I build, stabilize, and scale production SaaS systems — especially the parts that tend to break under real usage: payments, authentication & permissions, data pipelines, and third-party integrations.
I’m a senior backend engineer who owns systems end-to-end: data models, APIs, background jobs, security boundaries, billing logic, and production stability.
I’m fluent in React / Next.js, which lets me ship complete features and debug across the stack, but my core value is building backend systems that don’t break.
Primary stack
Go · Java · C/C++ · Node.js
(React / Next.js for production UI integration)
Most of my work falls into one of three buckets:
MailTrace.ai — Backend from scratch
Designed and built the backend foundation end-to-end: data model, APIs, async job flows, billing gates, and cloud deployment. Integrated Stripe subscriptions, Auth0, and AI-assisted workflows for processing and insights.
$20k+ engagement, ongoing roadmap delivery.
Speedrun.so — Backend + admin platform
Built and hardened a production incentive/challenges platform with Web3 components and an AI-assisted moderation/admin system. Delivered with tight feedback loops and production-focused milestones.
$20k+ contract.
Sharpside Sports — Subscription & access control rescue
Rebuilt subscription logic, fixed Stripe webhook handling, tightened Supabase RLS policies, and stabilized multi-API analytics flows in production.
Matthew M. earns an estimated $7.2k/mo. That's 4.9× the typical freelancer and more than 99.74% of everyone we track.
Time Too Go — Mobile backend & infrastructure
End-to-end backend delivery for a React Native app: serverless AWS (Lambda, DynamoDB, S3), push notifications, in-app purchase validation, and launch readiness for iOS and Android.
PDF Text Extractor — High-performance C/C++ tooling
Built a bulk document parsing/OCR pipeline focused on speed, memory safety, and reliable batch processing.
SaaS architecture & rescue work
Refactors, migrations/backfills, performance fixes, and “unblock production” debugging when systems start failing under real load.
Payments & monetization
Stripe Checkout, Billing, webhooks, subscription state machines, idempotency, and entitlement gating.
(Shipped multiple Stripe systems in production.)
Auth & permissions
Supabase Auth + RLS, OAuth/SSO (Auth0), secure session flows, RBAC patterns.
(Shipped multiple Supabase systems in production.)
AI features that actually ship
LLM integrations with guardrails: structured outputs, tool/function calling, evaluation-driven iteration, caching, and cost controls.
Cloud & DevOps fundamentals
Docker, CI/CD, staging → production promotion, AWS / Azure / Vercel, and clean secrets & environment management.
If you’re building or running:
Send the repo, logs, or a concrete problem statement, and I’ll map the fastest path to a clean release.