Live Portfolio · Hugging Face · Werea · LinkedIn · Email
I build open AI systems for Turkish language understanding and production use. My work spans compact retrieval models, speech and text restoration, OCR, edge vision, and defensive security. I publish models, datasets, benchmarks, and interactive demos through my personal Hugging Face profile and Werea.
| Project | Focus | Explore |
|---|---|---|
| DÜŞÜNEN Retrieval Stack | Turkish embeddings, Matryoshka representation learning, reranking, hard negatives, and evaluation | Rota 270M · Atlas 278M · Benchmark |
| Werea Turkish NLP | Diacritics restoration, summarization, QA, NER, intent, topic, sentiment, and NLI | TextRestore · Summarizer · QA |
| Turkish Speech & OCR | ASR, TTS, printed-text OCR, and document understanding | Dinle ASR · Oku OCR · Werea TSS · DocOCR |
| Security AI | SOC assistance, incident analysis, defensive workflows, and security operations interfaces | NanoSOC · Argus · Security Console |
| Edge Vision | Person detection for edge accelerators and constrained inference environments | Gemstone Detector |
- DÜŞÜNEN Search Lab — Turkish semantic search
- DÜŞÜNEN Vector Lab — embedding and Matryoshka exploration
- DÜŞÜNEN Oku Demo — Turkish OCR
- Werea TSS — Turkish text-to-speech
- Argus — endpoint security product showcase
- Modeling: PyTorch, Transformers, Sentence Transformers, PEFT/QLoRA
- Retrieval: dense embeddings, reranking, hard-negative mining, RAG evaluation
- Deployment: ONNX, quantization, edge inference, Gradio, Hugging Face Spaces
- Domains: Turkish NLP, speech, document AI, computer vision, blue-team security
I also work on device-level product experiments. My customized Glyph Developer Kit explores real-time delivery progress on Nothing Phone's Glyph Interface.
The public portfolio currently includes 30 models, 20 datasets, and 9 Spaces under GoktugD, with additional organization releases under Werea.
The machine-readable catalog and weekly synchronization workflow live in open-ai-portfolio.
Open to research collaboration, applied AI work, and technically ambitious product teams.