- Resume
- laraib_resume_dec2026.pdf
- Portals
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Vancouver, British Columbia, Canada
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Toronto, Ontario, Canada
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- Categories
- Security (cybersecurity and IT security) Machine learning Artificial intelligence Data science
Skills
Achievements
Latest feedback
Recent projects
AWS Technical Certification and Experience
We would like students to help us with creating content that is aligned with our vision, mission, and sector. We will ensure the student has a clear understanding of what these elements are for our organization. Autoverse is a cloud consulting firm with a specialty in Data and Analytics. The following is required for this project. Passing an AWS Certification Exam at the Associate/Professional or Specialty level Finish and pass an AWS Business Course. This is a very simple course offered to partners and generally does not take more than a couple of hours. Finish and pass an AWS Technical Course. This is also a very simple course offered to partners and generally does not take more than a couple of hours to finish.
Artificial Intelligence & Machine Learning Application
Our company is a platform for creating data products enabled by AI, and we want to leverage the latest technology to gain market advantage. Applications of this technology to build data products include recommendation algorithms, predictive analytics like lifetime values, fraud detections, cyber security analytics and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research for specific problem domains (Will provide at the beginning of project) Analyzing the dataset (identify data requirements) Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem. (Key is to build a "deployable" solution