Inhousing the most business critical interface.FlinkThe customer experience was fast. The systems behind it were complex. I worked on bringing a business-critical Hub interface in-house and making daily operations easier to understand and manage.Senior Product Design Engineer
Designer/Builder
I turn complexity and AI Output into clear, state-of-the-art software. For founders and product teams that need senior product judgment, interaction design. I deliver testable pilots or functional product. I work in strategic setups or fully operational. 10+ years experience.
My Approach
I help companies reduce the noise and increase the signal.
I create value through intelligence, creativity, aesthetics and flipping the switch from zero to one.
I have worked in different setups, in different roles. I challenge, I collaborate, ask questions and get things done.
A selected list of clients over the years.
From ambiguous idea to working product.
A selection of
Works
Framing the problem is crucial decision making. Evidencing gives us a credible thesis. Always looking for the shortest path from zero to one.
0 → 1 Product. Native Apps in Swift and Kotlin.Social WorkoutsStarted as a simple way to coordinate workouts. I turned the idea into a focused product for crews and athletes — from positioning and product loops to a fully native iOS experience.
AI product exploration, 0 → 1 fully working MVP.FAAASTExploring how AI can support serious training without taking control away from the athlete. I use rapid prototyping, real usage and small experiments to turn an ambiguous idea into a working product and some small number of paying customers.
Branding and Interface Design for a B2B E-Commerce platform.ChefsListChefsList needed to feel as simple as consumer commerce while supporting the complexity of professional kitchens. I helped shape the brand and interface into one coherent B2B experience.- Inhousing the most business critical interface.FlinkThe customer experience was fast. The systems behind it were complex. I worked on bringing a business-critical Hub interface in-house and making daily operations easier to understand and manage.
AI enabled product loop.
Synthetic methods accelerate exploration and implementation. Real behavior determines what deserves to stay.
What is the least amount of work, to build.
DesignBuildLearn
Faster Cycles
Reality Check
What is the least amount of work, to learn.
AI makes it easy to build more. The harder question is what deserves to be built. I look for the smallest intervention that lets us test an assumption, learn from real behavior and decide what happens next.
Strategic UX digs deeper into the problem.
The UX Strategy is about, going back to the drawing board and looking at the messy overall picture. A lot of the time clients wanted solutions to flawed problems.
That’s where we interview the problem, until we have clarity.
Framing the problem.
State the hypothesis.
Are we all seeing the same thing.
Do we have empathy for our customers?
Who is the real customer?
What Job to be Dones do they have?
Reframing the problem,
with stakeholders and customers.
Are we all seeing the same thing.
Do we have empathy for our customers?
Who is the real customer?
What Job to be Dones do they have?
Inform Developers.
Roadmap.
Are we all seeing the same thing.
Do we have empathy for our customers?
Who is the real customer?
What Job to be Dones do they have?
50%
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The Impact
Successfully leading the most business critical inhousing project, while managing stakeholders and interviews across departments.
Built the foundation for the most central dashboard in the corporation.
Team
Head of Products
Mitch Seguin
Sahil Gulhane
Product Management
Somto Zikora
Open Source
Agentic work, is the new normal. Cutting down on the agentic slack too. Too much signal is still noise.
Open Source
@hamedb89I have been building my own tools. AI is only as intelligent as the pipeline. Product outcomes are not guaranteed, when an agent doesn't know what to do, where to look or what the right context is for the task.
I built my own package to code faster, save on tokens and keep most of the workflow deterministic instead of letting the agents handle the fuzzy work.
It doesn't matter where and how the LLM is hosted. The tools stay the same.