I am a Medical Doctor and PMP-certified Project Manager and former Physician
with 10+ years of combined experience driving digital transformation,
workflow auttomation, and technology adoption across healthcare and HR-tech industries.
Proven success in delivering end-to-end software and data initiatives — including the full design,
launch, and automation of an online academy and corporate recruitment platform that improved
operational efficiency by 80% and tripled subscription revenue.
Completed four Stanford certifications in AI and Machine Learning,
with practical application to
healthcare data systems, product design, and governance
frameworks transferable across industries.
Currently advancing specialization in Software Product Management
to strengthen leadership in
data-driven innovation and enterprise AI initiatives.
I Specialized in data governance and AI project delivery,
applying healthcare-grade standards for data
integrity, compliance, and security (GCP, TCPS2, HIPAA
for Business Associates) to ensure
responsible AI deployment and trustworthy data ecosystems.
My experience encompasses leading cross-functional teams
spanning engineering, compliance, data, and product
groups, using Agile – Waterfall hybrid methodologies to
deliver high-impact outcomes on time and within budget.
I am adept at translating strategic objectives into actionable
execution plans, aligning stakeholders,
managing risks, and maintaining executive-level
visibility through clear reporting and performance metrics.
MANAGEMENT CONSULTANT
Focus CRM
Industry: SaaS / CRM / Digital Operations
Remote – Calgary, AB | Canada
PROJECT MANAGER — DIGITAL TRANSFORMATION & AI IMPLEMENTATION
Vidan Solutions Ltd
Industry: EdTech / International Healthcare Recruitment
Remote – Nigeria
PROJECT MANAGER – ONLINE ACADEMY PLATFORM DEVELOPMENT
Vidan Solutions Ltd
Industry: EdTech / International Healthcare Recruitment
Remote – Nigeria
MANAGER – ONLINE EDUCATIONAL PLATFORM AUTOMATION
Vidan Solutions Ltd
Industry: Educaton Technology (EdTech/Digital learning)
Remote – Nigeria
PHYSICIAN / CLINICAL PROJECT PARTICIPANT
Nigeria, Saudi Arabia, Oman
Bachelor of Medicine & Surgery
University of Nigeria, Nsukka
HIPAA for Business Associates
Certified
PMP® (PMI - 2020) | PMI-ACP | PMI-RMP
Project Management Institute
Introduction to Clinical Data
Stanford University
Evaluation of AI Applications in Healthcare
Stanford University
Fundamentals of Medicine Learning in Healthcare
Stanford University
Introduction to Healthcare System (of North America)
Stanford University
Software Project Management
Allison
Software Product Management
University of Alberta
Clinical Trial Project Management
Udemy
PMI-RMP® Certification
SimpliLearn
PMI-ACP® (Agile Certified Practitioner)
SimpliLearn
CCBA® Certification Training
SimpliLearn
Projects Managed
Happy Clients
By: Dr. Chidiebere Nwachukwu Ebube
There are stories of drivers who followed their navigation straight into a ditch,
or worse, a lake, despite every instinct telling them “this can't be right.”
That's automation bias - simply put, trusting a machine so much,
we shut down our own judgment.
Now imagine that happening in healthcare.
A clinician defers to an AI's diagnosis...
A nurse ignores their gut because the algorithm said “all clear”...
A fatal symptom goes unnoticed because the system didn't flag it.
With the explosion of AI in healthcare, we're racing to automate diagnosis, triage, treatment plans, and even life-or-death decisions.
But here's the truth:
The smarter the AI, the more we risk over-trusting it.
And in healthcare, that can cost lives.
Studies show clinicians are more likely to override their training when the AI appears confident, even when it’s wrong.
So how do we prevent this?
-Build AI systems that are transparent, explainable,
and designed to augment, not replace
-Train clinicians to question AI outputs, not just accept them
-Design technology that complements clinical reasoning
Because in healthcare, it's not just about building powerful tools.
It's about building trustworthy, transparent, and human-aware tools.
The goal isn't to replace the clinician.
The goal is to make them smarter, safer, and supported.
-Let's innovate, but not blindly.
-Let's trust tech, but not more than we trust reason.
Everyone's building another EMR.
Another triage chatbot.
Another AI assistant for the same old problems.
Meanwhile, real clinical pain points go untouched.
Let's talk about the blind spots:
Everyone's building another EMR.
Another triage chatbot.
Another AI assistant for the same old problems.
Meanwhile, real clinical pain points go untouched.
Let's talk about the blind spots: