Profile

Open to full-time roles

I build across mobile, backend and web.

I work across multiple product layers, from Flutter applications and TypeScript services to subscription flows and store releases.

Contact → View CV ↗
5,000+

organic downloads

99.9%

crash-free users

150K+

App Store impressions

3

production products · mobile + web

Professional experience

Mobile Application Developer

MaviPiksel Internet Solutions

January 2025 — Present

I work across the mobile, backend and web layers of Sano AI, Revna and chat.sanoapp.ai with production responsibility.

Sano AI · Revna · chat.sanoapp.ai

FlutterTypeScriptNode.jsReactFirebaseGCPSupabasePostgreSQL
01

Mobile delivery

Flutter features for iOS and Android, localization, reminders, push notifications and store releases.

02

Backend & subscriptions

REST APIs, webhooks, Pub/Sub, RTDN, App Store Server Notifications and entitlement synchronization.

03

Web & CI/CD

React/Vite frontend, CI/CD pipeline, environment configuration and secrets for chat.sanoapp.ai.

04

Production operations

Crashlytics, monitoring, incident investigation, inconsistent user states and post-release fixes.

Technical profile

Areas I use in production.

My experience covers Flutter clients, TypeScript and Node.js services, subscription infrastructure, data flows, CI/CD and store releases.

Mobile

  • Flutter / Dart, production releases
  • Bloc · Provider · MobX
  • FCM, push, localization
  • Crashlytics, monitoring

Backend & infrastructure

  • GCP — Pub/Sub, Cloud Functions
  • Supabase, Edge Functions
  • PostgreSQL / SQL, DB triggers
  • REST APIs, webhooks

Fintech & AI

  • Subscription & entitlement flows
  • Google Play Billing, RTDN
  • App Store Server Notifications
  • Local LLM R&D — Mistral, Qwen

Product shipping

  • CI/CD, secrets management
  • App Store / Play review & release
  • 0 → production from an empty repo
  • Crash-free rates, monitoring, polish
Mobile

Flutter / Dart

Production · 5/5

Two cross-platform apps shipped to both stores

Fintech & AI

Subscriptions & entitlements

Production · 5/5

Google Play Billing, RTDN and App Store server events

Backend & infrastructure

GCP / Firebase

Advanced · 4/5

Pub/Sub, Cloud Functions, auth, data and monitoring

Product shipping

CI/CD & store release

Production · 5/5

Pipelines, secrets, store review and live releases

Backend & infrastructure

Supabase / PostgreSQL

Advanced · 4/5

Edge Functions, SQL, policies and database triggers

Product shipping

React / Vite

Advanced · 4/5

chat.sanoapp.ai built from an empty repo

Fintech & AI

AI integration / local LLMs

Hands-on · 3/5

Product integration plus Mistral and Qwen research

Academic & community

School was the starting point, not the whole story.

Six milestones across Computer Science, TÜBİTAK 2209-A and community leadership that shaped how I build products.

Academic journey

Academic life

What I learned beyond school while shipping products and building communities.

01
2020

university start

02
1 year

English preparation

03
2209-A

TÜBİTAK research project

04
Founding

student community member

Scroll through the story

School was the starting point, not the whole story.

Six stops where theory, people and production gradually came together.

01 / 06

Computer Science began

I laid the foundation at Dokuz Eylül University; this is where my interest in algorithms, software engineering and product development became clear.

CS DEU İzmir
02 / 06

I stepped into community work

I learned that technical growth does not happen through classes alone; bringing people together makes everyone grow much faster.

Community Events Network
03 / 06

DEU CS AI

In president and corporate relations roles, I managed partner relationships, sponsorships and career events.

AI Sponsorship Leadership
04 / 06

BBT İzmir

As a co-founder, I was part of 60+ technology events that reached more than 2,500 participants.

60+ events 2,500+ people Blockchain Entrepreneurship
05 / 06

Production products

With Sano AI, Revna and chat.sanoapp.ai, the work left localhost and reached real users.

Flutter Backend Billing AI
06 / 06

Keep going

I keep combining mobile, backend, billing infrastructure and AI in one product mind.

Product Fintech AI

Academic focus

The subjects that stayed with me.

Instead of publishing every course on a transcript, I group the curriculum into the three areas that most shaped how I build.

01

Computer science foundations

Breaking complex systems into structures, constraints and algorithms before implementation.

  • Algorithms & Data Structures
  • Graph Theory
  • Operating Systems
  • Computer Networks
  • Distributed Algorithms
02

Data & decision systems

Working with uncertain, multi-variable problems through statistics, optimisation and scoring methods.

  • Data Mining
  • Multivariate Data Analysis
  • Combinatorial Optimisation
  • Fuzzy Logic
  • Game Theory
03

Applied software engineering

Turning theory into interfaces, services and reliable systems that can be tested and operated.

  • Object-Oriented Design
  • Mobile Programming
  • Web Programming
  • Embedded Systems
  • Software Testing & Verification

TÜBİTAK 2209-A · 2023/2

Dormify

A personalised student dormitory decision support system

Students were losing time across outdated websites, conflicting comments and choices that were difficult to compare. As a team, we built a mobile product that ranks dormitories according to each student's priorities instead of presenting the same list to everyone.

Four-person research and product team · Academic advisor: Prof. Dr. Efendi Nasiboğlu

~200

students surveyed

21

data variables

4

core criteria

iOS + Android

single codebase

Dormify

Your dorm priorities

★ 5 credits left
1 Price +
2 Room capacity +
3 Amenities +
4 Distance to campus +
See personalised results →
01

Research

We surveyed nearly 200 university students to understand the factors that most influence dormitory choice.

02

Data collection

We combined web scraping with direct research and calls to fill gaps and structure a 21-variable dataset.

03

Decision model

Haversine distance, min-max normalisation and the Simple Additive Weighting method produced a personalised score.

04

Mobile product

We brought the model into a cross-platform flow with preferences, ranked results, maps, favourites and dormitory details.

React NativeFirebaseFirestoreFigmaHaversineSAW

Beyond the classroom

2023 — 2024

DEU Computer Science & AI Community

Founding member · President / Corporate Relations

I helped establish the community and worked on the less visible infrastructure that keeps one alive: partner relationships, sponsorship conversations, career events and bringing students together around technology.

Community buildingEventsCorporate relationsStudent leadership

What it became

The theory matters most when it survives contact with a real product.

That academic foundation now shows up in how I design mobile products, model backend flows and make technical decisions.

See the products → Get in touch

How I work

Three principles I bring to product work.

01

Work across boundaries.

On Sano AI, my work covered the mobile client, billing events, entitlements and the React web application. That context helps me make better decisions at each layer.

02

Treat operations as engineering work.

CI/CD, monitoring, secrets and store review directly affect reliability. I include them in delivery rather than treating them as follow-up tasks.

03

Communicate and coordinate.

Co-founding BBT İzmir and leading a student community gave me practical experience coordinating partners, speakers, volunteers and event operations.

Contact

Open to product engineering opportunities.

Get in touch →