Uploaded June 2023 | Updated September 2026, 2 days ago
Today, I had the pleasure of interviewing Aleksa GordiΔ (@TheAIEpiphany). Aleksa is an ex-Google DeepMind and Microsoft ML engineer who recently launched Ortus. A startup aimed at helping users make YouTube videos more accessible and interactive. Iβm excited to announce that we have Ortus working on my Youtube channel, and you can try it out for free by quickly installing the Chrome plugin (ortusbuddy.ai ). Aleksa also runs the AI Epiphany YouTube channel, where he shares his learnings from reading papers on the latest generative AI research. In this episode, we learn about his awesome learning framework that he stole from weightlifters, how he landed his job at DeepMind, and why he left that job at the peak of the AI hype to start his own company. I hope you enjoy this conversation, I know I did!
Podcast Sponsors, Affiliates, and Partners:
- Pathrise - pathrise.com/KenJee | Career mentorship for job applicants (Free till you land a job)
- Taro - jointaro.com/r/kenj308 (20% discount) | Career mentorship if you already have a job
- 365 Data Science (57% discount) - 365datascience.pxf.io/P0jbBY | Learn data science today
- Interview Query (10% discount) - interviewquery.com/?ref=kenjee | Interview prep questions
Aleksa's Links:
LinkedIn - linkedin.com/in/aleksagordic
Twitter - twitter.com/gordic_aleksa
YouTube - youtube.com/@TheAIEpiphany
Personal Website - gordicaleksa.com
Listen to Ken's Nearest Neighbors on all the main podcast platforms!
On Apple Podcasts: podcasts.apple.com/us/podcast/kens-nearest-neighbors/id1538368692 (Please rate if you enjoy it!)
On Spotify: open.spotify.com/show/7fJsuxiZl4TS1hqPUmDFbl
On Google: podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5idXp6c3Byb3V0LmNvbS8xNDMwMDQxLnJzcw?sa=X&ved=0CAMQ4aUDahcKEwjQ2bGBhfbsAhUAAAAAHQAAAAAQAQ
MORE DATA SCIENCE CONTENT HERE:
π€My Twitter - twitter.com/KenJee_DS
π LinkedIn - linkedin.com/in/kenjee
π Kaggle - kaggle.com/kenjee
π Medium Articles - medium.com/@kenneth.b.jee
π» Github - github.com/PlayingNumbers
π My Sports Blog - playingnumbers.com
π£οΈ 66DaysOfData Discord Server - discord.com/invite/4p37sy5muZ
Today, I had the pleasure of interviewing Aleksa GordiΔ (@TheAIEpiphany). Aleksa is an ex-Google DeepMind and Microsoft ML engineer who recently launched Ortus. A startup aimed at helping users make YouTube videos more accessible and interactive. Iβm excited to announce that we have Ortus working on my Youtube channel, and you can try it out for free by quickly installing the Chrome plugin (ortusbuddy.ai ). Aleksa also runs the AI Epiphany YouTube channel, where he shares his learnings from reading papers on the latest generative AI research. In this episode, we learn about his awesome learning framework that he stole from weightlifters, how he landed his job at DeepMind, and why he left that job at the peak of the AI hype to start his own company. I hope you enjoy this conversation, I know I did!
Podcast Sponsors, Affiliates, and Partners:
- Pathrise - pathrise.com/KenJee | Career mentorship for job applicants (Free till you land a job)
- Taro - jointaro.com/r/kenj308 (20% discount) | Career mentorship if you already have a job
- 365 Data Science (57% discount) - 365datascience.pxf.io/P0jbBY | Learn data science today
- Interview Query (10% discount) - interviewquery.com/?ref=kenjee | Interview prep questions
Aleksa's Links:
LinkedIn - linkedin.com/in/aleksagordic
Twitter - twitter.com/gordic_aleksa
YouTube - youtube.com/@TheAIEpiphany
Personal Website - gordicaleksa.com
Listen to Ken's Nearest Neighbors on all the main podcast platforms!
On Apple Podcasts: podcasts.apple.com/us/podcast/kens-nearest-neighbors/id1538368692 (Please rate if you enjoy it!)
On Spotify: open.spotify.com/show/7fJsuxiZl4TS1hqPUmDFbl
On Google: podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5idXp6c3Byb3V0LmNvbS8xNDMwMDQxLnJzcw?sa=X&ved=0CAMQ4aUDahcKEwjQ2bGBhfbsAhUAAAAAHQAAAAAQAQ
MORE DATA SCIENCE CONTENT HERE:
π€My Twitter - twitter.com/KenJee_DS
π LinkedIn - linkedin.com/in/kenjee
π Kaggle - kaggle.com/kenjee
π Medium Articles - medium.com/@kenneth.b.jee
π» Github - github.com/PlayingNumbers
π My Sports Blog - playingnumbers.com
π£οΈ 66DaysOfData Discord Server - discord.com/invite/4p37sy5muZ
