

Event-driven architecture (Kafka, RabbitMQ, NATS, AWS)

Protocol Buffers, gRPC, and schema governance workflows

OpenAPI-first HTTP APIs with code generation

Svelte/SvelteKit operations dashboards and internal tools

CI/CD, test strategy, and release automation

How I work

How delivery works in 3 clear steps

Scope workshop in 60 minutes: outcomes, risks, architecture constraints, and definition of done

Weekly, inspectable delivery increments with decision logs

Production readiness included: tests, CI/CD, observability, and handover documentation

AI delivery acceleration

AI-accelerated workflows for security remediation and CI stability

Removes repetitive failure-handling work so teams can ship faster with fewer regressions.

Vulnerability fix pipeline

Automated triage of security findings, risk-ranked remediation proposals, and patch-ready pull requests.

Shorter time from alert to merged fix with stronger security hygiene.

CI failure auto-fix

Classification of build, test, and lint failures with reproducible fixes and pull-request-ready patches.

Fewer blocked pipelines, less firefighting, and faster release cadence.

Dependency and policy bot flows

Automated dependency upgrades with risk checks, regression tests, and compliance policy gates.

A continuously updated stack without disruptive manual maintenance waves.

Incident-to-PR automation

From logs and alerts to prioritized work items with technical fix templates and QA checklists.

Faster incident response and lower operational stress for engineering teams.

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Track record

Projects and customer projects on dedicated proof pages

Explore detailed proof across commercial products, open-source engineering, and customer projects.

1 Commercial products

3 Selected OSS repos

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