Product Engineer · Applied AI · Cross-Platform Türkiye · Remote

I turn complex AI systems into products people can actually use.

I build and productize web, mobile, and desktop experiences—from local open-source LLMs and production RAG to cloud operations, store launches, analytics, and growth.

Web Mobile Desktop AI Systems
6 selected production products
190K+ mobile downloads
12M legal decisions in RAG
200+ countries reached by platform
Selected Work

Products I built—not portfolio concepts.

Production products with real users, operational constraints, release cycles, and measurable outcomes. Most source code is proprietary; the live products are the proof.

01
Voiser AI
Real-time AI translation

Live Voiser

Built a browser-based event platform with QR access, live captions and translation in 125+ languages, sub-second delivery, transcripts, and AI summaries.

Real-time Web Cloud STT & Translation
Direct product development
02
Voiser AI
Local-first, private AI

Lokus

Built a desktop AI workspace for macOS, Windows, and Linux with local LLMs, document RAG, clickable citations, editable artifacts, controlled tools, and air-gapped deployment.

Desktop Local LLM RAG Air-gapped
Direct product development
03
Voiser AI
AI reading and listening

Voiser AI Book Reader

Built an iOS and Android reading experience with EPUB, PDF, and TXT import, natural AI narration, summaries, personal libraries, and read-listen continuity.

Mobile iOS & Android TTS Content
Direct product development
04
Voiser AI
End-to-end AI video production

Clipa

Built the full short-form pipeline from topic research and sourced scripts to AI visuals, animation, narration, music, captions, and delivery for TikTok, Reels, and YouTube Shorts.

Agentic Pipeline AI Media Automation Web
Direct product development
05
Lawly · Independent company
Mobile legal assistant

Lawly AI Mobile

Built the iOS and Android product for legal drafting, file summarization, source-backed research, custom assistants, and UDF/PDF/DOCX export.

Mobile Legal AI Document Workflows Research
Direct product development
06
Lawly · Independent company
Commercial on-prem legal AI

Lawly Local

Built a desktop/on-prem product with locally running open-source LLMs, hardware-aware model distribution, offline deployment, and production RAG over 12M Turkish judicial decisions.

On-Prem Open-source LLM RAG 12M Decisions
Direct product development
Capabilities

One engineer across the product surface.

The common thread is ownership: choosing the right architecture, shipping the product, operating it, and learning from how people use it.

Next.js React TypeScript Flutter Expo Swift Kotlin Tauri Electron Google Cloud Firebase Supabase PostgreSQL PostHog
01

Cross-Platform Products

I carry one product vision into production across web, mobile, and desktop.

Next.js React TypeScript Flutter Expo Swift Kotlin Tauri Electron
02

Applied AI & Local Systems

I build local inference, retrieval/reranking, and production RAG, with Turkish-legal fine-tuning experiments on compact 0.7–0.8B models.

Open-source LLMs Local Inference RAG Retrieval Reranking Fine-tuning TTS STT
03

Cloud & Platform

I operate the services, data, and infrastructure layers behind AI products.

GCP Azure VMs Managed APIs Storage PostgreSQL Firebase Supabase
04

Release, Stores & Growth

I do not stop at development; I release, measure, and build the growth loop.

App Store Connect Play Console Store Listings & Creatives ASO SEO RevenueCat PostHog Firebase Analytics Meta SDK TikTok SDK
05

AI-Native Engineering

I integrate coding agents across planning, implementation, debugging, testing, review, and documentation—not just prompting for snippets.

Codex Claude Code OpenCode Prompt Engineering Agent Workflows Markdown Specs Debugging Testing Review
Career

From mobile developer to end-to-end product engineer.

My scope expanded with the products: from shipping mobile apps to owning AI systems, cross-platform delivery, cloud operations, distribution, and growth.

Primary role

Product Engineer

Voiser AI

Directly building Live Voiser, Lokus, Clipa, and Voiser AI Book Reader while owning delivery across web, mobile, desktop, AI, and cloud layers.

  • Real-time multilingual products and local-first AI systems
  • Production operations across GCP and Azure
  • Store, analytics, ASO/SEO, and growth operations
React Next.js Flutter Desktop LLM Cloud
Independent from Voiser

Product Engineer · Parallel Engagement

Lawly

Directly building Lawly AI Mobile and the commercial on-prem product Lawly Local, including local open-source LLMs, model distribution, and production Turkish legal RAG.

  • Retrieval and reranking over 12M decisions
  • Local model packaging, distribution, and air-gapped deployment
  • UDF/PDF/DOCX-focused legal workflows
On-Prem Local LLM RAG Mobile Legal AI
Previous role

Mobile App Developer / Product Builder

OdaMobil Teknoloji

Directly developed 5+ Flutter products from idea and Figma design through monetization, analytics, store release, and growth.

  • 190K+ combined mobile downloads
  • SnapSolver, Plantoo, AI Headshot Studio, Sketch Drawing, and Voxi
  • RevenueCat, Firebase/Supabase, ASO, and analytics
Flutter Firebase RevenueCat ASO Analytics
About

I work like a product team compressed into one engineer.

I started in mobile development, then followed the products wherever they needed to go: web, desktop, cloud infrastructure, AI systems, app stores, analytics, and growth.

Today I am most useful where a product has to move from an ambiguous idea to a reliable system in users’ hands. I can reason about the model, build the interface, operate the cloud layer, ship to stores, and measure what happens next.

Oğuzhan Yıldırım
Oğuzhan Yıldırım Product Engineer · Applied AI & Cross-Platform Products LinkedIn
HOW I WORK

An integrated product loop

  1. 01
    Frame the product

    Clarify the user, constraint, business model, and success signal.

  2. 02
    Design the system

    Choose the experience, architecture, AI approach, and operating model together.

  3. 03
    Build across surfaces

    Ship the right combination of web, mobile, desktop, backend, and cloud.

  4. 04
    Release with discipline

    Handle stores, metadata, compliance, rollout, observability, and reliability.

  5. 05
    Measure and iterate

    Use analytics, feedback, and growth experiments to decide what comes next.

Background

Engineering foundation and team leadership.

Education

Konya Technical University

B.Sc. Computer Engineering · 2019–2023

GPA 3.3 / 4.0
TEKNOFEST

Team Captain · 3x Finalist · 2020–2023

Led two engineering teams at Teknofest — Turkey's largest tech competition. Achieved 2nd and 4th place nationally. Managed multidisciplinary student teams through research, prototyping, testing, and reporting.

Contact

Need an AI product shipped—not just prototyped?

If you are building a web, mobile, desktop, or on-prem AI product and need someone who can own the whole delivery system, let’s talk.