01 / SELECTED WORK
A focused selection of projects across applied machine learning, intelligent systems, and data-driven applications.
A multi-provider decision intelligence system for turning fragmented music signals into market-aware, confidence-weighted artist and track insights.
Designed the product around provenance, coverage, signal-family rules, and explicit confidence gates so weak evidence is surfaced as weak evidence instead of being forced into a recommendation.
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A production-style fraud platform that turns payment events into calibrated risk scores, policy decisions, alerts, drift reports, and analyst-facing operational views.
Built an end-to-end system that separates model risk from business policy while connecting streaming, point-in-time features, explainability, monitoring, and review workflows.
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A modular audio ML platform for singing-voice conversion, covering dataset validation, model adapters, durable jobs, evaluation, an API, and a local interface.
Designed the platform around reproducible datasets, isolated model adapters, portable compute backends, and a clear separation between implemented capabilities and optional model-dependent workflows.
View case study02 / About
I'm a Computer Science graduate focused on applied artificial intelligence, machine learning, and data-driven product development.
My work spans machine learning, NLP, computer vision, real-time ML systems, and data analysis. I'm particularly interested in building systems that go beyond isolated experiments and become usable, production-oriented products.
I enjoy working across the full technical lifecycle, from framing a problem and preparing data to experimentation, model evaluation, backend integration, monitoring, and communicating results clearly. My projects have included semantic NLP systems, computer vision applications, real-time fraud detection pipelines, and neural audio workflows.
03 / Path
01
Experience
Data Science Intern
Worked with Python, data analysis, visualization, and Power BI to explore data and communicate findings in a professional analytics environment.
02
Education
B.Sc. in Computer Science
Computer Science degree with a focus on software, data, and machine learning foundations.
03
International study
Erasmus study experience, Germany
Completed an Erasmus study period in Germany as part of my Computer Science education.
