Carson
Software Developer @ Botpress
I'm a full-time student studying Engineering Technology and Applied Sciences @ Memorial University and a CS alumni from John Abbott College. I also am a Software Developer @ Botpress and the Co-Chair of CUSEC! In my free time I'm most likely tinkering with whatever cool tech I come across, going to hackathons, or working on my own projects. Also, I really like penguins.
Projects
All-in-one AI-native surveillance suite for monitoring and analyzing live feeds from various sources autonomously.
IoT-based smart farming solution for automated plant monitoring and control through a bi-directional MQTT Azure pipeline.
AI-powered URL-based knowledge base for interactive learning and exploration using RAG AI and a Vector database for information storage and retrieval.
3D interactive career coach for exploring and discovering career paths using AI and complex data analysis.
Neural decoding of the retrosplenial cortex of mice through Machine Learning analysis of L2/3 neuron activity to predict mouse navigation decisions.
Experience
- Building an automated CI/CD AI WCAG accessibility tool reducing audit times by 99%.
- Handling product development for customer-facing AI tools and features.
- Leading the organization of Canada's largest student tech conference, with 350+ attendees from 15+ universities nationwide.
- Improved UI/UX, ensuring responsiveness and consistency. (Next.js, TypeScript, Docker)
- Built an AI recruitment tool using Python, vector databases, and AWS Lambda, improving accuracy by 90%
- Resolved 100+ critical IT incidents across municipal infrastructure, ensuring uninterrupted city services.
- Performed cybersecurity remediation using CrowdStrike Falcon, eliminating 4,500+ vulnerabilities.
- Managed a team of 5 to ensure the successful organization and execution of the hackathon.
- Organized the event with a short timeline of 1.5 months, resulting in 130+ attendees and overly positive feedback.
- Learned Machine Learning and AI topics and material under PhDs.
- Developed the ML project TradeMind to predict the stock market using Python and Keras.
- Presented the project to a panel of investors and industry professionals.
- Noted as the top project of the program's conception.
Education
- Engineering, technology, project management, applied statistics, business, and more.
- Economics, realized business isn't for me.
- Completed a comprehensive 3-year Computer Science DEC program with a focus on software development, mobile app development, and IoT technologies.
- Built a strong foundation in programming fundamentals, algorithms, data structures, and computer architecture while developing practical skills in full-stack development.