Backend & API Development
APIs that hold up when it matters
REST APIs, Flask backend services, and PostgreSQL data models built by a backend & API consultant for correctness, observability, and teams that need to move fast without breaking things. Part of MGR Ventures services.
What I Build
Backend services designed around the actual shape of your data and the real workflows your users depend on.
REST APIs
Versioned, documented REST APIs with consistent response shapes, proper HTTP semantics, and input validation that catches problems at the boundary — not deep in the stack.
Authentication & Authorization
Token-based auth (JWT/session), role and permission models, OAuth integrations, and secure credential handling — built right the first time.
Third-Party Integrations
Payments, webhooks, email providers, CRMs, and external data sources — wired up with retry logic, graceful degradation, and secrets that never touch version control.
Admin & Internal Tools
Lightweight admin interfaces, data management dashboards, and ops tooling — the internal surfaces that let your team run the product without engineering help.
Flask API Development
Clean Flask applications with application factories, Blueprint routing, and an architecture that stays readable as the codebase grows — no framework sprawl.
API Audits & Refactors
Review existing backends for security gaps, N+1 queries, fragile error handling, and missing observability — with a prioritized fix list you can act on immediately.
Built to be debuggable
A backend that silently swallows errors or produces opaque failures costs far more than the time it saves at build. Every service I deliver is instrumented to tell you exactly what went wrong, when, and why.
- Structured logging with consistent request context — traceable end-to-end.
- Explicit error handling at every integration boundary, not just at the top level.
- Health check endpoints and uptime-ready status routes out of the box.
- Alerting hooks and monitoring integration (Sentry, Datadog, Uptime Robot, or your existing stack).
- Meaningful HTTP status codes and error response bodies that front-ends can actually use.
Silent failures are expensive
Unobservable backends push debugging costs onto your most expensive engineers at the worst possible moments. Good instrumentation is architecture, not an afterthought.
Discuss your projectData & Performance
Postgres done right: schemas that reflect your domain, queries that scale, and caching that actually reduces load.
PostgreSQL Data Modeling
Relational schemas designed around your actual access patterns, with proper normalization, constraint enforcement, and migration strategies that survive production.
Indexing & Query Tuning
Slow query analysis, index design, and ORM query audits to fix the N+1 patterns and full-table scans that don't show up until you have real data.
Caching Strategy
Response caching, database-level caching with Redis, and cache invalidation patterns that reduce database load without introducing stale data bugs.
Process
Short cycles, defined interfaces, and no black-box deliverables.
Discovery
Data model, access patterns, integrations, and load expectations. The context that determines every architectural decision downstream.
Design & Contract
API contract first — endpoint shapes, auth model, error responses — so front-end and back-end work can proceed in parallel without surprises.
Build & Review
Working endpoints shipped in increments. You test against a real running API, not a Postman mock — changes are caught early.
Launch & Handoff
Deployment support, environment documentation, and credentials handed over cleanly. Your team owns the infrastructure from day one.
Where Backend Fits
The backend is the application logic layer between user interfaces and infrastructure. It validates input, enforces business rules, and coordinates data storage and external services.
Web Development
The frontend collects user input and displays results. The backend validates and processes those requests safely.
DevOps & Deployment
Infrastructure runs the backend services, manages processes, and exposes the API securely to the internet.
Security Audit & Hardening
Security evaluates authentication, authorization, and data handling implemented by backend code.
Technical Consulting
Architecture planning determines how the backend should be structured before implementation begins.
A fit for real-world constraints
Custom backend work makes sense when your data, auth, or integration requirements have outgrown what hosted services can safely handle. Reach out if any of these describe where you are.
- You need a well-documented API that a front-end team or mobile app can build against.
- Your existing backend has scaling, reliability, or security gaps you can't ignore any longer.
- You're integrating with payment providers, enterprise SaaS, or complex third-party data sources.
- You want a Postgres-backed system modeled correctly from the start — not patched later.
- If you also need the client-side UI shipped, pair this with Web Development.
- If you need production rollout (Nginx/Gunicorn/SSL/Cloudflare), see DevOps & Deployment.
- If you need an exposure review and hardening plan, start with Security Audit & Hardening.
Get a straight answer
Describe what you're building, what's breaking, or what you're trying to avoid. You'll get an honest assessment — including if a simpler approach makes more sense.
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