About

Who?

I primarily define myself as a product engineer. Today’s world is full of opportunities… and problems to solve!

• Graduated: Mechatronics Engineer MSc major
• Worked for several companies before starting an IT career…
  • Designed machines for food factories
  • Was an intern at ABB USA, simulating electrical transmission networks
  • Worked at a wind turbine startup, designing control systems & simulations
  • Founded a board game company, helped 3 Kickstarter projects get funded
• Started working as a software engineer a few years ago
  • Labcup, a lab management startup
  • Full-stack engineer at Logmein
  • Senior engineer, then squad lead at Process Street

Hobbies: martial arts, uni-, bi- and motorcycling, scouting.

Why?

I found my passion as a software engineer. It’s not entirely new for me – part of me has always wanted to be a programmer. I always loved learning new ways of solving problems.

Whatever the problem or product vision is, I analyze the situation, compare solutions and outcomes, develop a roadmap to the end goal and coordinate my own and/or my team’s efforts.

My clients enjoy my ability to ask the right questions at the right time, my attention for details and the constant focus on delivering tangible solutions.

I am continuously striving to be more collaborative, inspiring, and proactive. I personally dislike wasted or unfruitful work and believe in the power of leading through example.

Programming stuff

Github, Stackoverflow

Coursera courses

Programming Languages, University of Washington

• Part A – Functional programming, Standard ML
• Part B – Functional & macro programming, writing a simple interpreter in Racket
• Part C – OOP in Ruby, FP vs OOP comparison

Algorithms & Data structures specialization, University of California San Diego & National Research University Higher School of Economics

• Algorithmic Toolbox – big O notation, stress testing, greedy, divide & conquer algorithms, dynamic programming
• Data Structures – lists, amortized analysis, priority queues, disjoint sets, hash tables, binary search trees, splay trees, AVL trees
• Algorithms on Graphs – depth-first search, breadth-first search, topological sorting, Dijkstra algorithm, A*, contraction hierarchies
• Algorithms on Strings – Burrows-Wheeler transform, suffix trees, suffix arrays, Knuth–Morris–Pratt algorithm
• Advanced Algorithms & Complexity – network flows, P&NP problems, SAT solvers, linear programming, streaming algorithms
• Genome Assembly Programming Challenge – creating a genome assembler: assembling a bacteriophage DNA genome from error-prone reads using overlap graphs and De Bruijn graphs (ugh…)