David Sipos

Building an adaptive health layer that connects training data with real-time nutrition planning.

I collaborate with software development companies in various capacities as a developer, technology advisor, or development lead depending on project needs. As a Development Lead (CTO role), I am responsible for selecting the right technologies for each project, designing and implementing system architectures, creating database models, and managing project timelines and development coordination. As an AI Advisor, I focus on the practical integration of existing AI technologies into business workflows. This includes building automation pipelines (e.g., with Make.com), developing voice AI agents, researching and testing new AI tools, and implementing innovative solutions such as MCP servers and AI-driven automations. As a Developer, I contribute to legacy or ongoing projects by implementing high-quality, maintainable code and delivering assigned features efficiently. My work consistently bridges the gap between technical innovation and business value, helping teams adopt AI technologies effectively, streamline operations, and enhance their product capabilities.

Founded and established the Fesztiválmagazin blog, dedicated to providing comprehensive festival information and insights, with a focus on Hungarian festivals. Actively curate and share valuable content, ensuring festival enthusiasts have access to up-to-date and relevant information.

Propertizer is a real estate data platform, which helps individuals and professional investors to explore different property investment options for short-term, long-term, and house-flipping scenarios while providing clear and understandable return projections.

Revolutionizing how people sell, buy, lease, rent, and interact with real estate with technology, professionalism, and love.)

Budapest, Hungary We help real-estate enterprises to reduce costs, improve services and boost revenues. Livlia API is also backing up Livlia.com which offers unique real-estate solutions in Hungary for more than 660+ SMBs, 4500+ agents on a monthly basis.

Collaborated with a talented team to work with Django, a high-level Python web framework, to enhance the platform's capabilities. Took an active role in developing and implementing new features, resolving issues by debugging and fixing bugs, and maintaining the code quality through rigorous testing procedures.

Successfully conducted instructional sessions for two separate groups in a comprehensive 10-week course, focusing on Python basics. Effectively communicated fundamental Python concepts, programming principles, and practical skills to students, fostering their understanding and proficiency in the language.

Collaborated with the Library team to enhance operational efficiency by developing custom Python tools tailored to meet the team's specific needs and streamline various tasks.

Contributed to the development and maintenance of Odoo modules by creating new modules and addressing issues in existing ones. Collaborated effectively within a team of six professionals, utilizing a ticketing system to efficiently track and manage requests.

This Nanodegree covers the fundamentals of Machine Learning and Deep Learning. Students will learn to build intelligent systems using Python and popular data science libraries and will gain hands-on experience by developing a machine learning workflow on a real-world dataset. By the end of the course, students will have a solid understanding of the basics of Machine Learning and Deep Learning.

Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).

Not finished