
Bring the Problem.
Product BuilderMG II
Trained in Economics. Built for Execution.
- B.Sc Economics
- 5 AWS certifications
- 12 working domains
I hold a B.Sc in Economics, which trained me to see systems, incentives, and trade-offs clearly. This way of thinking influences every product I work on, not just financial ones.
Daily, I move between product design and deep technical execution: creating interfaces people trust, apps that feel native, and platforms that perform reliably in production.
When projects involve FinTech or quantitative systems, my economics background gives me an extra edge — including a trading system I run with strict human oversight — algo plus discipline, not a set-and-forget bot. Even when the work isn't financial, I apply the same habit: clarity first, then a complete build.
Whether it's mobile, web, data, infrastructure, or a venture still finding its shape, I show up ready to think clearly and solve completely.
How I operate
Incentives first. Then the interface.
Systems → Moves → Stack
- 01
Incentives
Systems before screens
I map incentives, constraints, users, and edge cases before I open Figma or the repo — the same lens my economics training drilled in.
- 02
Decisions
Ambiguity into moves
Messy briefs are normal. I cut them into clear decisions, sequence the work, and keep shipping until the shape holds.
- 03
Command
Depth across the stack
Design, engineering, data, and product — not skimmed tags. Real fluency, and the judgment to go deeper when the build needs it.
Breadth & proficiency
Three clusters. Twelve working domains.
Grouped the way products actually get built — not a flat resume grid.
01
Product surfaces
What people touch
UI/UX & Product Design
Figma · Mobbin · Design Systems · Prototyping
Mobile App Development
Flutter · Dart · Native Cross-Platform
Progressive Web Apps
React · Web Manifests · Service Workers
SEO & Performance
Technical SEO · SSR/SSG · Schema Markup · Core Web Vitals
02
Engineering
What carries load
Full-Stack Web
Next.js · React · Node · Express · PHP · TypeScript · Secure Coding · Auth & Access
Databases & Administration
PostgreSQL · MongoDB · Supabase · Firebase · Schema Design
DevOps & Infrastructure
Vercel · Docker · Git · REST · Webhooks · WebSockets · Threat Awareness · Hardening
AWS Cloud
Solutions Architecture · ML Engineering · DevOps · Generative AI · Cloud Infrastructure
Web3 & Blockchain
Smart Contracts · dApps · Ethers.js · Web3.js
03
Markets & signal
What the numbers say
FinTech & Quantitative Finance
Trading bots · Supervised live algo · Market data APIs · TA-Lib · Financial modeling
Data Analysis & Engineering
Python · Pandas · NumPy · SQL · Quantitative Modeling
Automation Engineering
Algorithmic Automation · Pipeline & Cloud Automation · Scripting & Process Automation
Live proof
Følg meg — supervised live trading
Follow me — systematic algo plus strict human oversight; Myfxbook holds the book.
Credentials
AWS-certified across architecture, ML, DevOps, and GenAI.
Five active certifications — associate through professional — that back the cloud and infrastructure work.

5
AWS certifications
2 Associate · 3 Professional
Associate
- AWS Certified Solutions Architect – Associate
- AWS Certified Machine Learning Engineer – Associate
Professional
- AWS Certified Solutions Architect – Professional
- AWS Certified DevOps Engineer – Professional
- AWS Certified Generative AI Developer – Professional
Have a build in mind?
Tell me the problem. I'll help shape the product and the path to ship.