I'm an Adjunct Assistant Professor & Senior Analytics Developer at Queen's University and the CTO of Tradvo Inc.

As the Co-Founder and CTO of Tradvo and a key contributor at Queen's University within the Centre for Advanced Computing, I specialize in developing cutting-edge digital transformation solutions that leverage Artificial Intelligence, Blockchain, and Quantum Computing. My focus is on industry 4.0 innovations, and I’m passionate about driving technological advancements across sectors.

Previously, I was an IBM CAS researcher and contributed to the Database Systems Lab (DSL) as an NSERC CREATE graduate, where I specialized in Ultra Large-Scale Systems. I completed my PhD at Queen’s University in 2017, under the supervision of Prof. Patrick Martin, focusing on distributing machine learning algorithms.

🔭 I’m currently working on
- Developing an automated accessibility evaluation platoform for documents, desktop software, and mobile applications.

👯 I’m looking to collaborate on
- Innovative multimodeal LLM for accesibility evaluation.

🌱 I’m currently learning
- Advanced multimodel LLM architectures.

💬 Ask me about
- Web development, mobile development, data storage, big data analytics, CI/CD automation as well as distributed machine learning.

Let’s connect to discuss how we can work together to create innovative, scalable solutions in the world of AI, big data, and digital transformation.

• Big Data Analytics: 8 published papers
• Machine Learning: 3 published papers
• Distributed Processing: 7 published papers
• Augmented Analytics: 2 published papers
• Intelligent Assistance: 1 published paper

Jan 2019 – Present
Kingston, Ontario, Canada
As a solution architect and technical lead, I spearhead projects across various domains using technologies such as ReactJS, NodeJS, GraphQL, NestJS, Django, Flutter, Python ML libraries, Kafka, Docker, and Kubernetes. My focus spans from DevOps to system architecture, delivering impactful solutions for data visualization, big data analytics, and machine learning.

Sep 2019 – Present
Remote
At Tradvo, I lead the development of our automated accessibility testing platofrm and our social e-tradeshow platform, using ReactJS, Laravel, Django, Postgress, MongoDB, Redis, Kafka, Celery, Docker, Kubernetes, Ansible, Terraform and AWS to create a seamless, scalable experience. As the CTO, I oversee technical strategy, system architecture, and the implementation of innovative solutions to revolutionize user experiences.

• Health Innovation Kingston (HiYGK): Leading the development of healthcare solutions that help startups transition from concept to execution.
• Caddie Health: Building an EMR-integrated billing platform using GraphQL, NestJS, MongoDB, and AWS to streamline medical billing processes.
• WEMA: Developing a phone-based platform for cervical cancer detection using Django, Flutter, and PostgreSQL. Deployed in Kenya, Rwanda and Tanzania.
• Eye Tracking: Using ReactJS, NodeJS, and Docker to create a web app for tracking eye movement during medical trials.
• Contact Lens: A machine learning-driven platform using ReactJS, OpenCV, and MediaPipe for glaucoma detection through pressure estimation in medical contact lenses.
• [Athabasca University Educational Coach]: A chatbot platform designed to assist students in navigating their course material. It utilizes ReactJS, NodeJS, MongoDB, IBM Watson Assistant, IBM Watson Discovery, IBM Watson NLU, Docker, and Kubernetes to create conversational interfaces from uploaded course content and answer student inquiries.
• [Here4U App – Military Version]: A mental health support app tailored for members of Canada’s military community. It employs ReactJS, NodeJS, MongoDB, IBM Watson Assistant, Docker, and Kubernetes to offer AI-driven conversations, identify mental health concerns, and provide referrals to self-help resources or professional care.
• City of Kingston Quality of Life Tools: A web application developed using ReactJS, NodeJS, Python ML libraries, Selenium, and MongoDB to assess quality of life in Kingston. Features include an amenities map, cost of living calculator, curated career search, a neighborhood quiz for newcomers, and KingstonConnect to link employers with talent.

PhD in Artificial Intelligence and Big Data Analytics
Queen's University (2012 – 2017)

• Quantum Programming Core – D-Wave (Feb 2024)
• Certified HIPAA Privacy Security Expert (CHPSE) – HIPAA Training (May 2023)
• API Security Green Belt – Security Journey (Apr 2023)
• AWS Security Green Belt – Security Journey (Apr 2023)
• DevSecOps Security Green Belt – Security Journey (Apr 2023)
• OWASP Security Yellow Belt – Security Journey (Apr 2023)
• EMC2 Information Storage Associate (EMCISA) - EMC (Apr 2012)

• Invited Speaker: “AI Workshop” at TiECon Canada
• Panel Member: “Higher Education: Preparing the Next Generation of Workforce” at IMPACT AI Conference
• Guest Lecturer: “Big Data Analytics Bootcamp” at St. Lawrence College
• Guest Lecturer: Google IgniteCS at Queen’s University on IoT, Cloud Computing, and Big Data.