About Serkan 👨🏻‍💻

AI Engineer and Software Developer with a strong focus on Artificial Intelligence, Machine Learning, and real-time industrial applications. Specialised in computer vision, image processing, and next-generation AI technologies such as Generative AI (GenAI), Large Language Models (LLM), and AI Agents. Experienced in developing and deploying scalable AI/ML solutions using Python (FastAPI, Django), .NET Core, and C#.

Passionate about driving digital transformation through data-driven solutions, big data management, predictive maintenance, and process automation. Skilled in designing maintainable backend systems, developing REST APIs, and applying SOLID principles. Actively integrates MLOps and DevOps practices to implement CI/CD pipelines that ensure robust and scalable deployments.

With a track record of delivering award-winning projects in manufacturing and industrial environments, I continuously explore innovative technologies to create impactful and efficient AI-powered solutions.

What I'm Doing ‍💼

AI-Powered Process Optimization

Leveraging artificial intelligence, machine learning, and computer vision technologies to enhance industrial processes, improve productivity, and reduce error rates.

Data Management & Analytics

Designing and implementing efficient data collection, processing, and visualization systems to ensure data-driven decision-making.

System Integration & Back-End Development

Developing sustainable and scalable back-end architectures in line with SOLID principles, focusing on seamless integration with existing industrial systems using .NET technologies.

Industrial Computer Vision Systems

Building and deploying computer vision solutions to monitor processes, detect anomalies, and improve quality control with AI-powered image processing.

LLM & Generative AI Solutions

Designing and deploying large language model (LLM) pipelines using tools like LangChain, CrewAI, and Streamlit to build intelligent assistants, document Q&A systems, and contextual search applications with RAG architectures.

Edge AI & Embedded Intelligence

Deploying low-latency AI models on edge devices like Jetson Nano and Raspberry Pi for real-time industrial automation, safety monitoring, and process control in embedded environments.

Serkan Yaşar