Skills

Grouped by area, each with its evidence. Skills a project uses link to it, and use in a live production system is marked. Certified means structured learning with a certificate, not project work.

Core web engineering

NestJS
In productionStackplyPostSem
Drizzle ORM
In productionStackplyPostSem

Also REST APIs

Certificates Meta Generalist Software Engineer Certificate

Mobile

React Native
1 projectKeepdars
Expo
1 projectKeepdars
Kotlin
Certified
Android development
Certified

Backend and Python

FastAPI
1 projectNews Article Summarizer
Express.js
1 projectEvenital
Django
Certified

Databases

PostgreSQL
In productionStackplyPostSem
MongoDB
1 projectEvenital

Development and deployment

Cloudflare
1 projectKeepdars

Also Git, GitHub, Docker, Render, Postman

Product design

Also Figma, UX/UI design, Prototyping, Adobe Illustrator, Adobe Photoshop, Graphic design, Brand design, Print design

Certificates Google UX Design Professional Certificate; Adobe Graphic Designer Specialization

AI and machine learning

Also Supervised machine learning, AI-assisted software development

Certificates Supervised Machine Learning: Regression & Classification; 3MTT Nigeria — AI/ML Track, Cohort 2; ALX AI Career Essentials

AI in my workflow

I use Claude as part of how I engineer software. It speeds the work up; the decisions and the delivery stay with me.

Used for
Implementation, Debugging, Refactoring, Architecture exploration, Technical research, Feature development, Rapid iteration
Stays with me
Product requirements, Architecture, Technical decisions, Integration, Validation, Testing, Deployment, Client delivery

Materials and laboratory

Metallographic sample preparation
ThesisGrinding, polishing and etching
Optical microscopy
ThesisHAZ grain structure
Leeb hardness testing
ThesisHAZ hardness
Shielded metal arc welding
ThesisSingle-run and double-run weldments
Welding and metal fabrication
Industrial training, 2021Engineering workshop processes

Certificates Materials Data Sciences and Informatics; AI Materials

Now studying

Artificial Intelligence & Machine Learning (Advanced), through a Coursera scholarship supported by the Federal Ministry of Education, Nigeria. Currently enrolled in 2026, about 12 weeks long. It's in progress, so nothing from it is counted above.

The curriculum, 18 courses
  1. Introduction to Computer Vision and Image Processing
  2. Scalable Machine Learning on Big Data using Apache Spark
  3. Deep Learning with Keras and TensorFlow
  4. AI Capstone Project with Deep Learning
  5. Introduction to Neural Networks and PyTorch
  6. Introduction to Deep Learning & Neural Networks with Keras
  7. Machine Learning with Python
  8. Introduction to Artificial Intelligence (AI)
  9. Launching into Machine Learning
  10. Python for Data Science, AI & Development
  11. Foundations of AI and Machine Learning
  12. Microsoft Azure for AI and Machine Learning
  13. Advanced AI and Machine Learning Techniques and Capstone
  14. AI and Machine Learning Algorithms and Techniques
  15. Model Serving Systems: Containers, APIs & Scalability
  16. Cloud Platforms for ML: AWS, Azure & GCP Deployment
  17. DevOps for Machine Learning: CI/CD, APIs & Deployment
  18. MLOps and Responsible AI Practices

Certificates

Meta / Coursera
Meta Generalist Software Engineer Certificate2023
Georgia Institute of Technology
Materials Data Sciences and Informatics
KAIST
AI Materials
DeepLearning.AI / Stanford
Supervised Machine Learning: Regression & Classification
Google / Coursera
Google UX Design Professional Certificate
Adobe / Coursera
Adobe Graphic Designer Specialization
NITDA
3MTT Nigeria — AI/ML Track, Cohort 22024
ALX Africa
ALX AI Career Essentials2024

Also certified inPython, Django, Kotlin and Android development

Languages spoken

Nupe
Native
English
Professional
Hausa
Basic
Arabic
Basic, reading and writing