Talk
AI Can Write Code. So What Makes a Software Engineer Worth Hiring?
AI can generate code in seconds. But can it solve a customer’s problem, design a reliable system, or make the right engineering trade-offs? This is the new challenge for software engineers—and the companies hiring them.
Drawing on 4+ years of teaching Python, AI and Data Science, I’ll share a practical roadmap for becoming job-ready in an AI-first world: mastering fundamentals, practicing problem-solving, using AI without becoming dependent on it, and building projects that demonstrate real ability.
Using e-commerce examples such as AI shopping assistants, product recommendations and checkout reliability, I’ll show how to move from tutorial projects to business-focused engineering.
I’ll also break down a smarter way to prepare for coding and AI interviews: what to practice, how to explain your thinking, how to validate AI-generated code, and how to present projects that stand out.
Attendees will leave with an actionable learning and interview-preparation framework, while hiring leaders will gain a clearer view of what separates an AI tool user from a capable engineer.
About
4+ years of teaching Python, AI & Data Science. Trained 12,000+ students, helped 2,400+ learners get placed, and built a coding community reaching 25 lakh+ learners. On a mission to make tech careers accessible to everyone.