Software engineer · Southern California

I build software that behaves well after it ships.

I’m Oliver—a computer science graduate who turns ambiguous problems into dependable systems, from observable Kubernetes workloads to practical event operations and data products.

Explore my work View résumé

Open to new opportunities
Software · Platform · DevOps

44 automated checks passing

3.93 CSUSB GPA

20+ front-end issues resolved

Proof over promises.

Selected work · 2024—2026

Built with the messy parts included.

Four source-backed case studies spanning infrastructure, event operations, market data, and machine learning—plus two builds documented in my current résumé.

01 Platform engineering Public repository

OpsReady

A production-readiness lab that proves a small service can be built, observed, secured, deployed, broken, and recovered with intention.

44unit and HTTP tests
3 pathsnative, Compose, Kubernetes
0runtime dependencies

Engineering details

Includes hardened containers, Kustomize overlays, SLO-backed alerts, a provisioned Grafana dashboard, failure-injection runbooks, SBOM creation, and a keylessly signed release workflow.

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opsready / status

Service state Ready

Test suite44 / 44

PrometheusGrafanaAlertmanagerKubernetes

02Event operations backendWork in progress

EventReady

A role-aware backend for equipment readiness and technical incident management, turning real event-support workflows into an auditable API.

Backend foundation

Implements secure session cookies, role-based access, asset assignment and check-in, readiness checklists, incident resolution rules, audit trails, endpoint reports, health probes, and HTTP metrics. Nine integration tests and Ruff checks pass in an isolated environment; the user interface is still in progress.

Private working project · backend verified locally

EventReadyOperations overview

ASSETSAssignedCheck-out tracked

EVENTSReadyChecklist enforced

INCIDENTSTriagedResolution required

HighConnectivity issueInvestigating

AuditEquipment checked inRecorded

ReadyPre-event checklistComplete

Role-awareAuditableObservable

Live Wiki data GE Ledger

03Market data product Public repository

GE Ledger

An Old School RuneScape market dashboard that turns live Wiki/RuneLite price data into tax-adjusted flip rankings, pairing each margin with observed volume on both sides of the trade.

Calculation and safeguards

Joins mapping, latest-price, and completed 24-hour feeds in parallel, then computes signed net profit, ROI, matched liquidity, and four-hour-limit projections. It applies the 2% per-item seller tax—including floor rounding, the 5M gp cap, and dated exemptions—flags stale prices, preserves losses, and caches the latest valid snapshot. Sixty-one automated tests across six suites cover pricing, API, caching, filtering, sorting, and accessible UI behavior.

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Model accuracy

Regression

87.3%

KNN

76.6%

Key signal Playlist presence had the strongest measured relationship with streams.

04Machine learning · Team project

Spotify Stream Analysis

An R-based comparison of regression and KNN models across 900+ popular tracks to identify the numerical attributes most associated with streaming performance.

What the analysis found

The regression model outperformed KNN, identifying artist count, Spotify playlist presence, and chart presence as the strongest predictors in the supplied 2023 dataset. The report also documents model assumptions and dataset limitations.

Academic team report · available on request

Additional builds

Infrastructure at home. Product delivery with a team.

A / 01

B.O.S.C.O. Homelab

A three-server self-hosted environment for learning infrastructure operations in practice: Proxmox virtualization, Terraform provisioning, Ansible configuration, Docker services, CI/CD, storage, and networking.

2026—Present

A / 02

EzCommerce

A full-stack e-commerce platform delivered with a six-developer Agile team. I led the Scrum workflow and built responsive interface components and REST API integrations across Node.js, Firebase, JavaScript, HTML, and CSS.

2024

Experience

Software is only useful when people can depend on it.

My experience crosses application development and hands-on IT operations—the combination that keeps me thinking about the user, the failure path, and the handoff.

Jan—Aug 2025

Software Engineering Intern

Nanoinfo · Remote

Resolved more than 20 front-end issues across JavaScript, HTML, and CSS; upgraded MySQL 5.7 to 8.0, restored database connectivity, and improved SQL queries for integrity and performance.

Oct 2020—Present

IT Support Specialist

Fantasy Events · San Dimas, CA

Keep live events running through on-site endpoint, hardware, software, and network support. Helped move the business to a hybrid event model using Microsoft 365 and Zoom when continuity mattered most.

How I work

Curious enough to dig in. Practical enough to ship.

I like the point where software meets reality: unclear requirements, constrained environments, failure modes, and the people who need the system to make sense.

That perspective comes from building full-stack applications, maintaining live event technology, automating infrastructure in a homelab, and studying both computer science and data science. I document decisions, test the unhappy paths, and leave the next person a system they can understand.

Read my full résumé

Working set 2026

Build

Python · JavaScript · SQL · Node.js · REST APIs

Operate

Linux · Docker · Kubernetes · Prometheus · Grafana

Automate

Terraform · Ansible · Bash · CI/CD · GitHub Actions

Computer Science
Data Science minor · 3.93 CSUSB GPA
CSU San Bernardino · 2025

One good conversation can start a lot.

Have a problem worth building for?

osethsmith@gmail.com

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