Computer Science student following problems across AI, software, and research
Selected projects across software, AI, data, and research
An antimicrobial resistance prediction and surveillance platform that turns pathogen DNA into explainable risk reports within hours instead of days.
Explainable JSON risk reports; 99% confidence reliability
Upload lecture notes (even the garbled ones) and get answers, follow-up questions and MCQ quizzes, plus the exact retrieved context behind every answer.
Deployed; multi-layered retrieval solved garbled-PDF relevance
A census-scale income classifier benchmarking five algorithms with rigorous validation, feature dependency testing, and hyperparameter tuning.
ROC-AUC 0.8949 · precision 70.6% → 83.5%
Peer-reviewed work and accepted abstracts.
2026
Joshua Eze, Francisca Mbanwusi, Chioma Oparaku, Beatrice Uzoma, Ejiabor Rita, Mmesoma Nzeribe
Conference AbstractNeuroscience Society of Nigeria (NSN) Annual Conference, via RIN-UNN
Roles and community work, noted along the way.
2026
Championing financial technology literacy across university student communities.
2026
Spearheading campus-wide technical enablement by organizing collaborative hackathons, live-coding sessions, and hands-on workshops.
2026
Hands-on machine learning workshops
2026
Mentoring peers on modern development tools, and cultivating an inclusive ecosystem for student innovators to build impactful, scalable solutions.
Build logs and lessons from the lab.
Antibiotic resistance could kill 10 million people a year by 2050. Requence fights back with k-mers, SNPs and SHAP values; here is why speed and interpretability is not optional in healthcare.
1 min read
My course notes were too messy for naive vector search. This is the build log of a RAG system that survived garbled PDFs: hypothetical document embeddings, BM25 hybrid search, and a cross-encoder reranker.
1 min read
A research question. A strange technical problem. A project idea. An opportunity. Start a conversation
chinweogorita008@gmail.com