i did go back to the technation guide i think i mistook the recommendation letters as part of mandatory criteria. so i went back and did a bit of restructuring. and heres what i have
heres how I’ve structured my evidence into sets to find out which one is the strongest for the application:
Set 1:
Mandatory Criteria (MC) - Leadership and Significant Contributions:
- Project: Platform A (Company X)
- Role: Backend Lead
- Documents: Project documentation, technical specifications, API documentation, and database management.
- Why i feel It Fits: Demonstrates leadership in the development of a key product, highlighting significant contributions to backend architecture and technical aspects
.
Optional Criteria 1 (OC1) - Innovation: - Project: AI-Based Object Detection (Research Institution)
- Role: Lead Researcher
- Documents: Published paper, project summaries, and technical contributions. Include peer-reviewed recognition and impact data. i have two other international published papers making a total of 3 in peer reviewed journals with about 13 citations. and on Researchgate i have over 14k reads (i know it doesnt count technically)
- Why i feel It Fits: Demonstrates significant innovation in AI, supported by international recognition via peer-reviewed publication.
Optional Criteria 2 (OC2) - Technical Contributions:
- Project: Platform B (Company X)
- Role: Backend Developer
- Documents: Technical documentation, API references, architecture diagrams, and system details.
- Why i feel It Fits: Highlights your contributions to the technical development of a significant educational platform.
Set 2:
Mandatory Criteria (MC) - Leadership and Significant Contributions:
- Project: Platform C (Company Y)
- Role: Lead Developer
- Documents: Project summary, technical documents, architecture details.
- Why i feel It Fits: Demonstrates leadership in a large-scale, real-world project for a high-profile client.
Optional Criteria 1 (OC1) - Innovation:
- Project: Cloud Certification (AWS CCP)
- Role: Advisory Board Member and Certified Cloud Practicioner/Developer
- Documents: Certification, project work on cloud technologies, advisory board documentation.
- Why i feel It Fits: Shows innovative contributions in cloud technology, backed by certification and an advisory role.
Optional Criteria 2 (OC2) - Technical Contributions:
- Project: Mentorship and Assessor Role (Educational Platforms)
- Role: Mentor and Assessor
- Documents: Certifications, feedback from students, reviews, and technical assessments.
- Why i feel It Fits: Demonstrates contributions as a mentor and assessor, showing influence in developing future talent in the tech industry.
Set 3:
Mandatory Criteria (MC) - Leadership and Significant Contributions:
- Project: Research Platform (Research Lab at Institution)
- Role: Lead Lab Developer
- Documents: Project documentation, technical architecture diagrams, and collaboration letters from the institution.
- Why i feel It Fits: Demonstrates leadership in an academic research environment, leading a team to develop a key research platform.
Optional Criteria 1 (OC1) - Innovation:
- Project: AI-Based Object Detection (Research Institution)
- Documents: Additional details on the published paper, focusing on the innovation in AI.
- Why i feel It Fits: Strengthens your innovation case by adding further insights and impact metrics from your AI project.
Optional Criteria 2 (OC2) - Technical Contributions:
- Project: Platform B (Company X)
- Documents: Further technical contributions, including architectural diagrams and backend documentation.
- Why i feel It Fits: Provides more technical depth to your contributions to a key educational platform.
Set 4:
Mandatory Criteria (MC) - Leadership and Significant Contributions:
- Job at Organization B
- Role: Software Engineer, UK
- Documents: Employment contract, contributions, recommendation letters from our product manager (not my direct supervisor).
- Why i feel It Fits: Demonstrates leadership or significant contributions in your role as a software engineer, potentially highlighting projects or innovations led.
Optional Criteria 1 (OC1) - Innovation:
- Peer-Reviewed Publications
- Documents: All three peer-reviewed papers you’ve published, focusing on innovation and impact.
- Why It Fits: Demonstrates innovation through academic research, supported by the newly published AI-based paper.
Optional Criteria 2 (OC2) - Technical Contributions:
- Project: Digital Journal Platform, i built for a body where they publish their journals and publications in Nigeria.
- Documents: Project summary, technical documentation, architecture diagrams.
- Why It Fits: Highlights your technical contributions to a digital platform for academic journals, including innovations such as embedded document readers and indexing.
Set 5 (Backup):
Mandatory Criteria (MC) - Leadership and Significant Contributions:
- Mentorship Role (Educational Platform)
- Documents: Certification, feedback from students, reviews.
Optional Criteria 1 (OC1) - Innovation:
- AI-Based Object Detection
- Documents: A third iteration of your AI project, focusing on impact metrics (citations, reads, recognition).
Optional Criteria 2 (OC2) - Technical Contributions:
- Additional Contributions to Research Platform
- Documents: Technical contributions to the research platform.
i am aware that some documents appear in different sets but like i said i want to know which set is the strongest and if you can suggest a better arrangement