Amin
Aghaee

Senior Platform Engineer at Mojio May 2022 - Present

Mojio Inc. is a leading company in connected mobility, recognized by Deloitte in 2020 as the 7th fastest-growing tech company in Canada and the #1 fastest-growing in British Columbia for the second consecutive year, with a four-year revenue growth of 3,612%. My responsibilities include:

• Developing a robust cloud-based platform encompassing APIs, Protocol Gateways, and processing terabytes of vehicle telemetry data daily.
• Analyzing extensive datasets to deliver artificial intelligence solutions to end-users. - Utilizing Azure services including Event Hubs, Stream Analytics, CosmosDB, ASP.NET, and Kubernetes for containerized applications.
• Overseeing a significant data migration project from Azure CosmosDB to Couchbase.
• Managing and optimizing various AWS services for enhanced operational efficiency.
• Handling video and live stream management systems, ensuring optimized performance for live streams, replays, and user access.

Machine Learning Engineer at GoldSpot Discoveries June 2020 - May 2022

GoldSpot Discoveries Corporation is transforming the mineral exploration industry by leveraging artificial intelligence for targeting at both regional and local scales. My responsibilities include:

• Developing 3D models of subsurface surveys using stochastic models and Gaussian Process Optimizations to enhance geological exploration.
• Extracting features and clustering geological data utilizing Deep Learning techniques for improved data analysis and interpretation.
• Accelerating processes and optimizing memory usage through the implementation of Lazy Tensors running on GPUs using PyKeops.

Lead Software Engineer at Avestec Technologies August 2018 - June 2020

Avestec Technologies Inc. is a leader in an automated aerial inspection, utilizing advanced aerial robotics for asset inspections. My responsibilities include:

• Developing the full stack of the inspector's platform, Avesoft™, for report generation and control of cameras and sensors on Avestec's SKYRON drone using Django.
• Enabling live sensor and image data transmission through various protocols such as RS232, UART, XBee-900, and IEEE 802.11.
• Developing and deploying a high-speed, live crack and defect detection CNN model for metal surfaces, running on NVIDIA's Jetson Nano mounted on SKYRON.

Machine Learning Engineer Intern at Minverva Intelligence September 2017 - August 2018

Minerva Intelligence Inc (Minerva Intelligence) is an artificial intelligence company focused on knowledge engineering and designs and develops application software. The company is headquartered in Vancouver, British Columbia, Canada.

• Developing and depolying my CNN model for 1D lineament detection from Magnetic and Gravity geological surveys using Keras and Tensorflow

RA/TA at University of British Columbia September 2016 - January 2019

As a graduate master's student in the LCI Lab at UBC, I took courses relevant to my field, worked on my thesis, and presented lectures at the Star-AI reading group. Additionally, I had the opportunity to serve as a teaching assistant for multiple courses. Courses I TAed include:
Computing Platforms for Data Science Probabilistic Graphical Models Advanced Machine Learning Data Science Programming Internet Computing

RA/TA at Sharif University of Technology September 2011 - June 2016

During my bachelor's studies, I engaged in a part-time research project at the Machine Learning Lab within the Computer Engineering department. The project focused on designing an active learning method for clustering, culminating in the publication 'Active Distance-Based Clustering using K-medoids.' Additionally, I had the opportunity to serve as a teaching assistant for multiple courses. Courses I TAed include:
Digital Systems Design Signals and Systems Electrical Circuits Computer Structure and Languages Operating Systems Logic Design Fundamentals of Programming