Machine Learning
Core workflows for preparing data, training models, and evaluating predictions.
MACHINE LEARNING · GENERATIVE AI
Building practical AI that solves real problems.
I'm Inioluwa Olufemi, a Computer Science student focused on machine learning, NLP, retrieval-augmented generation, and LLM-powered applications.
IO
Add your portrait
Save your photo as
assets/profile.jpg
Inioluwa OlufemiML · NLP · Generative AI
Retrieval-Augmented Generation
Turning data into useful systems
✳
+
SCROLL TO EXPLORE
Curiosity → experiments → useful AI
01 / ABOUT
Curious about the why, not just the model.
I build practical AI systems using NLP, RAG, LLMs, and machine learning.
My focus is on turning information into useful experiences: retrieving relevant context, structuring data, designing prompts, and building applications that help people work with information more effectively.
I'm continuing to develop my foundations in machine learning and Generative AI, with an emphasis on understanding the problem, evaluating outputs, and explaining the decisions behind a system—not just making a demo work.
01Problem firstStart with the user need and evidence.
02Evaluate honestlyCheck limitations, quality, and failure cases.
03Build for useMake prototypes clear and practical.
02 / SKILLS
Tools I use to build and learn.
My current areas of focus. This list describes my working toolkit, not a ranking of proficiency.
Generative AI & NLP
Applications that work with language, retrieve context, and generate useful responses.
Search & Retrieval
Organising information so relevant passages can be found and supplied as context.
Application Development
Connecting AI pipelines to usable interfaces and lightweight services.
03 / SELECTED PROJECTS
Learning by building.
A selection of AI projects exploring retrieval, document understanding, and text classification.
AI / FINANCE01
₦
Research · Retrieve · Respond
DOCUMENT AI02
PDFSUMMARY
✳
Long documents, clearer takeaways
SUPPORT AUTOMATION03
My network keeps dropping…
✳ Let's check a few possible causes.
What should I try?
Support knowledge, easier to access
TEXT CLASSIFICATION04
TEXT ANALYSIS
MODEL OUTPUTClass predictionValidate with labelled data
Signals in text, examined with ML
Portfolio note: Demo links are provided where known. The GitHub links currently point to your profile; replace each with the exact repository URL when you have it ready.
04 / EXPERIENCE & LEARNING
Building my foundation.
My current path is focused on strengthening fundamentals through study, training, and practical projects.
Machine Learning Studies
Cephas ICT Hub
Developing machine learning knowledge and applying concepts through hands-on practice.
3MTT GenAI Training
Training in Generative AI concepts and application development.
Computer Science Student
Building a foundation in computing while developing practical AI projects alongside my studies.
05 / CONTACT
Have a problem worth solving?
I'm open to connecting with AI builders, teams, and people working on useful machine learning and Generative AI applications.
Email me