From PhD to Big Tech: What Apple and Intel Taught Me About AI Careers and Growth

Описание: What does it really take to grow in AI, data science, and big tech today?

In this episode, we sit down with a former engineer from Apple and Intel, now a PhD-trained expert in Electrical and Communications Engineering and an active leader in the Women in Data community.

This is not the polished version of a tech career. We talk about the real journey. The doubts. The pivots. And the skills that actually move the needle.

💡 In this conversation, you’ll learn:

• How she found her path into engineering before the PhD
• The moment she finally felt she belonged in tech
• Why she chose a PhD and how it reshaped her thinking
• What working at Apple and Intel teaches you that courses don’t
• Which skills transfer best into AI and data science
• What separates fast-growing engineers from those who stall
• Practical advice for African developers building global careers
• Why community work like Women in Data matters for confidence and growth
• How to communicate complex technical ideas clearly
• What AI engineers should be paying more attention to right now

Whether you're an aspiring AI engineer, experienced developer, data scientist, or tech leader, this episode is packed with grounded, practical insight.

📌 Subscribe for more deep conversations with global tech leaders.
👍 Like the video if you want more AI and career breakdowns.
🔔 Turn on notifications so you don’t miss upcoming episodes.

#AIcareers
#MachineLearning
#DataScience
#WomenInTech
#BigTech
#TechCareers
#AIEngineer
#Developers
#WomenInData
#GlobalTech