As the Chief Security Officer (CSO) at Botler, I spearheaded the design and architecture of an advanced machine learning system tailored for the Canada Border Services Agency (CBSA). My work involved close collaboration with CBSA internal teams to develop a solution that leverages cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms. The models were trained on extensive CBSA policies, enabling it to detect, identify, and highlight policy violations with high accuracy.Architected AI/ML Models: Designed machine learning models to interpret and apply CBSA policies, enhancing policy violation detection and compliance verification.Incident Investigation: Streamlined incident investigation protocols by integrating AI-driven analytics, reducing the time required for uncovering policy breaches and potential fraudulent activities.Corporate Fraud Investigations: Played a pivotal role in corporate fraud investigations by deploying advanced AI tools that amplified the precision and reliability of detecting irregularities and misconduct.Interdisciplinary Collaboration: Worked cross-functionally with CBSA teams and external contractors, ensuring the seamless implementation and operationalization of the AI system within existing frameworks.These efforts culminated in the creation of a robust, system that not only upholds the integrity of the CBSA's operations but also sets a new benchmark for leveraging AI in public sector governance.

Fighting misconduct. One incident at a time.

At Squado Inc., a company dedicated to fostering social engagement through web-based enterprise tools, social applications, and a global influencer network, I served as the Interim Chief Technology Officer. I led the design and development of comprehensive APIs and backend services designed to support a suite of client-side applications, ensuring scalable, reliable, and efficient system architecture.API Development: Architected and implemented a robust API infrastructure for seamless integration across multiple client-side applications.Backend Services: Designed and developed scalable backend services to handle various operations in social applications and enterprise tools.System Integration: Ensured smooth interoperability between services and applications, enhancing the overall user experience and operational efficiency.

At Retinad, a company providing intelligent analytics for VR & AR (later acquired), I was instrumental in designing and developing data aggregation and visualization tools. These tools delivered critical insights by analyzing data collected from various sensors in VR headsets, enhancing advertisers' and creatives' ability to track user behavior and interactions within VR environments.Data Aggregation: Engineered sophisticated data aggregation systems capable of handling high-frequency sensor data from VR headsets.Visualization Tools: Developed interactive data visualization tools to translate complex datasets into actionable insights.Behavioral Analytics: Enabled precise tracking and analysis of user behavior within VR experiences, significantly improving analytics capabilities for stakeholders.

At nTerop Corporation, a platform focused on relevant information sharing among law enforcement and homeland security operational stakeholders, I was responsible for the design and development of a contextually-aware information feed. This feed was utilized by field officers, enhancing situational awareness and operational efficiency.Contextual Awareness: Developed a context-aware information feed, dynamically adapting to the operational needs of field officers.Information Sharing: Implemented secure and efficient protocols for the seamless dissemination of relevant information among stakeholders.Operational Efficiency: Enhanced the decision-making processes of law enforcement and homeland security personnel through improved information accessibility.

At TOTI Virtual Teaching, a platform that assists students with stuttering and other speech impediments, I designed and fine-tuned algorithms to improve speech recognition accuracy. These algorithms filtered low-probability detections, thereby enhancing the efficacy of the main speech recognition system and providing more personalized and effective teaching to students.Algorithm Design: Created and optimized algorithms to filter out low-probability detections in speech recognition systems.Speech Recognition: Improved the accuracy and reliability of speech recognition for students with speech impediments.Personalized Learning: Contributed to the development of tailored virtual tutoring systems, enhancing learning outcomes for students.

At Relevant AI, I served as the Chief Technology Officer, where I led a multidisciplinary team of engineers and designers to develop innovative iPhone and iPad applications. Relevant AI functions as an intelligent interface layer, continuously learning patterns and contextual data from user interactions across various services to deliver timely and relevant information.Team Leadership: Guided a team of software engineers and designers, fostering a collaborative environment to drive the development of cutting-edge mobile applications.Product Development: Spearheaded the development of intelligent iPhone and iPad applications, ensuring seamless integration with diverse services to enhance user experience.Machine Learning Integration: Implemented advanced machine learning algorithms to analyze and learn from user interaction patterns, enabling the delivery of contextually relevant information.Contextual Data Analysis: Developed systems to continuously monitor and interpret contextual data, providing real-time insights and personalized user experiences.Technical Strategy: Defined and executed the technical strategy for the intelligent interface layer, driving innovation and ensuring the alignment of technology with business objectives.