Konya, Türkiye
I don’t just analyze data; I build intelligent systems that interact with it. As an AI Engineer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), I focus on bridging the gap between raw data and actionable AI solutions. My core expertise lies in architecting advanced Retrieval-Augmented Generation (RAG) pipelines. I specialize in building context-aware assistants that solve complex enterprise problems—moving beyond simple chatbots to high-performance, document-intelligent systems. What I bring to the table: - LLM Orchestration: Designing autonomous agents and assistants using LangChain, Gemini API, and OpenAI. - RAG Architecture: Implementing efficient retrieval systems with vector databases like ChromaDB. - Full-Stack AI: Developing user-ready AI tools with Streamlit and optimizing backend workflows. - Technical Mentorship: As a Python Tutor at Kodland, I have trained 100+ students, sharpening my ability to simplify complex AI concepts. I am currently following the roadmap.sh/ai-engineer to stay at the forefront of Agentic workflows and o1 reasoning models. My mission is to build AI that creates measurable value through automation and intelligence. Tech Stack: Python, LangChain, RAG, Vector DBs (ChromaDB), NLP, LLMs, Gemini/OpenAI API, Streamlit, SQL. Always learning, always building.
Bilgisayar Mühendisi olarak, genç yeteneklerin programlama dünyasına sağlam bir adım atması için mentorluk ve eğitmenlik yapıyorum. Kodland eğitmenlik deneyimimle, başlangıç ve orta seviye için Python ve Yapay Zeka temelli özel ders programları oluşturuyorum. Sunduğum Değer: - Proje Odaklı Öğrenme: Soyut kavramlar yerine somut uygulama ve çıktılar. - Güncel Teknoloji Entegrasyonu: Kodlama süreçlerinde Yapay Zeka araçlarının (LLM) etkin kullanımı. - Mühendis Bakış Açısı: Sadece kod yazmayı değil, algoritma kurmayı ve problem çözmeyi öğretme. Kariyer yolculuğunuza veya çocuğunuzun teknoloji eğitimine Python ile güçlü bir başlangıç yapmak için benimle iletişime geçebilirsiniz.
Advanced AI & Programming Mentorship: Leading in-depth training sessions on advanced Python, Object-Oriented Programming (OOP), and Artificial Intelligence for students aged 9-17, fostering a new generation of developers. AI Project Delivery: Guiding the end-to-end development of practical AI applications, including Natural Language Processing (NLP), image object detection, and classification models. Full-Stack & Database Engineering: Supervising the architecture of Flask-based web applications and SQL-driven database projects, emphasizing clean code, scalability, and modular design. Technical Curriculum Implementation: Deconstructing complex algorithmic concepts and AI frameworks into digestible, project-based learning modules to enhance technical literacy.
Data Workflows & Automation: Designed and optimized end-to-end data processing, transformation, and modeling workflows using KNIME to streamline data pipelines. Machine Learning Implementation: Developed and deployed various ML models, including Classification, Regression, Clustering, Association Rules, and Anomaly Detection, to solve complex real-world challenges. Advanced Research (Causal ML): Conducted a comprehensive literature review and authored a technical report on Causal Machine Learning, focusing on identifying cause-and-effect relationships within data. Database Management: Executed complex queries using SQLite and performed comparative performance analysis between SQL-based processes and their Python equivalents. Data Visualization & Analytics: Analyzed and utilized various visualization libraries to transform raw data into actionable insights, selecting the most effective visual formats for different data structures.