I'm a developer working on artificial intelligence. I build products with natural language processing (NLP) that genuinely work in Turkish. These days I do that at EcoFluxion.
AI developer
In short: I turn artificial intelligence that comes out of research into products people can rely on day to day. Most of the time that means adapting a language model to a problem, grounding it in the right information, and carrying the whole thing into production.
I care about the whole path — from experimenting with a model to shipping something real users trust.
I work with natural language processing (NLP) and language models — building reliable systems that ground their answers in real sources.
I want everyone who speaks Turkish to have powerful, accurate artificial intelligence in their own native language.
In short: I take an AI idea and turn it into a product people can trust and use. Most of my work goes through the same three steps.
First I adapt a language model to the problem at hand. Then I connect it to real sources with RAG so it can’t “make things up.” Finally I carry the whole thing into production and make it scalable and reliable.
These days I do this at EcoFluxion — mostly on İçtiHub, which we’re building for the legal field.
The main areas he works on — from language and AI technologies to environmental data modeling.
He trains and ships his own models, fine-tuned for the Turkish legal language, into production.
Understanding Turkish and multilingual text: classification, inference and meaning-based processing.
A retrieval architecture that stops the model from “making things up” and grounds answers in real documents.
Fast search based on meaning rather than keywords. Precise retrieval across large archives.
Agent architectures that use tools and route intelligently via the Model Context Protocol.
Training, fine-tuning and continuous deployment on large-scale infrastructure. Experience with TRUBA and HPC.
With an environmental-engineering background, he also works on modeling air pollutants and forecasting air quality — applying data and machine learning to environmental problems.
In-depth, research-based writing on artificial intelligence, legal technology and startups.
How do multimodal models combine image, text, and audio in a single system? We explain vision-language models, the shared embedding space, and real use cases with intuitive analogies and short code.
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How do diffusion models generate images? The forward and reverse processes, the path from noise to image, and Stable Diffusion's latent space — explained intuitively and accurately with everyday analogies.
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Knowledge distillation transfers a large teacher model’s knowledge into a small, fast student model. We explain soft labels, temperature, and the distillation loss, and why, how, and when it works, with intuitive examples.
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An intuitive guide to LoRA and PEFT: adapting a model without training all of it, using small low-rank adapters, the memory/cost advantage, and practical usage tips.
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What are prompt injection and jailbreaks, and how do they work? We explain the risks in RAG and agent systems, plus layered defenses, with plain everyday analogies.
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Function calling and structured output turn a language model from a free-text chatter into a component you can wire into your systems with confidence. We explain JSON generation, schema enforcement, and robust integration practices with intuitive examples.
ReadThe turning points of a story that runs from tech to building products.
He deepened his interest in software and artificial intelligence through academic and applied work, focusing on natural language processing.
He took part in large-scale artificial intelligence work in environments such as TÜBİTAK events, TRUBA (the National e-Science infrastructure) and EUMaster4HPC.
He brought EcoFluxion Teknoloji A.Ş. to life as a co-founder at METU Technopark in Ankara. The goal: its own artificial intelligence products focused on Turkish.
He is developing İçtiHub with an LLM and RAG architecture built specifically for the Turkish legal language, and is running artificial intelligence projects with public institutions.
If you'd like to talk about artificial intelligence, products or a possible collaboration, don't hesitate to write.