AKIN AYDIN — SOFTWARE SOLUTIONS ARCHITECT

AKINAYDIN

SOLUTIONS architect

Interactive products, cloud systems and applied machine learning — engineered end to end. Right now, that means building FitEscala.

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01 — Current project · live revision

UNDER construction

The current startup, co-founded with Ivan — member growth for boutique fitness studios, Spanish market first. Shipped as GymScale, rebranded to FitEscala, both sites live; designed, built and revised in real time with no launch theater.

  • STATUS: UNDER CONSTRUCTION — LIVE REVISION
  • USERS: TBD — PENDING SURVEY
  • LAUNCH: AWAITING DATA

02 — Selected work

SELECTED work

Selected systems, interfaces and interactive experiences.

NEXT ON THE BOARD: INTERVIEW AI & ÜRÜNEREKLAM — SAAS CUTS. Full index →

03 — The architect

ONE CRAFT IS NOT enough

Most people pick a specialty and defend it. I'd rather master the whole set. In the last few years that has meant mobile apps, cloud APIs, an EU-funded accessibility platform, machine learning at postgraduate level, IoT hardware, and a startup of my own. Not because variety is decoration — because real problems refuse to stay inside one discipline. I learn whatever the problem demands, at speed, and I finish.

NOTE: GENERALIST BY CONVICTION, NOT BY ACCIDENT

04 — Service

WHAT I build

Three services. Same method: survey the problem, draft the system, build it to the line.

01 — PRODUCT

Apps & products

Interactive websites and web and mobile products, from the first sketch to a shipped MVP — built for how people actually use them, not just how they demo.

  • Interactive marketing sites
  • Web apps & dashboards
  • Mobile apps (React Native)
  • MVPs that actually ship

02 — SYSTEMS

APIs & architecture

Cloud back-ends designed like buildings: gateways, auth, rate limits, CI/CD and documentation the next engineer can actually read.

  • API design & gateways
  • Auth, rate limiting, CI/CD
  • Data pipelines
  • Documentation the next engineer can read

03 — INTELLIGENCE

Applied machine learning

Postgraduate-level machine learning inside real products — assistants, pipelines and models that earn their place instead of decorating a pitch deck.

  • LLM product features
  • Real-time copilots
  • ML pipelines
  • AI-assisted workflows

05 — Method

DRAWN, THEN built

  1. 01 — SURVEY

    Survey

    Understand the problem before touching a keyboard — sit with the brief, question the assumptions, and prototype the feeling of the product before any code commits.

  2. 02 — DRAFT

    Draft

    Draw the architecture on purpose — systems, data and interaction mapped deliberately — so the build has a plan to follow instead of guesswork at the keyboard.

  3. 03 — BUILD

    Build

    Engineer the system first, then stay in the interaction until it stops feeling built and starts feeling inevitable — the part most teams skip.

  4. 04 — SHIP

    Ship

    Deliver the thing, measure what actually happened — honestly, not the version that flatters the launch — and revise until the numbers or the feeling hold up.

06 — Practice

YOUR NAME IN MY title block

I take a small number of freelance commissions: sites and products for clients who want them drawn properly, not templated. Every site I build carries a small signature in the footer — Akın Aydın → akinaydin.com — because an architect signs the drawings.

FOR ENGINEERS: THE FULL drawing set

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