Expertise

Disciplines, told as craft.

No percentage bars — skills aren't quantities. Each discipline is described by what it means in practice and the principles that guide it.

  1. 01

    Full-stack engineering

    From schema to pixels.

    Designing and building complete products — data model, API, interface, and deployment — as one coherent system.

    • Next.js
    • React
    • TypeScript
    • Node.js
    • Express
    • NestJS
    • Laravel
    • Vue
    • PHP
    • Python
    • FastAPI
    • Flask

    Principles

    • Own the whole path from request to render
    • Make the happy path boring and the failure path clear

    Works closely with: APIs · Databases · Systems architecture

    See it in projects
  2. 02

    Systems architecture

    Shapes that survive change.

    Choosing boundaries, contracts, and trade-offs so a system can grow without being rewritten.

    • Monorepos
    • Strangler migrations
    • Multi-tenancy
    • RBAC
    • Audit logging
    • WebSockets
    • MCP

    Principles

    • Draw the boundaries before the boxes
    • Prefer reversible decisions

    Works closely with: APIs · Cloud & infrastructure · Enterprise integrations

    See it in projects
  3. 03

    APIs

    Contracts people can trust.

    Designing clear, versioned, well-documented interfaces between systems and between teams.

    • REST
    • WebSocket
    • JWT / refresh cookies
    • Zod
    • Sanctum
    • Webhooks
    • OpenAPI-style docs

    Principles

    • Be conservative in what you send
    • Errors are part of the contract

    Works closely with: Full-stack engineering · Enterprise integrations

    See it in projects
  4. 04

    Databases

    Data that stays true.

    Modelling, migrating and tuning relational data so it remains correct as requirements evolve.

    • MySQL
    • Oracle (read-only integration)
    • SQLite
    • Prisma
    • Eloquent
    • Migrations
    • ChromaDB (vectors)

    Principles

    • Constraints are documentation that executes
    • Migrate forward, always with a way back

    Works closely with: Full-stack engineering · Systems architecture

    See it in projects
  5. 05

    AI automation

    Intelligence with guardrails.

    Applying language models, retrieval and agents to real workflows — observable, bounded, and honest about limits.

    • Ollama (local LLMs)
    • Anthropic API
    • ChromaDB
    • Sentence-Transformers
    • RAG
    • Gmail / WhatsApp automation
    • Python

    Principles

    • Automate the tedious, keep humans on the decisions
    • If you can't observe it, you can't trust it

    Works closely with: Computer vision · Enterprise integrations

    See it in projects
  6. 06

    Mobile development

    Software that travels.

    Mobile applications that stay fast, offline-tolerant, and pleasant to use one-handed.

    • Flutter
    • Firebase Cloud Messaging
    • Mobile APIs
    • PWA / service workers

    Principles

    • Design for the worst connection
    • Thumb reach is a layout constraint

    Works closely with: APIs · Full-stack engineering

    See it in projects
  7. 07

    Cloud & infrastructure

    The ground beneath.

    Running services reliably: reverse proxies, process supervision, TLS, backups, and observability.

    • Linux
    • Nginx
    • PM2
    • systemd
    • Let's Encrypt
    • Docker Compose
    • cron
    • NAS backups

    Principles

    • Automate the deploy, rehearse the rollback
    • Least privilege everywhere

    Works closely with: Networking · Systems architecture

    See it in projects
  8. 08

    Networking

    Packets, paths, and policy.

    Understanding how traffic actually moves — DNS, TLS, proxies, firewalls — so failures are diagnosable.

    • WebRTC
    • Reverse proxies
    • TLS
    • Relay / signalling servers

    Principles

    • Measure before you theorise

    Works closely with: Cloud & infrastructure

    See it in projects
  9. 09

    Enterprise integrations

    Making systems talk.

    Connecting ERP, HR, finance and operational systems with reliable, auditable data flows.

    • Tally (HTTP/XML)
    • Oracle ERP via MCP
    • Google Workspace APIs
    • Excel / CSV pipelines

    Principles

    • Idempotency first
    • Reconcile, don't assume

    Works closely with: APIs · Systems architecture · AI automation

    See it in projects
  10. 10

    Computer vision

    Teaching software to see.

    Turning camera and sensor streams into structured, privacy-aware information.

    • OpenCV
    • face_recognition
    • Python
    • Geolocation checks

    Principles

    • Privacy is a design input, not a patch

    Works closely with: AI automation

    See it in projects