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Experience / CV

Chukwudi Ofoma.

AI engineer, machine learning, research-minded

First-class computer science graduate who would rather ship than talk, and does a fair amount of both. I lead AI at Plural Health, where language models draft clinical notes and the clinician stays in charge, and I teach over 160 students the year they write their first program. My research puts unsupervised clustering to work on steel micrographs, and what I care about most is the unglamorous part: reliability, evaluation, and the distance between a demo and something people trust with real work.

4.94/5.00
CGPA, best graduating student
160+
students taught a semester
40%
faster clinical workflows
$5,000
hackathon won

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Experience

Lead AI Engineer, Plural Health

Jan 2026 – Present

  • Design and ship LLM-powered systems that automate clinical documentation and workflow.
  • Work with open-source models (Qwen, DeepSeek) in PyTorch, building NLP pipelines for classification, summarization, and task automation.
  • Cut doctor-patient interaction overhead by 40% in early-stage testing.
  • Build scalable AI that integrates into EHR platforms rather than sitting beside them.

LLMs / PyTorch / NLP / Healthcare AI / Python

Adjunct Lecturer, Computer Science, Pan-Atlantic University

Sept 2025 – Present

  • Teach programming, algorithms, and problem solving to over 160 students a semester.
  • Added Responsible AI and experiential learning to the curriculum.
  • Mentor students into internships and their first real technical work.

Teaching / Curriculum design / Mentorship

Full Stack Engineer, UserCanDo

Jul 2023 – May 2025

  • Built scalable backends and APIs for a range of business clients.
  • Shipped HR automation that improved operational efficiency by 50%.
  • Worked across teams to deliver production-ready software.

Backend / APIs / Automation

Software Engineer Intern, MyAI Inc.

Oct 2022 – Jan 2023

  • Built full-stack features with React, NestJS, and PostgreSQL.
  • Owned debugging, testing, and documentation on production systems.

React / NestJS / PostgreSQL

Skills

Machine learning

Software engineering

Tools

Projects

Horizon AI, Payaza Hackathon winner

2024

  • Led an AI credit-scoring platform built for financial inclusion.
  • Won the $5,000 top prize against a competitive field.
  • Built the user-facing systems and worked across engineering and design.

AI / Fintech / Team lead

AI-Powered Wallet Management System, React, AWS, Python

2024

  • Multi-currency wallet with secure payment integrations.
  • Lifted user engagement 25% through UI work and testing.

React / AWS / Python

Research

AI Refinement Using Unsupervised Clustering Methods

2024

  • Compared k-means, DBSCAN, and hierarchical clustering on a real industrial dataset from the Spanish steel company iSEND.
  • Showed k-means beat the existing classification model on accuracy.
  • Focused on making classification more reliable without labelled data. Preparing the work for publication.

Clustering / Unsupervised learning / Benchmarking

Education

B.Sc. Computer Science, Pan-Atlantic University

Oct 2020 – Jul 2024

  • Best Graduating Student. CGPA 4.94/5.00. Salutatorian.

Senior School Certificate, Peaklane College

2012 – 2018

  • Best Graduating Student, 11 A1s.

Awards and recognition

Awards

  • Best Graduating Student, Computer Science (CGPA 4.94/5.00)
  • Salutatorian, Pan-Atlantic University
  • Full Academic Scholarship recipient
  • Winner, Payaza Hackathon ($5,000 prize)
  • Participant, AI and NVIDIA conferences

Known for

  • President, Tech Club, Pan-Atlantic University
  • Secretary, Alumni Association (2025 – Present)
  • Class Representative
  • CTO, CoinCircuit

Research interests

Core machine learning theoryNatural language processingAI in healthcareScalable AI for real-world use