Cannon Farr

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Studied at University of Southern California

Works at Leland

Successful clients at

Available tomorrow at 6:30 PM UTC

Protected by the Leland Experience Guarantee

Available tomorrow at 6:30 PM UTC

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Cannon's Offerings

Custom hourly · $50/hr

Cannon also coaches for Product Management, AI & ML Engineering, Executive Coaching, and Management Consulting. View all.

Cannon’s AI For Product Development Qualifications

Experience level: Associate

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Cannon also coaches for Product Management, AI & ML Engineering, Executive Coaching, and Management Consulting. View all.

About Cannon

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Why do I coach?

I coach because I love coaching. love it

Work Experience

Software Engineer

Leland

February 2026 - Present

Interviewer

Built a super cool product that you're using right now

Software Development Engineer Intern

Amazon

June 2024 - February 2025

As a Software Development Engineer Intern at Amazon, I quickly integrated with the complex and sophisticated nature of Amazon's software development lifecycle.On the Alexa Certification Team, I was responsible for integrating AI into the process for 3rd party products to work seamlessly with the Alexa platform. Key Achievements: - Contributed to Alexa certification automation using Java. - Interacted with LLMs (specifically Antrhopic Claude) to perform validation on Alexa responses.

Software Engineer

Nerd United

June 2022 - June 2024

At Nerd United, I was responsible for contributing code for an API web application in .NET core.Our application was heavily specialized in Web3 and I integrated many blockchain technologies into the app. Key Achievements: - Became a subject matter expert in NFTs and helped lead efforts in building an NFT marketplace feature of our application - Built and improved CI/CD pipelines and optimized infrastructure using Github Actions, Docker, and Kubernetes. ASP.NET, Blockchain and +3 skills

Software Developer

Brigham Young University

October 2021 - June 2022

As a software developer at Brigham Young University, I worked in the Record Linking Lab in the economics department.This labs mission was to optimize and automate family history work by using data processing and computer vision. Accomplishments: - Built an improved version of a "map app" that allowed users to search and view their family history records in locations across the globe to ease linking of these records to FamilySearch. - Utilized FamilySearch APIs to run automation scripts that updated new information on family history records. JavaScript and Containerization

Cannon was also given offers to work at