Hi, I'm Adi

Hardware systems engineer, founder, and tech enthusiast.

I’m a hardware systems engineer, founder, and tech enthusiast. I like learning how people use the tools we build, then turning that context into systems that make work clearer, faster, or safer.

Read my latest writing

How I Work

I've previously built hardware-in-the-loop test systems, field sensing devices, inspection software, and startup products. The common thread is evidence: capture the right signal, make it traceable, and turn it into a decision someone can trust.

Start with the signal. Build the smallest rig, workflow, or interface that makes the problem measurable. Then make the result useful enough that the next person can act on it.

I’ve lived and worked across Edmonton, Kelowna, Vancouver, Montreal, Taipei, Austin, and Tokyo. That mix taught me to pay attention to context: the operator, the customer, the lab bench, the deployment site, and the awkward handoff between them.

My Toolkit

The tools change by project. The pattern usually does not: measure the system, automate the repeatable parts, and keep the interface honest.

Instrument toolkit preview

Sensors, cameras, fixtures, and data capture for systems where the first problem is knowing what is actually happening.

CMOS sensingComputer visionDAQCalibration
Portfolio

Selected Projects

A mix of startup work, internal tools, sensing systems, and product experiments that show how I like to build.

Sojo

Sojo

Built a BI and operations platform for service businesses in Asia, turning bookings and customer activity into useful dashboards and follow-up workflows.

Next.js
Supabase
TypeScript
Tailwind
n8n
Noze Hardware Test Automation Platform

Noze Hardware Test Automation Platform

Designed a hardware-in-the-loop test platform for breath diagnostics, making sensor experiments repeatable, traceable, and cheaper to run.

Python
LabVIEW
Embedded C
MATLAB
Automation
Noze Vision-Language Mapping Tool

Noze Vision-Language Mapping Tool

Built an internal tool for exploring, labeling, and training on high-dimensional gas sensor data so teams could reason about chemical signals faster.

Python
VLM
OpenCV
Deep Learning
Vitalis Phyto2

Vitalis Phyto2

Built a portable field-test device that combined chromatography and computer vision to measure crop readiness outside the lab.

Embedded C
Computer Vision
Python
Edge ML
Optics

Work Experience

Aug 2025 - Feb 2026

Founded a company to enable intelligent inspection capabilities for physical infrastructure using visual and spatial intelligence tooling for construction, city infrastructure, and industrial teams.

Key Achievement

Drove development of an automated 3D inspection platform and established industry partnerships for pilot studies.

Business Development
Computer Vision
Spatial Intelligence
Systems Engineering
Metry AI

Founder & CEO

Metry AI
Jan 2025 - Present

Built a business intelligence and data gathering platform for service-based SMBs, enabling operational insight, customer understanding, and growth.

Key Achievement

Scaled to 2,000+ monthly active users, supporting 35 businesses across Taiwan, Japan, and South Korea.

Business Development
Company Building
AI Products
Backend Infrastructure
Noze

Technical Program Manager, Hardware & Systems

Noze
Jan 2023 - Nov 2024

Owned the hardware and systems test program, building custom automated hardware-in-the-loop test platforms supporting product development through EVT and DVT.

Key Achievement

Enabled 3x faster testing through automated platforms and reduced consumable wastage, saving approximately $400K.

Python
System Architecture & Design
Medical Device Regulatory Submissions
Test Infrastructure
Nov 2021 - Dec 2022

Developed and integrated sensing systems to optimize industrial extraction and processing workflows.

Key Achievement

Designed and productized a plant yield measurement tool, enabling farmers to assess crop readiness in-field at 95% lower cost than lab-based testing.

Firmware
IoT
Hardware Development
Computer Vision
Productization
Process Optimization
Jan 2019 - Nov 2021

Coordinated projects between industry partners and academic researchers to deliver novel technical solutions for industrial sensing problems.

Key Achievement

Developed sensing systems for chemical detection across sewer gas monitoring, natural gas, biomedical applications, and remote sensing.

Sensing Systems
Data Validation
Python
Applied Research