Kigali, Rwanda
African Leadership University
Where I learned how a record is actually kept: in memory, in structures, byte by byte.
- Block 1data + hash
- Block 2points to block 1
- Block 3points to block 2
01Context
My software engineering degree at ALU started at the bottom of the stack: memory, pointers, data structures, and how a program really stores what it knows.
I went on to focus on low-level programming, blockchain and system architecture, and wrote my capstone on AXK Network.
Alongside the degree I completed ALX Africa's Data Science Programme (2023–2024), which gave me a second lens: working analytically with structured data once it exists.
02What I initially thought
Like many people, I first understood blockchain as a currency technology: tokens, prices, speculation.
03What changed
Working at a low level changed that. Stripped down, a blockchain is a data structure: each block holds a hash of the one before it, so changing the past breaks every link that follows.
That reframed trust for me. It doesn't have to rest only on who you believe; some of it can be designed into how a record is stored and linked.
04What I built
My capstone, AXK Network: A Verification-and-Settlement Layer for Cross-Border Commodity Trade in East Africa (2026), is a 21-page study with a literature review, methodology, annotated bibliography and five system diagrams. It develops a trade-clearance interoperability model.
Engineering coursework in C, low-level systems, ledger design and system architecture, which became the technical base for AXK, Justly and Rovify.
05Evidence
- First Class
- Honours, B.S.E. Software Engineering
- 21 pages
- capstone study, five system diagrams
ALU Venture Lab, with Rovify (2026).
06What I learned
A record is only as trustworthy as the structure that holds it. Integrity can be a property of the data itself, not just of the people handling it.
It also showed me the limit: a perfectly linked chain still can't tell you whether the first entry was true. That gap between storage and reality is the question I kept meeting in the field.
07Back to the question
ALU gave me the technical side of the question: how a record can be made hard to alter. The work around it asked the harder part: how messy activity gets into the record in the first place.