Benedict01 / Experimental systems
Naught Labs
I’m investigating whether existing applications can use compute beyond their own machine—and when doing so is actually worth it.
Read the case study001 / BENEDICT · GHANA
If you’re building a normal app, I’m probably not for you.
I’m Benedict Blessing Gbogr, a founder, systems engineer and independent researcher in Ghana. I want everyday devices to handle work that currently demands more powerful machines—without giving up control over how that work runs.
My research asks when we can make better use of the compute we already have, when it helps to share the work, and how to check the result without blindly trusting another machine.
A PERSONAL NOTE
- Restless
- Curious
- Ambitious
- Obsessive
I have never been very good at leaving impossible things alone.
CURRENT FOCUS / NAUGHT LABS
Compute beyond the box.
What if compute behaved more like connectivity—something a device could access, rather than something fixed at purchase?
Naught investigates external computation for existing applications. Compute, privacy and accessibility are long-term objectives; transparent support for arbitrary software is not a demonstrated capability.
Explore Naught LabsSELECTED ENGINEERING
Questions made tangible.
02 / Historical engineering work
Jungle Grid
An execution layer routing AI workloads across heterogeneous compute infrastructure—and an important predecessor to Naught Labs.
Read the case study03 / Historical engineering work
ZeroSight Protocol
Cryptographic backend engineering around PIN-based AES encryption, unique salts, no stored plaintext PIN and recovery mechanisms.
Read the case study04 / Historical engineering work
MarcediVault
Backend contribution to custodial wallet infrastructure under Xentrius Ltd, including embedded accounts and transaction workflows.
Read the case studyRESEARCH / WORKING BRIEFS
Below the application boundary.
01 / Local CPU experiments
OBP v2 — Compute only what matters
Does every calculation need to happen? My biggest local gains came from removing work—but an optimized library already matched one of them.
Read the brief02 / Prediction experiments and simulations
ASPR — Getting data ready before it is needed
Can I anticipate an application’s next inputs? Individual predictions looked useful; identifying the complete required set was much harder.
Read the brief03 / Lossless encoding experiments
ReSynth — When fewer bytes are worth the work
Does a smaller message mean a faster operation? Structured data compressed well, but encoding and reconstruction could erase the saving.
Read the brief04 / Native-call interception experiments
Splice — Moving a calculation without rewriting the application
Can an existing program keep making the same numerical calls while I change how they execute? The call’s full behaviour matters more than the hook.
Read the briefJOURNEY / ENGINEER · RESEARCHER · FOUNDER
From applications to execution.
Backend systems → cryptographic infrastructure → AI workload orchestration → native execution and compute placement. Each step exposed a different boundary worth questioning.
Follow the engineering journeyLEARNING / CREDENTIALS
Keep building. Keep learning.
CertificationAWS Certified Cloud Practitioner
Amazon Web Services Training and Certification /
Foundational certification covering AWS cloud services and cloud fluency. Issued 7 October 2026 and shown as valid until 7 October 2029 on the Credly profile.
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Training completionAWS re/Start Graduate
Amazon Web Services Training and Certification /
Completion of the AWS re/Start skills development programme: scenario-based training, hands-on labs and coursework with professional mentors. Issued 26 October 2026.
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Training badgeAWS Educate Introduction to Cloud 101 - Training Badge
Amazon Web Services Training and Certification /
Training badge for the AWS Educate Introduction to Cloud 101 course: cloud core services, virtual lab work and a post-course assessment. Issued 24 July 2026.
Verify on Credly02 / ABOUT
FOCUS / CURRENT QUESTIONS
What I work on
“I only work on visionary projects: new systems, infrastructure, and hardware that challenge how computing works.”
I’m Benedict Blessing Gbogr, a builder, researcher, and lifelong learner from Ghana. Jaguar Builds is my personal website and working notebook.
At Naught Labs, I’m investigating whether existing applications can use compute beyond their own machine. Jungle Grid, my earlier work on routing AI workloads across heterogeneous infrastructure, helped turn that question into a lower-level systems research direction.
Alongside this, I make time for independent research and questions that take longer to answer.
I care about careful thinking and useful work. I keep returning to difficult questions, testing assumptions, and learning from what I build.
BENEDICT.
BUILDING FROM GHANA.
03 / NOTES
Notes / Writing / Now
04 / CONTACT
Working on
something unusual?
I welcome research collaborators, infrastructure partnerships, and conversations about ambitious technical work. If you’re working on a visionary systems or hardware project, tell me the question you’re trying to answer.
Start a conversation