Available for software engineering roles - backend systems, production reliability, cloud deployment, and AI-assisted workflows.

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Engineering evidence

Engineering under real constraints

Evidence-based stories about production recovery, responsible AI boundaries, and developer tooling, without sanding away the limitations.

01

case-study

02

mvp

03

prototype

04

prototype

05

prototype

06

prototype

Selected work

Three case studies with the constraints left in.

Production recovery, responsible AI boundaries, and developer tooling. Each is labelled by what it is, what I owned, and what the evidence supports.

01case-study

Production & Infrastructure

Production Recovery & Performance Rebuild

NDA-safe ransomware recovery case study covering data restoration, infrastructure hardening, CI/CD setup, and performance optimization for a service marketplace.

Restored 100% of production data with zero loss.
AWSMongoDB AtlasDockerGitHub Actions

Role: Incident recovery lead, Infrastructure and deployment owner

Read case study
02mvp

Responsible AI / Firebase MVP

Pilly / MediMate Voice

Firebase-backed responsible-AI medication support MVP helping seniors respond to event-based reminders while caregivers see missed-dose, refusal, snooze, and help-request visibility.

Demonstrated event-based reminder flows for seniors and caregiver visibility.
FirebaseFirestoreCloud FunctionsTypeScript

Role: MVP product engineer, Responsible-AI workflow designer

Read case study
03prototype

AI Developer Tooling

codeflow-hook

Open-source AI code review CLI that runs pre-commit checks using specialized review agents for security, architecture, and quality feedback.

Published as a public npm package and GitHub repo.
Node.jsTypeScriptGit HooksCLI

Role: Open-source tool author, CLI workflow designer

Read case studyGitHubnpm
04prototype

AI Developer Tooling

CodeFlow Commander / Nexus Gateway

Developer-tooling prototype exploring git hooks, AI-assisted review agents, CI simulation, CLI workflows, and security hardening.

Shows how AI review can be attached to developer workflow before CI.
Node.jsTypeScriptGit HooksCLI

Role: Developer-tooling system designer, CLI and git-hook workflow builder

Read case studyGitHub
05prototype

AI Workflow Automation

BackPocket OS AI Offline

Local-first AI operations assistant prototype for small-business admin workflows, turning emails, quote requests, documents, voice notes, and follow-ups into structured tasks with operator approval.

Defined a local-first product direction for small-business admin automation.
PythonFastAPIFlutterSQLite

Role: Prototype product engineer, Workflow automation designer

Read case studyGitHubOffline repo
06prototype

AI-Assisted Security Prototype

Network Guardian AI

AdGuard-connected network security prototype that polls DNS traffic, runs local heuristics before AI escalation, stores tenant-aware analysis history, and exposes the results through a FastAPI + React dashboard.

Moved from passive DNS blocking toward an explainable review workflow with domain history, risk categories, summaries, and anomaly fields.
PythonFastAPIReactTypeScript

Role: Full-stack prototype builder, Backend/API and analysis-pipeline implementer

Read case studyGitHub

Next conversation

Let's make the next system less fragile.

Open to software engineering roles across full-stack systems, platform and reliability work, workflow automation, and applied AI. I value teams where I can keep learning while contributing to real systems and clear delivery outcomes.

Also open to freelance or contract work across full-stack builds, practical automation, technical SEO, and cloud delivery.

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