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Thinking in public, one system at a time.
Long-form technical notes on language models, retrieval, evaluation, representation learning, and the work required to turn an idea into a dependable system.
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From Contrastive Learning to World Models
A Practical Roadmap Through Visual Self-Supervised Learning
A technical roadmap through visual self-supervised learning, from negative-pair contrastive objectives to explicit embedding regularization, latent prediction, and V-JEPA-style world models.
Notes on Reliable RAG Systems
A short placeholder note for future writing about retrieval quality, latency, and LLM assistants.
Super-Resolution for Digital Elevation Model Data
A graduation project on enhancing DEM resolution with SRGAN and ESRGAN, using terrain data from Turkiye and Austria.
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