İzmir, Türkiye
Industrial Engineer | AI & Machine Learning Engineer | Full-Stack AI Application Developer I don’t just build models; I build solutions. As an Industrial Engineer with a strong background in AI, I focus on the productization of artificial intelligence by transforming complex architectures into interactive, user-facing applications. 🚀 2025 in Review: Published 31 technical stories on Medium and contributed 200+ times to GitHub, reaching the Top 20% Universal Rank. My work bridges the gap between raw data and actionable AI tools. Core Expertise: 🧠 Advanced NLP: End-to-end pipelines for summarization (BART, T5, Pegasus), NER (BERT), and sentiment analysis. 🎧 Speech & Audio: Building ASR/TTS tools, including automated YouTube summarizers using Whisper and LLMs. 🖼️ Generative AI & Vision: Creative image/video generation and automated business reporting from visual data (SmolVLM). 🛠 Automation & DevTools: Creating tools like AutoDocX to automate software documentation using Abstract Syntax Trees (AST). Tech Stack: • Models: GPT-4o, Gemini 2.5 Pro, Llama, BERT, BART, Whisper. • Deployment: Streamlit, Flask, Gradio, Hugging Face Spaces. • Languages: Python (Expert), SQL, Mermaid.js. 🚀 AI-Powered Services: - Software Development: Building production-ready AI micro-services with Streamlit & Flask. - Data Reporting & Analysis: Autonomous business reporting and PDF generation from visual/raw data using SmolVLM. - Transcription & Smart Summarization: Transcribing and summarizing audio/video content using Whisper & NLP pipelines. - Technical Writing & Documentation: Automating code documentation and technical content strategy. - AI Content Strategy: Market insight mining via sentiment analysis and automated content workflows for Real Estate & E-commerce. Let’s collaborate on the next generation of AI tools. 📧 [email protected] 🔗 GitHub: https://github.com/ctntrk 🔗 Hugging Face: https://huggingface.co/ctntrk
Developing and maintaining a diverse portfolio of open-source AI applications, focusing on the integration of Large Language Models (LLMs) into functional productivity tools. NLP & Content Automation: Designed and deployed end-to-end NLP pipelines for automated text summarization (BART, T5), sentiment analysis (RoBERTa), and Named Entity Recognition (NER), reaching the Top 20% Universal Rank on GitHub in 2025. Multimodal Systems: Built speech-to-text tools and automated YouTube video summarizers using OpenAI’s Whisper and Hugging Face Transformers. Developer Productivity Tools: Developed AutoDocX, a Python-based tool that uses Abstract Syntax Trees (AST) to generate automated documentation for source code. Model Deployment: Deployed 10+ interactive AI demos on Hugging Face Spaces using Streamlit, Gradio, and Flask, making complex models accessible via user-friendly web interfaces. Technical Visualization: Documented complex AI architectures and workflows using Mermaid.js to bridge the gap between high-level logic and technical implementation.
Synthesizing complex AI research into actionable technical articles, focusing on the bridge between theoretical models and real-world implementation. NLP Benchmarking: Published a series of comparative analyses on Transformer-based models (BART, T5, PEGASUS), evaluating their performance in text summarization and semantic understanding. Multimodal Workflows: Authored detailed guides on building hybrid AI systems, such as automated YouTube transcription-to-summary pipelines using Whisper and yt-dlp. Generative Media Production: Documented end-to-end creative workflows using FLUX.1, LTX-Video, and Suno/Bark, exploring the intersection of generative AI and digital content creation. Deployment Tutorials: Created step-by-step documentation for deploying AI prototypes using Streamlit, guiding developers on how to turn Python scripts into interactive web applications. Audience Impact: Reached a global audience with 31 published stories, focusing on making open-source AI accessible to the developer community.
Leveraging state-of-the-art generative models to transform creative concepts into high-fidelity digital assets, specializing in automated media production workflows. Generative Image Synthesis: Mastering advanced prompt engineering and diffusion-based workflows (FLUX.1, Stable Diffusion) to create photorealistic and stylized visual content for digital branding and assets. AI Video Production: Designing end-to-end AI-driven video pipelines using LTX-Video, Runway, and Kling to generate cinematic sequences, focusing on temporal consistency and motion control. Audio & Voice Synthesis: Integrating generative audio tools like Suno and Bark to produce AI-generated soundtracks and realistic voice-overs, enabling fully automated multimedia content creation. Trend Analysis & Tool Benchmarking: Continually evaluating and implementing the latest generative AI tools to maintain a competitive edge in the rapidly evolving GenAI landscape. Yetenekler: AI Image Generation, AI Video Generation, Generative Media Production, Prompt Engineering
Kaggle · Open Source AI Contributor Apr 2023 – Present · 2 yrs 10 mos "I improve my technical depth by writing clean, reproducible code and engaging in high-level AI discourse." Generative AI & Diffusers: Authored comprehensive notebooks on Stable Diffusion and Hugging Face diffusers, focusing on text-to-image generation, parameter tuning, and the architectural nuances of Latent Diffusion Models (LDM). NLP Pipeline Optimization: Designed and documented end-to-end NLP workflows, ranging from advanced text preprocessing (lemmatization, stopword removal across multiple languages) to deploying summarization models using Transformers (BART, T5). Technical Knowledge Synthesis: Recognized as a Discussions Expert for translating complex AI research into accessible community guides, including deep learning library comparisons and "MindMaps" for NLP/LLM roadmaps. Predictive Modeling: Developed high-performance regression models using LightGBM and Cross-Validation (CV) strategies, achieving competitive scores in tabular data challenges (e.g., Abalone Dataset). Community Leadership: Facilitated technical discussions on emerging AI trends (TechCrunch/arXiv insights), reaching 1,000+ views and consistently ranking in the top tier of active contributors. Automated Data Tools: Built and shared utility scripts for developer productivity, including web scraping agents and automated CSV-to-JSON web converters. Skills: NLP, Generative AI (Stable Diffusion), Python, LightGBM, Hugging Face, Data Preprocessing
• Günlük vardiya raporlarının hazırlanması • Günlük kalıp ve döküm verilerini ERP sistemine girilmesi • Haftalık plandaki ürünlerin ERP sisteminde iş emirlerinin açılması • Üretilen ürünlerin ürün ağaçlarını ERP sisteminde oluşturmak ve düzenlemek