NeuralBridge
Predictive machine learning for heavy industrial machinery. Deployed models, not demos.
- The problem
- Data pipeline
- Model training
- Deployment
- Field results
Computer engineering student building across the stack, from bare-metal C and OS internals to machine learning and the browser.
Open to internships and research
I learn by building, and I build things I would use myself. Precise, deliberate, and measured by outcomes rather than demos.
My toolkit, layer by layer. The interface sits on top, and the bottom layer is the one closest to the silicon.
Four projects, each with its own generated cover. Drag the glass lens over any of them to look closer.
Predictive machine learning for heavy industrial machinery. Deployed models, not demos.
Low-level tooling for multi-core ARMv8 architectures and custom OS internals.
A quantum circuit simulator built to make simulation accessible to curious minds.
An autonomous drone platform with perception and control, deployed on ARM targets.
Read it like a logic analyser: each line went high for a while, and each one changed how I work.
Built accessible tooling for a research group, turning internal workflows into something anyone could use.
Designed predictive models for heavy industrial machinery to cut unplanned downtime.
Worked on multi-core ARMv8 architectures and custom OS internals, where silicon meets software.
Contributed to open research projects, making complex systems legible and reproducible.
Open to internships, research, and ambitious engineering problems.
Placeholder address. Final contact details are on the way.