About Me
A quick peek into my background, what drives me, and where I'm heading.
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The Background
I am a 4th-year Computer Science student specializing in Artificial Intelligence at Queen's University. My technical journey spans building scalable backend architectures at Bettermode to architecting proprietary multi-agent systems (MAS) that automate venture creation alongside researchers at the University of Oxford.
Queen's University
4th-year CS, AI specialization
Multi-Agent Systems
Oxford venture automation research
Education
Queen's University
Bachelor of Computer Science
Specialization: Artificial Intelligence
Awards & Achievements
- •2022 Queen's University Academic Excellence Scholarship
- •2021-2022 Ontario Scholar Award
Relevant Coursework
Experience
- Architected a Multi-Agent System (MAS) capable of automating the 'Double Diamond' innovation process.
- Collaborated with Oxford University researchers to engineer 20+ autonomous agents.
Software Engineer Intern
- Built a secure Microsoft Azure-based authentication system and integrated React frontend to enable seamless Microsoft account linking for unified user experiences
- Developed scalable backend services using Node.js, MongoDB, and SQL to support up to 20 Microsoft Teams channel connections per user, and implemented real-time notifications via RESTful and GraphQL APIs
- Designed and deployed a Microsoft Teams bot with Azure Bot Services, allowing users to engage with Bettermode community events and receive instant activity updates within Teams
Software Engineer Intern
- Led a team of interns to deliver high-quality client websites, providing mentorship and resolving technical challenges throughout the development cycle
- Designed and launched multiple WordPress-based websites from scratch, including a magazine store, focusing on layout design, plugin integration, SEO, and performance optimization
Featured Projects
A selection of projects showcasing my expertise in AI, machine learning, and software engineering
Xinovates
FeaturedAutonomous Venture Creation Platform
A research-backed platform that simulates a full startup founding team. Using a custom Multi-Agent Architecture, it guides users from abstract problem statements to validated business models.
TF Binding Prediction
Deep Learning & Genomics
Built a deep learning model using transfer learning to predict transcription factor binding sites from DNA sequences. Preprocessed genomic datasets and fine-tuned residual neural networks to classify binding regions, supporting biomedical research in eye-related genetic conditions.
Applied ML for Business Intelligence
AWS SageMaker, NLP, MLOps
Designed and deployed end-to-end MLOps pipelines with automated preprocessing, hyperparameter tuning, and real-time inference for a gym and restaurant. Leveraged K-Means for customer segmentation, Linear Learner for churn and sales prediction, and NLP (BlazingText, LDA) for feedback analysis to drive strategic, data-informed decisions.
GNUstep GUI Framework Analysis
Architectural Analysis & Enhancement
A year-long analysis of GNUstep's layered architecture, performing reflexion analysis with SCI tools, subsystem mapping, and design pattern evaluation. Proposed and architected a dynamic theming subsystem using MVC and event-driven design, enhancing usability and modularity while preserving cross-platform compatibility.
3D Femur Reconstruction
Medical Visualization
Simulated a medical imaging pipeline by reconstructing a 3D femur model from cross-sectional contour data using dynamic programming and minimum-area triangulation. Designed and implemented a mesh generation algorithm to interpolate between anatomical slices, enabling precise bone surface modeling for potential use in surgical planning or prosthetic design.
Skills & Technologies
A comprehensive toolkit spanning full-stack development, AI/ML, and cloud technologies
Languages
Frontend
Backend
AI & Agentic Systems
Cloud & DevOps
Automation & Tools
Get In Touch
I'm always open to discussing new opportunities, collaborations, or just having a chat about technology