AI Engineer - Full Stack Background

ML/AI solutions
for real-world problems

My name is Sebastian, and I hold a Master’s degree in AI with a strong software eng. background. I am passionate about building machine learning systems that solve real-world problems and drive innovation in various industries.

Machine LearningAI SolutionsAPI integrationModel optimizationNLP & Computer Vision

Data first

Model performance is driven by data quality. I prioritize understanding, cleaning, and structuring data before modeling.

Clean code

I write code that is maintainable, readable, and efficient, ensuring long-term sustainability and ease of collaboration.

From model to system

I like thinking beyond the model and consider how it fits into a larger product for real-world impact.

Selected Work

Projects worth opening

A selection of projects that best represent how I approach AI, engineering, and product-minded execution.

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NLP

RAG Knowledge Assistant (ERP)

Retrieval-augmented assistant focused on grounded answers, source context, and domain-specific search.

PythonFastAPIVector DB

Computer Vision

Vertebrate Image Segmentation

Project focused on segmenting vertebrate images, to detect if the spine presents signs of scoliosis.

PythonYOLOOpenCV

Reinforcement Learning

RL for Robotics

Project focused on applying RL techniques to control robotic systems using simulation environments (MuJoCo).

PythonPyTorchMuJoCo

Snapshot

A bit about me,
in case you’re curious.

Years building software

Years building AI

I started in software engineering, where I learned to think in systems. Moving later into machine learning and AI world, I realized that models are only one part of the equation, real value comes from how they integrate, adapt, and behave in production. I’m interested in building AI solutions that are not only accurate, but reliable, interpretable, and usable to solve real world problems.

ML/AI solutions for real-world problems