• Redesigned the high voltage safety system and PCB for the car using Altium Designer. Responsible for schematic design, part sourcing, PCB routing, manufacturing, and testing.• Tested, attached, and documented wire harness connections.

TA for INNOVATE 1Z03- Artificial Intelligence

• Created an API endpoint to enable real-time internet responses for a chatbot, and implemented a CI/CD pipeline to deploy the solution on Google Kubernetes Engine (GKE)• Led development for an image recognition model for network equipment to automate email personnel monitoring for ladder truck requests• Designed a new architecture for a multimodal chatbot to enhance Retrieval-Augmented Generation (RAG) processes and improve response times• Automated the workflow for the construction team by developing a solution that uses Generative AI to extract key information from emails and log it in Google Sheets, incorporating robust error handling mechanisms

• Initiated and designed AI/cloud architecture for predictive maintenance of network equipment• Implemented an energy optimizing reinforcement learning model for a data center HVAC system• Performed unsupervised learning on battery data to be used in a business case to reduce maintenance scheduling• QA tested LLM chatbot and contributed to the AI governance plan surrounding it• Was SME for AI climate change initiative- computer vision integrated cameras on cell towers to detect wildfires in BC• Benchmarked software for nonlinear structural analysis of utility poles

• Led a team of 6 undergraduate students in creating an AI data management tool "Second Brain for Students"• Oversaw design decisions, budgeted resources, managed team member progress, facilitated weekly meetingsProject Description: Every student is assigned a personal vector database where school related data of any sort (PDF, Word, Excel, etc..) can be uploaded. Through a chat-like interface, they can ask questions related to their data. Students questions are vectorized and through similarity search, compared to their documents to extract the most relevant sections. This optimizes token costs when both the question and relevant section are passed to the LLM API to generate a response to the question. All interactions are through a web based interface.

Managed staff, daily assembly and disassembly of seasonal event , interacted with park visitors, resource management.

Planned and delivered educational programs for the public, interpreted historical and natural attractions at the park, resource management. Engaged with hundreds of visitors on a daily basis.

Provided bilingual educational tours for families on various historical attractions and practices around the park, interacting with 200+ visitors on a daily basis.

Greeted and engaged with visitors at the front of the restaurant. Managed both hosting and cleaning responsibilities in a fast-paced environment during peak hours.

Planned and delivered swimming lessons for small groups of children. Managed class time, tracked student progress, and conferenced with parents.