AIBaha Erdoğan

Baha Erdoğan
AI/ML Engineer · Computer Engineer
AI & Software Consultant at AkademiSa
About Me
I'm a computer engineer, and I've been building applied AI systems since 2021, when I made Toolongtoread.com, a text-summarisation site, on my own before large language models went mainstream. I studied Computer Engineering at Bahçeşehir University with a minor in Business Administration, interned at Testinium, GroupM and Halkbank, and spent 2023 at Riga Technical University working on deep learning for the Baxter robot.
From 2024 to 2025 I was part of Huawei's AI R&D team in Istanbul, working on computer vision and language models. Among the team projects were an ID-card verification system that the UAE government now uses and computer vision for traffic, fire and security monitoring at the Port of Athens. Since 2025 I've been an AI and software consultant at AkademiSa, taking early-stage startups from an idea to a working product.
On this site I write about AI, technology, history and economics, in English, Turkish and German. Outside work I volunteer with TOG and TEMA and make videos about software and AI on YouTube.
Blog
Deep dives into AI architecture, computer vision algorithms, and socio-economic essays.
AI
AIWhy Building an AI Startup Is So Hard: Production Reality
Why most AI startups fail once they meet production: vibe coding, inference costs nobody calculated, weak teams, short runways, and the "wrapper" trap.Read article
AIWill Artificial Intelligence Replace My Job?
Will AI take your job? Two questions answer most of it: is it feasible, and what does it cost?Read article
AITypes of Agentic AI and How to Build Your First Agent
The five common types of AI agents, what each one is good for and where each one breaks, plus a practical path to building your first agent.Read article
AIAgentic AI in Depth: Planning Models, Memory and Orchestration
Part 3 of the agentic AI series: how agents plan (BDI, ReAct, ReWOO), how they use tools and memory, and the orchestration patterns that keep them reliable in production.Read article
AIAgentic AI vs Generative AI: Architectural Differences and Chatbot Impact
Generative AI writes an answer; agentic AI runs a loop until a task is done. The architectural differences, the trade-offs in production, and what changes for chatbots.Read articleExplore More Blog Posts
Engineering Notes, AI Research, History & Technology Insights
Oğuz Kağan Epic
Explore the legendary Turkish epic of Oğuz Kağan, a tale of leadership, conquest, and societal foundation. Discover how this ancient narrative influences cultural history.
Introduction to Machine Learning
A comprehensive guide to understanding machine learning fundamentals, algorithm classifications, optimization objectives, and real-world deployment patterns.
Ergenekon Epic
Delve into the Ergenekon legend, a foundational narrative of resilience and cultural rebirth. Learn about its historical context and historical interpretations.
Are AI Models Changing Value and Productivity Dynamics?
An inquiry into productivity metrics, AI-assisted economic leverage, and how automated tooling shifts professional value attribution across technical fields.
Anomaly Detection in Machine Learning
Unlike standard supervised learning tasks, anomaly detection operates on severe class imbalance. A review of statistical, distance, and deep learning outlier detection techniques.
Estimating Object Speed from Video without Prior Information
A technical breakdown of estimating object velocity in uncalibrated monocular video streams using Structure from Motion (SfM) and 3D camera reconstruction algorithms.
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