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Happy New Year 2026 — wishing you good health and a positive year ahead. — Dr. Kusse Sukuta Bersha (PhD)

About

I work on software systems that are meant to last — systems that are understandable, dependable, and kind to the people who have to live with them after the first release.

When I start a project, I usually begin by asking a simple question: what is this system actually supposed to do, and under what constraints? From there, I try to make sure the team is looking at the same problem before we write code. That often means talking through assumptions, sketching interactions, and thinking about where things are likely to break. It’s slower at the beginning, but it saves a lot of time later.

I aim for solutions that are easy to read, easy to debug, and honest about their trade-offs. In practice, that usually means keeping the surface area small, resisting unnecessary complexity, and making the important invariants explicit so the next person can understand what’s going on without guesswork.

Constraints First

I frame problems through constraints to find the simplest mechanism that satisfies them reliably.

Explicit Invariants

Correctness comes from clear intent, observable behavior, and failure modes mapped early.

Production Reality

Design accounts for maintenance, release safety, and debugging under pressure—not just the happy path.

How I work

  • I care about clarity — not as an abstract value, but as something that shows up in code, tests, and system behavior.
  • I let constraints guide decisions. If something is truly important, I want to be able to explain why, not just feel that it is.
  • I design with production in mind: observability, rollback paths, and the reality that someone else may be debugging this at a bad hour.

Background

My academic training taught me to question assumptions and explain ideas in a way others can follow and reproduce. Engineering work grounded that rigor in real environments — deadlines, evolving requirements, and systems that need to keep running even when things go wrong.

Those two perspectives shape how I work today: careful without being precious, pragmatic without being careless. I don’t believe in perfect systems, but I do believe in building ones that fail in understandable ways.

A personal note

Outside of work, I care about family, learning, and building things with intention rather than noise. I’m not interested in chasing trends for their own sake. I prefer steady progress, clear thinking, and work that earns trust over time.

The work that matters most to me is the kind you can rely on day after day — quiet, predictable, and doing what it was designed to do.