01 / Backend
Distributed systems
Go and Python services, decision systems, service boundaries, and data flows designed for traceability and change.
Engineering profile
Senior Backend & Platform Engineer
I build and evolve backend and platform systems where correctness, operational safety, and delivery quality matter. My focus is distributed systems, cloud reliability, and applied AI.
Proof areas
The kind of engineering work I bring
02 / Platform
Cloud reliability
Delivery and runtime foundations that make production behavior easier to observe, validate, and operate safely.
03 / Applied AI
Evaluation in production
ML and agent-oriented systems grounded in measurable behavior, explicit trade-offs, and feedback from real workflows.
Selected work
A detailed production case
Sanitized engineering case
Versioned logistics rules without losing speed
A generalized account of Go and Python services, a traceable decision engine, production ML evaluation, and focused performance work in a logistics domain.
Go Python Decision systems ML evaluation Caching
Public work
Original work and merged upstream contributions
These links lead to inspectable public repositories and merged pull requests, with ownership and contribution boundaries kept explicit.
original repository
agent-workflows ↗
Public, tool-generic reusable GitHub workflows and actions for agent tooling, including Codex pull-request review and override workflows.
merged cross-SDK rollout
Courier EU endpoint rollout ↗
A merged endpoint rollout spanning Courier's web, React Native, iOS, and Android SDKs, with public changes across clients, UI, designer, docs, tests, and release metadata.
merged upstream contribution
Jina provider for pi-web-access ↗
An upstream contribution adding Jina Search provider routing, lazy credentials, credential redaction in errors, and distinct provider timeout and caller-cancellation handling.
Contact
Open to engineering conversations
For senior backend, platform, distributed systems, or applied AI roles, the best starting point is a conversation about the system, the constraints, and the work that needs to be done.