hhyurdagul:~λ whoami
Hasan Hüseyin
Yurdagül
Machine learning engineer. Consultant. Deep thinker.
I build things from first principles.
/about
I'm a machine learning engineer working remotely from Turkey, and a consultant to R&D Centers on AI and ML. I hold a degree in Computer Engineering and I'm currently pursuing my Master's in Artificial Intelligence.
/Articles
Thinking on engineering, math, systems, and life.
Six Years, Thirty Companies, and One Bad Tkinter App
How Linux Changed the Way I Think
Small Example of Real Agentic Benchmarks
/projects
Case studies of systems I've built end-to-end.
MLStudio — From a 30-Company Desktop Tool to a Web ML Platform
DeployedA deployed Streamlit platform for training, validating, packaging, and testing regression and neural time-series models, rebuilt from a proven Tkinter product.
Fishometry — Measuring Fish Without a Reference Object
Research complete · Thesis writingCompleted master's-thesis research on estimating fish length from a single image without a ruler or physical reference in the frame.
MdsAI — A Human-Reviewed LLM Platform for Support
Deployed · Active R&DA deployed AI platform that turns four years of noisy helpdesk history into retrieved evidence, answer drafts, routing suggestions, and process intelligence.
Electricity Consumption Forecasting for the Turkish Grid
DoneA completed forecasting application that benchmarks zero-shot TimesFM forecasts against EPİAŞ's official hourly load-estimation plan.
Teus — Forecasting Flash Floods Before They Happen
Analytics complete · App in developmentA hydrologist-validated deep learning system that forecasts river discharge up to 72 hours ahead using sensor history and external meteorologist-produced rainfall forecasts.
/tech
I've been a Linux user since 2016. The journey has been long — from Mint to Arch, a detour through NixOS (beautiful pain), a macOS era (M1 was magic), and finally back home to Arch + Hyprland. Freedom matters. Window managers matter.
Languages I enjoy
I try every paradigm. Systems programming, functional, scripting — understanding the spectrum makes you a better engineer. I create things from scratch to understand them from first principles, it takes time, but it's worth it.
The first thing that amazed me in CS was the linked list — this elegant, recursive data structure where every node points to the next. Then automata theory: the idea that a simple machine with states and transitions could model computation itself.
In AI, autoencoders blew my mind — the idea that a network could learn to compress and reconstruct, discovering the essence of data. And GANs: two networks battling each other, creating something from nothing. Adversarial creation is pure genius.
/work
Lead the AI R&D division directing municipal and enterprise AI strategy. Deployed LLM and sentence-similarity pipelines for support ticketing optimization that cut response times in half, and built automated categorization systems using sentiment embeddings. Also serving as the technical lead for international Horizon Europe consortium proposals such as FloodGuard and Pre-act.
R&D AI/ML Consultancy
Independent ConsultantProvide strategic machine learning, time-series forecasting, and R&D consultancy for flagship e-commerce and fintech platforms. Built semantic search and image classification systems for Inveon, developed end-to-end pricing and churn prediction pipelines on Azure for Moka, and shipped forecasting tools for Ikas and Robokobi.
M.Sc. Artificial Intelligence
Thesis ResearchCompleted Master's in Artificial Intelligence with a thesis focused on monocular depth estimation and attention-driven vision networks. Developed models capable of estimating an object's physical length from a single photograph without requiring physical reference markers in the frame.