Looking for a job

Akif Eren Gülgeç

@akiferenglge

Message

AI-first engineer building end-to-end AI products with LLM/RAG and cross-platform apps.

Turkey

Message

What I'm looking for

I’m looking for a high-ownership team where I can build AI products end-to-end—especially LLM/RAG integrations and reliable AI pipelines—with strong engineering practices and real opportunities to ship quickly.

I’m an AI-first engineer building end-to-end AI products. I specialize in LLM integration and RAG systems, and I ship cross-platform apps—3 AI-powered products, with one live on Google Play.

In my recent work, I built a cross-platform productivity tool for instant clipboard sync and AI-powered screen analysis. I achieved 30 ms text transfer and sub-1-second image sync using Electron, Flutter, C#, and Supabase, and integrated Gemini, Claude, OpenAI, and Ollama through a unified, privacy-first architecture.

I also develop AI features that are grounded and reliable. I built an intent-aware RAG pipeline (FastAPI + PostgreSQL/Supabase) where retrieval finds relevant passages, SQL verifies the original source, and the LLM generates grounded explanations to reduce hallucinations—plus speech-to-text, semantic retrieval, and personalized recommendations.

Experience

Work history, roles, and key accomplishments

CTRL2PHONE

Jun 2026 - Jun 2026 (0 months)

Built an open-source cross-platform productivity toolkit for instant clipboard sync and AI-powered screen analysis. Achieved ~30ms text transfer and sub-1-second image sync, integrating Gemini, Claude, OpenAI, and Ollama via a unified, privacy-first interface.

Electron Flutter C#Supabase Clipboard Sync Gemini Claude OpenAI Ollama AI Integration Privacy First

Huzur Keşfi

Mar 2026 - May 2026 (2 months)

Developed an AI-powered wellness application published on Google Play. Implemented a FastAPI backend with an intent-aware RAG pipeline that uses SQL source verification to reduce hallucinations, integrating Supabase/PostgreSQL, Firebase, and DeepSeek for content, analytics, crash reporting, and AI conversations.

fastAPI RAG PostgreSQL Supabase Firebase Deep Seek Intent Aware Retrieval Speech to Text Personalized Recommendations Analytics Crash Reporting Deployment Managed Google Play

SESLİ NOTAİ

Built an AI pipeline that converts voice recordings and YouTube videos into structured PDF reports. Implemented an LLM-based hallucination verification layer, a FastAPI backend with asynchronous inference APIs, and integrated Whisper and Deepgram for transcription accuracy.

Whisper Deepgram Flutter fastAPI Asynchronous Inference APIs Speech to Text