Data Engineer sight-E
Designed and built automated ETL workflows and Machine Learning pipelines. Implemented feature selection, training, testing, data flows (MLOps pipelines). Designed and implemented IoT Energy Asset Control System.
I am a Software Engineer with a Master's Degree in Computer Science for Autonomous Systems from Eötvös Loránd University. My core courses included Data Science, Deep Neural Network Development, and Advanced Algorithms. I have a strong foundation in both theoretical and practical aspects of computer science, which I have applied in various projects and professional experiences. My thesis project focused on optimizing control and machine learning approaches for trading solar power, showcasing my ability to apply complex concepts to real-world problems.
In my professional career, I have worked as a Data Engineer at sight-E, where I designed and built automated ETL workflows and machine learning pipelines. I have experience in managing cloud infrastructure and implementing CI/CD pipelines. My technical skills include Python, SQL, and various cloud services, which I have utilized to create efficient and scalable solutions.
Additionally, I have worked as a Private Tutor, teaching programming and university-level subjects to students. This role has allowed me to strengthen my communication skills and help others gain confidence in their technical abilities. I have also held positions as a Fullstack Developer at multiple companies, where I developed microservices-based applications and collaborated on system architecture and UI/UX design.
I am passionate about continuous learning and staying updated with the latest technologies. My experience spans across various programming languages and frameworks, including React, TypeScript, and Docker. I thrive in collaborative environments and enjoy working with diverse teams to deliver high-quality software solutions.
Overall, I am a dedicated and skilled Software Engineer, eager to contribute to innovative projects and further develop my expertise in the field.
Designed and built automated ETL workflows and Machine Learning pipelines. Implemented feature selection, training, testing, data flows (MLOps pipelines). Designed and implemented IoT Energy Asset Control System.
Teaching 3 students online with a focus on programming and university studies: C, C++, Data Structures & Algorithms, React, Laravel, basic full-stack development.
Developed a microservices-based application on both the server and client sides. Implemented communication using REST APIs and WebSockets.
Developed a full-stack energy consulting SaaS platform. Built a web-based public survey application for the electricity supplier E.ON.
Backend development using Symfony. Developed a monthly expense report Excel file generator using Symfony and PhpSpreadsheet.
Onboarding Javascript tasks. Frontend web and mobile development using React and Flutter.
Master's Degree in Computer Science for Autonomous Systems
Core Courses: Data Science, Numerical Optimization, Deep Reinforcement Learning, Deep Neural Network Development, 3D Computer Vision, Sensor Fusion, Point Cloud Processing, Image and Signal Processing, Advanced Algorithms, Software Technology, Software Testing, Project Management.
Bachelor of Science in Computer Science
Core Courses: Mathematics, Programming Languages, Data Structures & Algorithms, Database Systems, Software Technology.
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