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dogukanveziroglu/README.md

Doğukan Veziroğlu

Chief Technology Officer @ Kairu

LinkedIn HuggingFace Email


About

Been messing with code since I was 10 — started with game mods, browser game bots, and random scripts that somehow worked. Built AI behavior mods for HOI4 back in the day, which was my intro to making computers do interesting things.

These days I lead AI and backend development at Kairu, building RAG-powered assistants and the infrastructure behind them.


Current Work

At Kairu, I own the technical roadmap and hands-on development for our AI products:

  • RAG Systems — Production pipelines with hybrid search, evaluation frameworks for retrieval quality, techniques to reduce hallucinations
  • Backend Architecture — Domain-driven design, multi-tenant systems, clean APIs with FastAPI/Java
  • Infrastructure — Docker, CI/CD pipelines, observability stack, deployment strategies
  • Team — Code reviews, architectural decisions, mentoring

Projects & Models

Fine-Tuned Models

  • bge-m3-ml-tr-specialized — Sentence Transformer optimized for Turkish technical/scientific text. Trained on 60K paraphrase pairs from translated arXiv papers.
  • ml-paraphrase-tr — Dataset for Turkish ML domain sentence similarity

Production Systems

  • Enterprise RAG chatbot with QDMS integration, multi-tenant support, admin panel — handling document ingestion, vector search, and answer generation
  • Sales assistant platform with multi-agent architecture, analytics dashboard, prompt versioning system
  • Education platform with AI tutoring, live Google Meet integration, quiz system, gamification

ML Pipelines

  • Two-stage fine-tuning pipeline for Turkish embeddings (general → domain-specific)
  • arXiv paper translation and augmentation workflows
  • Model evaluation and comparison tooling

Technical Focus

LLM/RAG          → Retrieval pipelines, embedding models, prompt engineering, eval frameworks
Backend          → FastAPI, Flask, Java, PostgreSQL, Redis, event-driven architecture
Vector Search    → Qdrant, pgvector, ChromaDB, hybrid search (BM25 + dense)
Infrastructure   → Docker, CI/CD, monitoring, multi-tenant isolation
ML Engineering   → Sentence Transformers, fine-tuning, dataset creation, HuggingFace

Also: still occasionally mod games for fun

Pinned Loading

  1. bge-m3-ml-tr-specialized bge-m3-ml-tr-specialized Public

  2. dogukanveziroglu dogukanveziroglu Public

    My personal GitHub profile where I share my programming projects, experiences, and skills in programming.

  3. tr-ml-sentence-transformer tr-ml-sentence-transformer Public

    Türkçe makine öğrenmesi veri setleriyle Sentence Transformer modelini iki aşamalı olarak fine-tune eden, arXiv veri indirme, çeviri, veri birleştirme ve otomatik eğitim pipeline’ı içeren proje.

    Python

  4. SplitWire-Turkey-Linux SplitWire-Turkey-Linux Public

    Forked from cagritaskn/SplitWire-Turkey

    SplitWire-Turkey, çeşitli yöntemlerle kısıt aşma aracı.

    Python 2