Portfolio

Built with depth.

Product and engineering work across applied AI, reliable voice systems, commercial acoustic software, and embedded DSP.

01

JustCall - reliable voice practice

A voice-first language-practice product with a React Native app, authenticated TypeScript backend, real-time AI conversation, and explicit session-reliability safeguards.

TypeScriptReact NativeHonoSupabaseVoice AITesting
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Abstract green waveform representing audio evidence and acoustic analysis02

SoundLens - AI-assisted acoustic investigation

An AI-assisted platform for investigating recordings, product variants, test conditions, and algorithm outputs using deterministic DSP evidence.

C#/.NETReactAI CopilotDSPEvaluation
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Vehicle in an engineering inspection chamber representing commercial acoustic modelling workflows03

Acoustic engineering software for Transfer Path Analysis (TPA) and noise-emission modelling

Full-stack commercial software for acoustic analysis, model comparison, and validation.

C#/.NETReactAcoustic softwareValidationTechnical users
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Loudspeakers and audio equipment representing embedded crossover development04

Digital audio crossovers on ARM Cortex-M7

An MSc thesis implementing and evaluating loudspeaker crossover processing on an ARM Cortex-M7.

Embedded audioDSPLoudspeakersARM Cortex-M7
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Colourful data visualisations representing psychoacoustic metric comparison05

Sound Quality POC

A commercial proof of concept for comparing sounds using psychoacoustic metrics.

Sound qualityPsychoacousticsAcoustic metricsProduct workflow
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Technical depth, shaped into usable products.

01TypeScript02React Native03Hono04Supabase05Voice AI06Testing07C#/.NET08React09AI Copilot10DSP11Evaluation12Acoustic software13Validation14Technical users15Embedded audio16Loudspeakers17ARM Cortex-M718Sound quality19Psychoacoustics20Acoustic metrics21Product workflow

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Each case study explains its context, technical focus, and product considerations without overstating confidential outcomes.

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