7 years of shipping products across e-learning, POS, AI, and government—bridging business strategy with user-centric research to drive impactful solutions.
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I’m a designer who’s genuinely fascinated by human psychology and the puzzle of building complex systems. I’m not one to just 'move pixels'—I’d much rather dig into the research to make sure we’re tackling the right problems from the start. Whether I’m untangling a complex legacy workflow or architecting something brand new in the AI space, I love teaming up with engineers and PMs to turn a messy shared vision into a polished, user-tested reality that actually works for people.
For 7 years, I have developed a diverse portfolio of digital products, from E-learning, point of sale solutions to specialized projects in land acquisition, AI, and government services.
View RésuméChange the interface, keep the empathy. Tech shifts but values stay.
I’ve always been fascinated by how the 'small things' in daily usage define a product’s success—from the
tactile feel of an iPod 20 years ago to the intuitive interface of a modern car. From sending messages
to
aliens 👽 in the 70s to training modern Large Language Models (LLMs) today, everything is the result of
deeply considered design. I started tinkering with tech in school, voiding Nokia 📱 warranties before I
even had a driver's license. I was obsessed with overhaulng Symbian UIs just to make them look cool.
That
eventually spiraled into a full-blown obsession with the Nexus 7, where I spent way too many nights
flashing CyanogenMod over KitKat 🍫 and praying I didn't end up with a very expensive paperweight. I
chose
design because I wanted to understand how user experience shapes and
improves a product over time. My journey began with an obsession with Material Design, which taught me
that great design isn't just about color; it’s about research-backed systems that scale. I thrive on
understanding user perspectives, validating flows, and iterating based on feedback to bring creative
clarity to complex systems.
Beyond systems, I am deeply driven by the psychology 🧠 of interaction. I am fascinated by frameworks
and
systems of Socionics and MBTI to better understand the vast spectrum of human personalities—specifically
how common sense varies and why some users think in 'fact-based' logic while others rely on 'intuitive'
patterns. I thrive on translating these diverse user perspectives into validated flows, using feedback
to
bring creative clarity to complex systems.
Working with different teams has taught me that every company has a unique culture, workflow, and set of priorities. I’ve learned how to quickly map out new processes and integrate them into efficient flows. Most importantly, I’ve realized that being a great teammate means being reliable and accountable. I prioritize moving fast with quick validations and constant feedback loops. I’ve also learned never to compromise on communication; I make it a point to seek out and accept feedback early and often to ensure I’m collaborating effectively across different departments.
I believe every company or client has a different way of working. I like to move quickly by first understanding the project goals, performing a quick competitive audit, and analyzing any available data or requirements. Once I have the flows built, I get them in front of users and the team as fast as possible. For me, asking questions and taking feedback early and often is the only way to move from just a ‘beautiful interface’ to a validated, scalable system that actually solves the human problem.
The rapid evolution of AI tools in 2025, from Figma’s automation features to Cursor, has fundamentally
changed our workflow by acting as a powerful accelerator for building design systems and rapid
prototyping. I believe AI is excellent at handling the 'heavy lifting' of UI components and helping us
validate ideas quickly; however, it still hits a wall when it comes to truly complex user flows and
unique
business logic. In my experience, the most critical design data often exists offline—in the physical way
a
user interacts with their environment or in specialized workflows that haven't been documented on the
internet. Ultimately, while AI can assist in the process and help us visualize solutions, it cannot
replace the deep, human-centric research and empathy required to solve original, high-stakes problems
that
require a real understanding of a user's unique context.
Ultimately, it comes down to taking ownership and being responsible for every design decision—something
a
tool can't do (as of now 🤐).