Staff Software Lead & AI Researcher

Bridging Enterprise Engineering,
Clinical Research & AI Governance

PhD Candidate specializing in Physical Therapy & Machine Learning. Architecting Federated RAG systems and search at Thomson Reuters. Dual-certified in AI Governance (AIGP) and Business Analysis (CBAP).

13+
Years Experience
4
Countries
3
Continents
1000+
Hours Saved
View Projects ORCID Profile
Oyindolapo
AIGP Certified AI Governance Professional
CBAP Certified Business Analysis Professional
Oyindolapo
About Me

From Lagos to Ontario -- A Global Research Journey

I am a Staff Software Lead & AI Researcher with 13+ years of global experience spanning 4 countries across 3 continents. My career bridges enterprise engineering, clinical research, and AI governance -- a unique intersection that enables me to build ethical, scalable, and revenue-driving AI solutions in highly regulated environments.

Currently a PhD Candidate at Western University, Canada, I specialize in Physical Therapy & Machine Learning. At Thomson Reuters, I architect Federated RAG systems and multimodal search architectures that enable secure retrieval across siloed enterprise repositories while maintaining data sovereignty.

My research focuses on adaptive learning systems, clinical AI validation, and multi-objective optimization for health professions education. I am passionate about translating cutting-edge AI research into deployable solutions that improve human outcomes.

AI/ML Research Multimodal RAG, LLM Fine-tuning, NLP
Engineering C#/.NET, Python, Distributed Systems
Governance Ethical AI, Risk Assessment, AIGP
Clinical Research Physiotherapy, Health Data, Case Studies
Research Focus

Core Impact Areas

Translating AI research into real-world systems across healthcare, education, and enterprise intelligence.

Multimodal RAG & Search

Architecting distributed AI ecosystems with Federated Search and temporal-aware retrieval for enterprise knowledge management and regulatory compliance.

Adaptive Learning Systems

Multi-objective optimization algorithms integrating cognitive load theory, ZPD, and Bayesian Knowledge Tracing for personalized health professions education.

Clinical AI Validation

Dual-layer validation frameworks combining automated LLM screening with expert clinical review for synthetic case generation and medical education.

AI Governance & Ethics

Certified AI Governance Professional (AIGP) building ethical frameworks, risk assessment protocols, and impact evaluation for responsible AI deployment.

IoT & Edge Computing

Architecting access control systems using .NET Core, AWS Greengrass, and MQTT for robust cloud-to-device communication in distributed environments.

Data Engineering & Analytics

Enterprise data migration, Snowflake warehousing, Terraform automation, and predictive modeling for customer lifetime value and business intelligence.

Featured Work

Recent Projects

Peer-reviewed research, award-winning systems, and production-grade AI implementations.

Active Research

PhysiCase

Dual-layer validation of synthetic physiotherapy cases using Generative AI. A reproducible pipeline combining automated LLM-based screening (DeepEval) with expert educator review to generate high-quality synthetic MSK case studies for health professions education.

LLM-as-Judge Synthetic Data Clinical Validation Physiotherapy
Western University · 2026
Active Research

DART — Degradation-Aware Post-Distillation Refinement with Teacher-Agreement Rewards

Addresses the challenge of how smaller student models can inherit domain-specific clinical reasoning from larger teachers while minimizing the quality degradation typically introduced by compression

Data Quality AI Agent Enterprise Award-Winning
Western University · 2026
Conference Paper

Multi-Objective Adaptive Learning Algorithm

A novel adaptive learning algorithm that unifies knowledge state, cognitive load, learning style, engagement, and exploration into a multi-objective scoring framework. Integrates BKT, ZPD, CLT, and UCB with hard pedagogical constraints for case-based health professions education.

Bayesian Knowledge Tracing Cognitive Load Theory Reinforcement Learning Health Education
Accepted · SAIC Conference on Computing · 2026
Poster Presentation

Insomnia Classification from Clinical Notes

LLM-based binary insomnia classification from MIMIC-III clinical notes using GPT-5.2 with Chain-of-Thought reasoning. Implements three strategies: fixed 8-shot prompting, dynamic semantic retrieval, and self-consistency voting with component-level majority voting.

Clinical NLP Chain-of-Thought MIMIC-III Self-Consistency
Accepted · #SMM4H-HeaRD 2026 · ACL Workshop · 82.35% F1 (Test)
More Work

Other Projects

Open-source tools and research utilities for the AI research community.

AI Literature Review Co-Reviewer

An intelligent co-pilot for systematic literature reviews using LLMs to assist researchers with paper screening, synthesis, and gap analysis. Automates the tedious aspects of academic review workflows.

GitHub

Research Examiner

An AI-powered examination and assessment tool for evaluating research quality, methodology rigor, and statistical soundness. Designed to support peer review and thesis examination processes.

GitHub
Research Output

Publications & Presentations

Peer-reviewed papers, conference proceedings, and poster presentations.

A Multi-Objective Adaptive Learning Algorithm: A Synthesis of Pedagogical Models

Oyindolapo Komolafe
Conference Paper SAIC Conference on Computing · 2026

Prestige at #SMM4H-HeaRD 2026: Binary Insomnia Classification from Clinical Notes Using LLMs with Chain-of-Thought Reasoning

Oyindolapo Komolafe
Poster 11th Social Media Mining for Health (#SMM4H) & HeaRD Workshop · ACL 2026

PhysiCase: Dual-Layer Validation of Synthetic Cases Using Generative AI

Oyindolapo Komolafe, Angela Roberts, Jacob Shelley, Andrews Tawiah
Pilot Study Western University · CARES AI Research Group · 2026
Career Journey

Professional Experience

From enterprise software to clinical AI research -- a trajectory of impact.

Aug 2024 – Present

Staff Software Engineer

Thomson Reuters
  • Architected Multimodal RAG system and Federated Search architecture
  • Developed dual-layered Fact Extraction pipeline using SpaCy + custom NLP
  • Integrated temporal capabilities for regulatory context weighting
  • Built award-winning Data Fitness AI Agent ("Best AI Solution")
Jan 2025 – Present

AI Researcher

CARES AI Research Group
  • Principal Investigator
  • Curating multi-cultural datasets for model generalizability
  • Co-authoring articles on collaborative AI methodologies
Dec 2022 – Aug 2024

Lead Developer

VisionTech Consulting
  • Architected IoT access control system (.NET Core, AWS Greengrass, MQTT)
  • Designed advanced identity verification with security protocols
  • Led hardware-software integration using Python/C++
May 2022 – Dec 2022

Data & Analytics Specialist

Day & Ross
  • Migrated legacy data systems to Snowflake using Informatica
  • Designed interactive executive dashboards for decision-making
Nov 2021 – Mar 2022

Software Engineer

Revel Systems
  • Automated Data Warehouse onboarding using Terraform and AWS Lambda
Jun 2021 – Nov 2021

Data Scientist

Monetha
  • Developed two-layer models for Customer Lifetime Value estimation
Dec 2017 – Sep 2020

Developer (Seconded to ExxonMobil)

Ariosh / ExxonMobil Corporation
  • Launched enterprise apps saving 1,000+ work hours
  • Facilitated technical training for 2,000+ personnel
  • Managed strategic forecasting with 100% Receivable Recovery rate
Academic Foundation

Education & Certifications

A multidisciplinary foundation spanning computer science, physical therapy, and AI governance.

Ph.D. Physical Therapy & Machine Learning
Specialization in Clinical AI & Adaptive Systems
Western University, Canada
2024 – 2028
M.Sc. Computer Science
Human-Computer Interaction
University of New Brunswick, Canada
2021 – 2023
M.Sc. Computer Science
Artificial Intelligence
Babcock University, Nigeria
2014 – 2016
B.Sc. Computer Science
Information Systems
Babcock University, Nigeria
2009 – 2013
Data Science (Machine Learning)
Turing College, Lithuania
Online Program
2021

AIGP

AI Governance Professional (IAPP)

CBAP

Business Analysis Professional (IIBA)

MCSD

Microsoft Certified Solutions Developer

IBM

Enterprise Design Thinking Co-Creator
Technical Stack

Skills & Expertise

A comprehensive toolkit spanning AI research, software engineering, and enterprise architecture.

AI / ML Research

Multimodal RAG LLM Fine-tuning NLP Clinical Data Modelling Bayesian Knowledge Tracing Cognitive Load Theory Reinforcement Learning Chain-of-Thought Self-Consistency Retrieval-Augmented Generation

Engineering & Architecture

C# / .NET Core Python C++ Distributed Systems AWS Greengrass (IoT) Snowflake Terraform AWS GCP MQTT SpaCy JAX

Governance & Strategy

AI Governance (AIGP) Business Analysis (CBAP) Ethical AI Frameworks Risk / Impact Assessment Enterprise Design Thinking Data Sovereignty Regulatory Compliance

Let's Connect

Interested in collaborating on AI research, clinical technology, or enterprise architecture? I'm always open to meaningful conversations.

okomola@uwo.ca ORCID: 0009-0009-2614-7805 github.com/kwid-ai CaresAI Research

Open to Collaboration

Currently seeking research collaborators in clinical AI, adaptive learning systems, and responsible AI governance. If your work intersects with these areas, I'd love to hear from you.

Get In Touch

2026 Oyindolapo Komolafe. All rights reserved.

ORCID