
Cannon Farr
Learn AI from an AI-first company employee
Studied at Brigham Young University
Works at Leland
Available Wednesday at 3:00 PM UTC
Questions? Start chatting with this coach before you get started.
Cannon's Coaching Offerings
Custom hourly · $69/hr
Get help with AI Fundamentals, Technical Skills, and .
Cannon also coaches for Software Engineering and Blockchain & Crypto. View all.
Cannon’s AI & ML Engineering Qualifications
Experience level: Associate
Welcome to my profile! With a strong foundation in Computer Science from Brigham Young University and hands-on experience at top tech companies like Amazon and Leland, I am well-equipped to guide you in your AI/ML engineering journey. At Amazon, I integrated AI into the Alexa Certification process, gaining valuable insights into large-scale AI applications. My work at Nerd United further honed my skills in blockchain technologies and API development, making me a versatile engineer. Whether you're looking to break into AI/ML roles or enhance your technical skills, I'm here to help you succeed. Let's connect and create a tailored plan to achieve your career goals!
Cannon can help with:
AI Fundamentals
Technical Skills
AI Code Review
AI System Design
Cannon also coaches for Software Engineering and Blockchain & Crypto. View all.
About Cannon
My passion for computers can be traced back to my childhood playing one of my favorite video games: RollerCoaster Tycoon. That soon evolved into an interest in learning about software and computer programming until I finally started doing it myself in elementary school. Today that love continues to grow as I work as a full-stack software engineer at Leland, a platform built around a mission I find genuinely exciting: helping people access the expertise that can change their lives. A big part of how I contribute to that mission is through AI — I've worked it into basically every stage of development, and there's something that feels really fitting about using a technology that democratizes knowledge to help build a product that does the same thing for people. Before joining Leland, I graduated from BYU and completed the Marriott School of Business's Sandbox Program, where I worked with a team to try to build a software company from the ground up. It's one of those experiences that teaches you things no classroom really can. When I'm not heads down on a project, you can find me outside moving at something close to dangerous speeds. Unlike most people, I prefer to admire nature when I'm rocketing through Provo Canyon on my Ducati or bombing the black diamonds at Utah's ski resorts.
Work Experience

Software Engineer
Leland
January 2025 - Present
Interviewer
I'm honored to be a member of the team that builds the platform that you are using right now.

Software Development Engineer Intern
Amazon
June 2024 - December 2024
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
Education

Brigham Young University
Computer Science
2021 - 2024