Martin Høst Normark
Engineering the Uncertain: My Probabilistic Path
About Me
Hi there! I’m Martin, a software engineer (aspiring ML engineer and data scientist) with a probabilistic mindset, crafting tools that balance uncertainty with precision. My journey spans building scalable systems, leveraging machine learning, and designing data-driven tools that empower teams and redefine possibilities. Explore how I bring statistical rigor and creative engineering to solve complex problems in a world of probabilities.
Check out my blog →Skills
- Engineering Leadership: Guiding teams to deliver high-impact projects with a balance of technical precision and user-focused value.
- Machine Learning & AI: Proficient in computer vision, natural language processing, and statistical modeling using tools like TensorFlow, PyTorch, and Jupyter.
- Probabilistic Thinking: Applying statistics and probability to design robust systems capable of handling uncertainty and optimizing decision-making.
- Cloud Architecture: Designing and deploying scalable, secure solutions on Azure, AWS, and Cloudflare, with expertise in cloud-native tools and best practices.
- Full-Stack Development: Building end-to-end applications using React, Angular, Node.js, TypeScript, and C#.
- Data Science Expertise: Skilled in data manipulation, visualization, and analysis with Pandas, NumPy, and Seaborn.
- API Design and Scalability: Developing efficient backend systems using event sourcing, CQRS, and database optimization techniques.
- User Experience Sensitivity: Creating intuitive interfaces and workflows, with a focus on usability and feedback-driven improvements.
- Prototyping and Experimentation: Rapidly exploring new ideas and technologies to test feasibility and drive innovation.
- Collaboration and Mentorship: Coaching technical talent, fostering cross-functional collaboration, and nurturing a culture of continuous learning.