About Me
Software Engineer specializing in AI/ML systems and production-ready solutions. Currently part of Datafold's Database Migration Agent Core team, where I architect LLM-powered systems that translate code between any database and ETL framework.
I bring together deep technical expertise in backend engineering and cutting-edge LLM applications, with a proven ability to bridge the gap between complex AI systems and practical engineering solutions. My work involves handling intricate code relationships, developing graph data structures, and scaling production applications.
I combine strong interpersonal skills with technical depth, making me effective in both deep technical discussions and cross-functional collaboration. My engineering approach emphasizes scalability, maintainability, and business value.
Experience
Software Engineer
Datafold
Core team member of the Database Migration Agent, architecting LLM-powered systems that translate code between any database and ETL framework. Leading development of cutting-edge AI solutions for database migration and code transformation.
Started in DevOps role, automating infrastructure and deployment processes, and transitioned to Software Engineering to build the AI-powered migration platform. Improved deployment frequency from weekly to multiple times daily.
Senior DevOps Engineer
PostNL
Led infrastructure improvements and automation initiatives. Implemented monitoring and observability solutions. Worked on scaling mission-critical postal service APIs.
ML/MLOps Engineer
Vantage AI
Delivered machine learning consulting projects for enterprise clients. Built and deployed production ML models. Deployed Google Cloud infrastructure from scratch with Kubernetes clusters to train and serve ML models.
Machine Learning Researcher
Aramco Overseas Company
Built image segmentation application using CNNs for seismic data analysis. Reduced computation time from hours to seconds using deep learning. Delivered lectures on ML/Neural Network principles and mathematics.
Co-Founder & Backend Engineer
Sun.fans
Built backend for website analyzing houses and terraces for optimal sunlight exposure. Achieved 40x data storage optimization without significant accuracy loss. Designed efficient query systems for geospatial data.
Summer Research Assistant
ETH Zurich
Researched ML applications in Computational Seismology. Built autoencoders for fiber-optic distributed acoustic sensing (DAS). Developed methods to distinguish deterministic signals from noise.
Skills & Technologies
Languages
AI & Machine Learning
Cloud & Infrastructure
Publications
Published research in applied Machine Learning
Automatic First Break Picking with Deep Learning
Developed deep learning methods to automatically identify first breaks in seismic data, significantly improving the speed and accuracy of seismic data processing workflows. Evaluated multiple neural network architectures with U-net providing the best results.
Read PaperEvaluation of Neural Network Architectures for First Break Picking
Comprehensive evaluation of various neural network architectures and their effectiveness in detecting first breaks in seismic data, providing insights for optimal model selection in geophysical applications.
View PublicationLet's Connect
I'm always open to discussing new projects, creative ideas, or opportunities
Whether you have a question, want to collaborate, or just want to say hi, feel free to connect with me on LinkedIn!