I'm a Computer Science student interested in how intelligent systems can understand behaviour, recognize patterns and adapt to changing situations.
A lot of my curiosity starts with a simple question:
What if software could observe what's happening, understand the context and respond instead of simply following rigid rules?
That question has led me down a few interesting paths:
behavioural systems · human–AI interaction · adaptive security · interactive software
01 — Behaviour & Patterns
Understanding how behavioural signals can reveal meaningful patterns.
02 — Adaptive Systems
Exploring how systems can respond to changing context instead of relying entirely on fixed rules.
03 — Human–AI Interaction
Thinking about how intelligent systems can interact with people in useful and meaningful ways.
A few things I've built while exploring questions about behaviour, interaction and adaptive systems.
What if your desktop had a little more personality? An interactive desktop companion that reacts to your activity, applications and coding sessions.
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Can an AI conversation feel more aware of the person behind the message? An emotion-aware conversational system exploring more human-centred interaction.
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What patterns hide inside the way we work? Exploring developer activity, coding rhythms and interaction patterns.
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What if authentication wasn't just a one-time check? A prototype exploring continuous authentication through behavioural signals.
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A few technologies I've used to turn ideas into working systems.
Things currently on my desk.
01 / machine learning
Going deeper into how models learn, behave and perform in real-world applications.
concepts · experimentation · real-world systems
02 / security architecture
Understanding how trust, system design and security layers work together.
system design · trust · adaptive security
03 / behavioural biometrics
Exploring interaction patterns as signals for more continuous and adaptive authentication.
behavioural signals · authentication · pattern recognition
status:still learning. still testing ideas. still changing my mind when evidence disagrees.
currently →
☕ fuel: coffee
🎧 background: something playing
💻 open tabs: probably too many
📚 reading: documentation, usually
A few other places where my work lives.
