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A selection of products, systems, and experiments I've built across AI, software, and data.
High-performance interactive 3D spatial canvas with raymarched volumetric noise, real-time audio FFT frequency analysis, and custom post-processing shaders.
Client-side embedded vector database compiled to WebAssembly with SIMD acceleration, HNSW cosine indexing, and real-time CRDT peer synchronization.
Keyboard-driven modular desktop workspace uniting terminal execution, markdown knowledge graphs, and live telemetry in a distraction-free glassmorphic environment.
Core capabilities, architectures, and technical domains across AI systems, machine learning, and full-stack engineering.
Building applications around LLMs, RAG, multimodal models and intelligent agents.
Predictive modelling, time-series forecasting, feature engineering and model evaluation.
Building complete products from frontend to backend, databases and deployment.
Exploring datasets, modelling approaches and experimental AI systems.
Things I built while trying to understand something.
Engineering workflow & technical stack.
The story behind the craft.
I started by making things people could see.
Before university, I was making YouTube videos, editing footage, designing thumbnails and creating visual identities for clients.
Later, I started building software and became interested in AI and machine learning.
Today, I work somewhere between the two — building technical products while bringing a designer's perspective to how they look, communicate and feel.