adejare adelugba
Portrait of Adejare Adelugba
// the authorabuja, 2026
[ WHO I AM ]

I build models that survive real data.

I’m an AI/ML Engineer at Integrity Organization Ltd and a Computer Science graduate of Landmark University. I work across the whole cycle: getting data out of PDFs, websites and spreadsheets, cleaning it, training and evaluating models, deploying them with FastAPI and Docker, and writing documentation that non-technical teams can use.

My work so far covers medical-image classification, retrieval-augmented generation (RAG), workflow automation and web scraping. Each flagship project has its own page with the decisions I made and what went wrong along the way.

Role
AI/ML Engineer, Integrity Organization Ltd
Location
Abuja, Nigeria · WAT (UTC+1) · remote-friendly
Education
B.Sc. Computer Science, Landmark University
Focus
Medical imaging · RAG & LLM apps · data pipelines
Download CV ↓ Email me
[ THE STORY ]

How I got here.

// 2021 — now, oldest first
2021 — 2025

B.Sc. Computer Science

Landmark University

Where it started. Two things happened during the degree:

// during the degree
may — oct 2024

Data Engineering Intern · industrial training (IT)

TETFund · Abuja

My industrial-training (IT) placement, taken in 300 level in the middle of the degree. That is why it sits inside my university years.

  • Supported institutional data management with Python and Excel, improving consistency across datasets used for reporting.
  • Developed classification and reporting scripts and an automation pipeline that reduced manual reporting work.
  • Assisted with database maintenance and smoother reporting workflows.
2025 · final year

Final-year project: multimodal breast cancer detection

Landmark University

A model that reads a breast scan and the clinical record together. 0.91 AUC, served through FastAPI in Docker.

read the project
sep — oct 2025

Data Engineering Intern

Kontemporary Konsulting Ltd · Abuja

My first role after graduating: automating data collection a team was doing by hand.

  • Developed a Selenium-based scraping system that aggregated polling-unit records across Nigerian states, replacing manual collection.
  • Cleaned and standardised datasets by State and LGA, resolving mislabelled fields for downstream analysis.
  • Developed a reusable Python workflow that exports structured multi-sheet Excel reports for stakeholders.
  • Designed and developed a multi-page responsive website redesign ↗.
  • Implemented a Random Forest classification model with preprocessing, evaluation and metric visualisation, documented for reuse.
read the polling-unit project
jul 2026 — present

AI/ML Engineer

Integrity Organization Ltd

Where I am now: building LLM and backend systems used inside the organisation.

  • Built backend modules for internal web platforms with Python, FastAPI, PostgreSQL and Docker.
  • Built retrieval-augmented generation (RAG) and LLM-evaluation components using LLM APIs, vector search (pgvector) and DSPy.
  • Built document-processing and data-extraction pipelines (PDF parsing, OCR) backed by automated tests.
  • Built the organisation’s website and online store.
  • Wrote technical documentation, meeting minutes and progress reports for non-technical stakeholders.
[ TECHNICAL MATRIX ]

Capabilities.

// tools I use in real projects
// machine-learning
pytorchtensorflow / kerasscikit-learnvit · dinov2 · medcliptabnetcnn transfer learninggrad-cam
// llm-and-rag
langchaindspyfaisschromadbpgvectoranthropic · openai · gemini apistool-calling agentsmcp
// backend-and-deployment
fastapipostgresqlsqlalchemy · alembicredisdockergithub actionssupabasepytest
// data-engineering
pandas · numpyseleniumbeautifulsoupocr / pdf parsingexcel reportingweb scraping
// languages
pythonsqljavascriptc#c++
SYSTEM_STACK
├── PyTorch & TensorFlow // medical imaging, vision transformers, multimodal fusion
├── LLMs & RAG // pgvector / FAISS / ChromaDB retrieval, DSPy, LLM evaluation
├── FastAPI, PostgreSQL & Docker // backend services and containerised deployment
└── Python & Selenium // scraping, OCR / PDF extraction, scheduled automation
[ CERTIFICATIONS ]

Certifications.

Claude 101anthropic · april 2026
Building with the Claude APIanthropic
AI Fluency: Framework & Foundationsanthropic
Introduction to Agent Skillsanthropic
Machine Learning Foundationsaws educate
Data Science Certificateafrihub ict institute
Email me CV ↓