• Managed digital presence through website and mobile application administration using PeopleVine CRM for luxury car enthusiasts
• Oversaw network infrastructure including Unifi device configuration, Ethernet installations, and comprehensive troubleshooting
• Directed audio-visual operations utilizing Behringer X32 mixing console for sophisticated sound management during member events
• Configured integrated audio routing from multiple input sources including media players, wireless microphones, and live performances
• Collaborated with management to deploy technological improvements aligned with premium brand identity

• Conducted extensive research in artificial intelligence and competitive reinforcement learning, developing novel algorithms and models
• Led laboratory exercises for undergraduate students, teaching hands-on skills in data analysis, simulation, and visualization using Python
• Contributed to multiple peer-reviewed publications in journals and conferences, presenting research impact on the field
• Supervised undergraduate thesis student (2024-2025) and 2 summer research assistants (2025)
• Served as VP of Finance for Physics Graduate Student Union (2024)

• Improved user experience and functionality of Dockets.ca SaaS through strategic product consultation
• Established strong brand image by developing comprehensive branding strategy, including style guides, logos, and application icons
• Streamlined onboarding process for provincial bodies by creating informative video tutorials and demo videos
• Demonstrated expertise in Adobe Creative Suite to create visually appealing materials showcasing software capabilities

• Applied advanced statistical and machine learning techniques to research prediction markets: universality, efficiency, tribalism, and time series clustering
• Conducted in-depth statistical and geospatial analysis of large cellphone datasets (200+ GB) to evaluate COVID-19 spread and superspreader events
• Applied statistical physics and information theory to model virus transmission and determine key risk factors
• Authored scientific paper as first-author on social distancing and COVID-19 spread
• Presented research findings at American Physical Society and other conferences

• Led audio production of the Toronto Metropolitan Student Union podcast "VERIFIED," emphasizing equity and inclusion
• Managed audio and video equipment including microphones, mixing boards, and recording software
• Transitioned recording process to remote setup using web-based technologies during COVID-19 lockdowns
• Elevated listening experience through creative sound design elements

• Designed and implemented comprehensive online survey platform using HTML, PHP, Laravel, Java, JavaScript, JSON, and MySQL
• Established secure user authentication and data management systems for longitudinal program evaluations
• Built platform management portal providing centralized control over evaluations and survey tools
• Generated insightful yearly reports using IBM's SPSS software to analyze longitudinal data trends

• Specialized in Complex Systems, conducting research in artificial intelligence, competitive reinforcement learning, and network analysis
• Developed novel algorithms for network defense against adversarial deep learning attacks
• Published multiple peer-reviewed papers in leading journals including PRX Life
• Presented research at American Physical Society, Complex Systems Day, and CAP Congress
• Awarded multiple NSERC grants and Ontario Graduate Scholarship totaling over $40,000

My doctoral research focuses on developing AI systems that can defend against adversarial attacks on network infrastructure, with applications to critical systems like power grids. This work combines deep reinforcement learning, network theory, and cybersecurity principles.

• Graduated with Honours, maintaining high academic standing throughout degree
• Awarded Dean's List recognition for three consecutive years (2019-2022)
• Received Connections in Science award for multidisciplinary excellence
• Specialized in computational physics and early AI applications in physical systems
• Completed undergraduate thesis on "Network Defense Against Adversarial Deep Learning"

This degree provided the foundation in physics, mathematics, and computational methods that supports my current research in complex systems and AI applications.

• Specialized in recording, mixing, and mastering audio with focus on music and broadcasting
• Completed advanced coursework in audio signal processing, studio recording techniques, and sound design
• Gained proficiency in Pro Tools and industry-standard recording equipment
• Applied skills professionally in audio engineering projects, including Polaris Prize long-listed album "999"

This technical training in audio engineering developed my attention to detail and problem-solving skills while working with complex technical systems, skills that transfer well to software development and research.

• Stochastic Network Defense (First Author): Deep Reinforcement Learning approaches for robust defense strategies against network attacks
• Universality in Betting Markets (Second Author): Universal trends in prediction market odds and outcomes across diverse betting contracts
• COVID Mobility Patterns (Co-First Author): Analysis of 200+ GB mobile phone data studying social distancing policy impacts on mobility