Hi, I'm Angel

Developed and optimized backend services for RBC's Data Sharing API platform, enabling secure data exchange for initiatives such as Open Banking and Interac Pay-By-Bank.

• Designed and implemented a Cryptography service following JOSE (JSON Object Signing and Encryption) standards, ensuring secure, compliant transmission of sensitive client data across distributed systems
• Architected the service for scalability and modularity, leveraging stateless design, clear service boundaries, and extensible components to support high-throughput API workloads
• Improved application startup performance by 80% by introducing multithreading and parallel initialization of critical components
• Built and enhanced Java Spring Boot APIs deployed on OpenShift, contributing to production-grade backend systems used by internal and external consumers
• Translated business and security requirements into technical designs, including API specifications, data mappings, and system workflows
• Conducted performance tuning, debugging, and root cause analysis to improve reliability and efficiency of services
• Contributed to CI/CD and DevOps workflows, supporting deployment, monitoring, and production stability
• Participated in design reviews, technical discussions, and presented solutions to stakeholders and team members

Led the development of DDP Hunt, an interactive scavenger hunt platform inspired by the @ CUSEC 2026 Scavenger Hunt, along with my internship and adapted for internal use at RBC. Refactored and rebuilt the codebase alongside to create a scalable and engaging system that allowed participants to claim hunt items via QR codes and unique codes, accumulate points, and redeem prizes in real time. Hosted and executed a live event involving 30+ co-op students across RBC Digital and Wealth Management Technologies, driving engagement through gamification and seamless user experience. Key contributions:

• Led architecture and development using Next.js and MongoDB
• Designed real-time point tracking and reward redemption system
• Pitched the idea to the VP of my branch to further discuss how this technology can be used in real scenarios to improve customer experience

• Developing and optimizing automation processes to improve data accuracy and operational efficiency within the Identity & Access Management (IAM) Analytics & Governance team.
• Collaborating with cross-functional teams to enable data-driven decision-making strategies for Global Cyber Security.
• Building and maintaining dashboards for clear visualization of insights and recommendations.
• Assisting with database management, testing, and documentation of end-to-end data flows.
• Working in an agile environment to deliver secure and scalable solutions aligned with business needs.

• Spearhead 4+ technical workshops and study sessions per term for GDG @ Seneca Polytechnic, driving 150+ student attendees and fostering a hands-on developer learning community.

• Currently developing a conference website for CUSEC 2027.
• Leading two teams: Tech General & Tech Growth to coordinate and develop technology at CUSEC.

• Worked on UI and UX Design for CUSEC 2026.
• Final result: https://2026.cusec.net

• Tought robotics using LEGO NXT and EV3 to introduce engineering and programming fundamentals.
• Lead game development sessions with Roblox Studio (Lua) to build interactive 3D experiences.
• Instructed Python and C++ programming, covering core concepts like loops, functions, and OOP.
• Designed hands-on projects that develop logical thinking, creativity, and problem-solving skills.
• Adapted teaching methods for different age groups and skill levels in a fun, engaging environment.

• Supported 60+ students per semester through hands-on help with assignments and lab activities.
• Raised class average by 30% through one-on-one guidance and peer-learning strategies.
• Maintained a safe and collaborative lab environment by enforcing lab guidelines.

• Mentored 20+ students weekly in C++ and Python fundamentals, resulting in a 95% lab pass rate.
• Created interactive debugging sessions and coding challenges to reinforce core OOP concepts.

• Developed predictive models to analyze market patterns, leading to a 10% increase in simulated returns.
• Built data pipelines using Python and JavaScript to automate extraction and transformation of financial datasets.
• Integrated NLP-powered prompt engineering for news-based sentiment analysis, improving short-term prediction reliability by 15%.