Muhammad Zareii

I build embedded systems and electronics, and develop photonics simulations and machine-learning models.

Start with the STM32 datalogger, delivered to a paying client through five field-iterated versions.

Selected work

Project · Independent paid-client contract · 2024 – 2025

A six-task embedded datalogger delivered to a paying client through five field-iterated versions.

Project · Diffractive optical element fabrication-feasibility analysis

A Python validation pipeline for checking whether simulated diffractive optical designs are physically buildable and measurable.

Project · Mode-division-multiplexed optical interconnects

A compact silicon-on-insulator mode demultiplexer that routes TE₀ and TE₁ to separate output ports.

Experience · Sepidgaman Parseh · 2022–2024

Electronics R&D spanning mixed-signal hardware, embedded firmware, measurement tools and thermal-imaging device inspection.

Project · Resonant metasurface simulation and tissue-spectrum classification

A silicon nanocube resonator and machine-learning pipeline for label-free cancer versus non-cancer cell detection.

Project · Deep learning and classical ML on EEG

A benchmark of three motor-imagery EEG classifiers, with a custom 1D CNN reaching 83.8% accuracy on held-out data.

If my work fits a role you’re hiring for, please get in touch.