@Oluwatobi_Oyewole Trust you are good.
For Mandatory Criteria (MC), Tech Nation typically expects a publication centered on your specific work that has advanced the sector, or independent media coverage that directly validates your expertise. Looking at your career feature covering your 6+ year engineering journey, AI or open-source contributions, and community impact, it feels more like an article sharing your story rather than third party media independently validating your work. Why was the article written? Was it because the media was celebrating top achievers and invited you as a major tech contributor over the last 6 years, or did you reach out to share your story? Articles like this are often viewed as advertorials by assessors.
Similarly, the article in the African technology publication focuses on your transition from oil and gas to tech, which highlights your personal journey rather than sector wide impact. Since both articles are similar, you should group them together under MC 1 Evidence (Media publication). However, keep in mind that these currently are weak MC evidence.
Regarding your technical speaking engagement, speaking recognition can be helpful, but a university talk generally does not qualify as a top tier or high profile digital tech sector event unless it was organised or backed by tech giants (for example, a Google University Conference) where the host/partner brand elevates its status. While the evidence you listed is useful, you need to clearly show the recognition element. An official invitation letter, email, or a reference letter from the organisers would help validate your recognition and contributions.
On OC2, when you mention Organisation A, was this work done for a company, and was it paid work? If it was unpaid, you need to state that explicitly. Once OC2 evidence is linked to a commercial entity, assessors might assume it was part of your paid job unless clearly stated otherwise Your open source contributions with maintainer code reviews look promising, but make sure to show your direct contribution clearly, including code commits with your name visible as the author. High project metrics like 190k stars are good background context for adoption, but your main focus should be on your specific code contributions and the direct recognition or acknowledgement you received from the maintainers. For Organisation B, are these public open source ecosystems? OC2 works best when the activity is completely outside a paid employment setup. Showing ongoing contributions helps demonstrate continuous impact, but you must highlight your individual impact beyond general repository metrics.
You might also find my article on OC2 on how to clearly show recognition and impact helpful
On your international engineering research publication, this would be much stronger under OC4. Under OC2, Tech Nation checks for both recognition and broad sector impact, whereas OC4 focuses specifically on demonstrating exceptional ability through academic or research contributions. In OC4, the chance of acceptance for research papers is significantly higher because recognition is not a primary requirement there. Don’t take my word for it. Here is a recent feedback
If that applicant had used their research under OC4 instead, the issue regarding recognition likely would not have been raised. I suggest moving this paper to OC4 if you can, keeping in mind that you need just two OCs overall.
For OC3, focus heavily on your direct technical contributions rather than the company profile. First, ensure the companies are product led digital technology company. The evidence you listed, such as market footprint, platform architecture, traffic, and SEO impact, are useful supporting details, but they are not your primary artefacts as a software engineer and do not directly prove significant technical contribution on their own. Start with your core engineering work (such as code, technical architecture with your name, or complex systems built, correspondence with technical partners), and then validate it using reference letters, awards, performance benchmarks, and experimentation results.
On your question about whether this evidence mix is sufficiently strong and coherent for MC + OC2 + OC3
As it stands, MC looks a bit weak, OC2 has potential if presented strategically, and the research paper fits better under OC4. For OC3, ensure the companies are product led and shift the focus to your technical execution rather than general business metrics. Overall, you have some good evidence, but I suggest doing an alignment check, then get at least one strong evidence and rightly aligned evidence for each criterion to increase your chances.
All the best.