Tejiri Jesse Systems architect

Between what happened and what can be proven.

The question I keep coming back to

How does messy, real-world activity become a record that others can trust and act on, and what gets lost when it does?

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Software engineering · 2023–2026

African Leadership University

Where I learned how a record is kept.

  1. 01 SawSoftware, from the bottom up. Memory. Pointers. How data actually sits inside a machine.
  2. 02 AssumedBlockchain was about money.
  3. 03 LearnedIt’s a data structure. Each block points to the one before. The past can’t be quietly rewritten.
  4. 04 NextTrust can be engineered into how a record is stored. My capstone took that idea into the field.

East Africa · 2022–present

AXK Network

I thought the problem was market access.

  1. 01 SawLagos. Handwritten receipts holding up every shipment. Produce changing hands again and again between farm and buyer.
  2. 02 AssumedSellers couldn’t find buyers. So AXK began as a marketplace.
  3. 03 LearnedBuyers and sellers could meet. No one could prove what happened next. Origin. Grade. Custody. Clearance. Payment.
  4. 04 NoticedThe evidence existed. Receipts, weights, stamps, messages. None of it was connected.
  5. 05 NextSo AXK became the record itself. One verified trail per transaction. 25,000 farmers are in it.

Malaysia · AXK pilot

Sabah

Same question. Different continent.

  1. 01 SawHill-paddy farmers trading rice across remote terrain, on basic phones.
  2. 02 AssumedThe AXK record would carry over.
  3. 03 LearnedThe fields did. The interface didn’t. Everything had to fit through a feature phone. Identity was the hardest part.
  4. 04 NextIdentity, USSD and escrow became the pilot. 1,000 farmers joined.

Nairobi · 2024–2025

AXI Mobility

Then the question appeared in machines.

  1. 01 SawElectric fleets in Nairobi, reporting on themselves. Constantly.
  2. 02 AssumedMachines don’t forget. The record would be easy.
  3. 03 LearnedTelemetry is noisy and partial. A battery reading means nothing without the trip, the driver, the history.
  4. 04 NextMachines don’t solve the representation problem. They move it.

Kigali · 2024–present

Justly

Then in institutions.

  1. 01 SawA legal matter lives in statutes, notes, messages and filings. Often in different hands.
  2. 02 AssumedThe gap was search.
  3. 03 LearnedSearch needs a structure to search into. And proof that nothing has changed.
  4. 04 Next112 statutes. Four languages. Every piece of evidence hashed and timestamped.

Lagos · Kigali · 2025–present

Rovify

Then in people.

  1. 01 SawYoung athletes move from school to club to academy to country.
  2. 02 AssumedScouts couldn’t see talent.
  3. 03 LearnedBeing seen isn’t enough. The record has to be trusted, and it has to move with them.
  4. 04 Next22,000 athletes now carry one. We tested it live at the RYA Launch Cup in Kigali.

Now

Research

The projects changed. The question stayed.

  1. 01 Looking backSoftware. Trade. Farming. Fleets. Law. Sport.
  2. 02 The patternReal activity. Partial evidence. Someone deciding what counts, and for whom.
  3. 03 Integrity ≠ truthA signed, timestamped record of GRADE = A proves who said it, and when. Not that it’s true.
  4. 04 Data ≠ observabilityA shipment can be fully visible to the warehouse holding it, and almost invisible to the lender asked to finance it.
  5. 05 NextI’ve written these ideas down as working papers. Now I want to test them properly.

The research question

How should real-world activity become structured, trustworthy data when the underlying information is incomplete, informal, or distributed across institutions?

Tejiri Jesse standing at the head of a boardroom table, presenting AXK Network to a room of partners.
Presenting AXK Network

Same question. More to understand.

I build systems to explore it.

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