Software Engineer @ WATonomous

currently working as a software engineer at watonomous, university of waterloo's autonomous vehicle research team. i am focused on developing and maintaining cloud infrastructure and computing solutions to support autonomous vehicle development and testing, with a particular emphasis on building robust, scalable systems that enhance operational efficiency.

one of my key achievements is building an automated power outage notification system that leverages cloud-based services and containerized microservices with docker. this system has reduced manual reporting delays by 80%, significantly improving response times and operational reliability for the autonomous vehicle testing infrastructure.

i am developing cloud-native apis and automation scripts to integrate with slurm and kubernetes, enabling parallel execution of simulation jobs and increasing throughput by 300%. this integration allows for efficient resource management and job scheduling across distributed computing environments, supporting the complex computational requirements of autonomous vehicle simulation and testing.

my work involves developing and containerizing backend services with docker, deploying them to both cloud and hpc clusters via kubernetes. this approach ensures consistent deployment environments, improved scalability, and enhanced resource utilization across different computing platforms. the containerized architecture enables seamless scaling and management of services as the team's computational needs grow.

working at watonomous is providing me with invaluable experience in cloud computing, containerization, and distributed systems while contributing to cutting-edge autonomous vehicle research. this role is strengthening my skills in cloud infrastructure, devops practices, and high-performance computing while supporting innovative research that advances autonomous vehicle technology.