Episodes
From Business to AI Engineer: Kenny's Unconventional Path
with Kenny from Carnegie Mellon
AI EngineeringCareer TransitionMachine LearningChatGPT
Play From Business to AI Engineer: Kenny's Unconventional Path
Summary
Kenny shares his unconventional journey from business student to AI engineer. Now a student at Carnegie Mellon and a forward deployed engineer at Addy AI, he discusses how he learned to code, discovered his passion for research, and leverages AI tools like ChatGPT and Cursor in his daily work.
Key Ideas
1Research-driven learning is more effective than traditional CS classes
2AI tools like ChatGPT can break down complex problems into manageable steps
3Focus on understanding customer needs, not just technical implementation
4AI has limitations - engineers should know when to rely on it vs. human skills
Chapters
00:00Introduction
02:15From Business to Computer Science
06:30Discovering Research and ML
12:45First Projects: Stock Prediction
18:20Working with ChatGPT
24:10AI-Powered Development Tools
28:35Limitations and Best Practices
30:15Key Takeaways