Hi, I’m Joseph —

an engineer
a researcher.
a founder.

I specialize in optimizing complex systems across various fields including healthtech, education, and sustainability. Whether it’s reducing costs, maximizing profit, or building AI that runs on edge devices, I turn ambitious ideas into lean, scalable solutions through intelligent design and precise execution.

About

I’m a multidisciplinary engineer driven by one goal: using technology to solve real-world problems that improve lives.

With a background in mechanical engineering and years of hands-on experience across AI, healthtech, education, and agriculture, I specialize in optimizing solutions where resources are limited but the needs are urgent. From building a basic solar car during as an undergrad with my team to developing AI tools that monitor senior health as a founder, I’ve consistently turned ideas into working systems — not in labs, but on the field. Whether it’s reducing prototyping costs, building low-power hardware, or mentoring entrepreneurs across continents, my work is rooted in execution, impact, and making technology truly serve people.

Professional Experience

Part-time leadership role. Designed ML models that improved supply chain accuracy (ROC >93%) and reduced revenue forecasting error (MAPE <3%). Developed carbon footprint assessment tools aligned with EU CBAM regulations.

Built AI-powered content curation for K-12 education using video scraping, NLP, and Elasticsearch. Launched a live MVP platform (app.edcompass.io). Led development of search engines, databases, and ML pipelines.

Created a sound-based AI platform for senior care and emergency detection. Integrated wearables and smartwatches with edge AI systems. Reached 93.7% classification accuracy, secured EXIST grant, filed patent, and joined 2 accelerators.

Proposed a tidal energy integration strategy for Taipei. Supervised MSc students and conducted Life Cycle Assessments. Focused on renewable energy modeling and ML optimization.

Held several international roles across the US, Taiwan, Germany, and China. Created scalable coding curricula for students (Blockly, Python) Expanded student base from 80 to 5,000 across 7 countries. Led AI education programs and collaborated with Cornell on robotic projects. Built affordable teaching robots and taught university-level Python.

Built NLP pipelines for real-time social media sentiment analysis (accuracy >85%). Integrated real-time Twitter data into predictive modeling workflows.

Performed ECU failure analysis and vibration simulations for automotive systems (LUXGEN vehicles).

Education

Postdoctoral – System Optimization Lab, NTU

PhD in Mechanical Engineering — National Taiwan University, Taiwan

Dissertation on reducing uncertainty in environmental impact assessment using data whitening.

MSc in Mechanical Engineering — Kun Shan University, Taiwan

Developed rapid prototyping method for wax mold casting. Graduated with distinction.

BSc in Mechanical Engineering — Eastern Mediterranean University, TRNC

Thesis: Built and completed the university’s first solar car. Graduated with distinction.

Entrepreneurial Career 

My entrepreneurial journey began at age 22 when I launched a pharmacy that became profitable within four months. That experience taught me how to build lean, self-sustaining operations — a lesson I’ve carried into every venture since. Over the years, I’ve founded and led initiatives across sectors and continents. Here are just a few:

A solar-powered hydrogen cooking system that provides clean, safe energy for families in Burkina Faso — reducing deforestation and indoor pollution

An AI-powered health monitoring platform that tracks senior breathing and activity, now in pilot trials in Germany

A smart irrigation system using drones, Raspberry Pi, and sensors to cut water usage by 96%, tested in Nigeria

A video intelligence platform that helps teachers vet educational content in under a minute, used in classrooms in West Africa

A wearable alert system that recognizes environmental sounds for the deaf

A lighting system (ecoLED) that extends a single LED’s energy across multiple homes for underserved communities.

A drone-based irrigation controller and optimization framework tested in lab settings.

Let’s connect

and explore how we can build useful, intelligent solutions together.