About me
Machine Learning Engineer with a software engineering background and experience building production-ready machine learning systems. My work spans the full ML lifecycle, from data preparation and feature engineering to model development, deployment, monitoring, and backend integration.
Before moving into machine learning, I worked as a software engineer, designing scalable APIs, data processing pipelines, and software applications. This experience helps me build ML solutions that are reliable, maintainable, and easy to integrate into production systems.
I enjoy solving real-world problems with data and continuously expanding my knowledge in LLMs, AI agents, and modern ML systems.
What I'm Doing
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Machine Learning & AI
Building and deploying machine learning models, developing end-to-end ML pipelines, and integrating AI solutions into production systems. Currently exploring LLMs, AI agents, and modern generative AI applications.
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Software Engineering
Building full-stack web applications, backend services, desktop applications, and APIs, with a focus on clean architecture, maintainability, and reliable software delivery.
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Data Engineering
Building data pipelines, preparing and transforming datasets, and developing reliable data workflows that support machine learning and analytics.
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MLOps
Deploying, monitoring, and maintaining ML systems, with experience in model integration, batch inference, performance monitoring, and scalable infrastructure.
