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Home > DataTalks.Club > How to Become an AI Engineer After a Career Break - Revathy Ramalingam
Podcast: DataTalks.Club
Episode:

How to Become an AI Engineer After a Career Break - Revathy Ramalingam
Category: Technology
Duration: 00:05:25
Publish Date: 2026-03-13 18:00:00
Description:

In this episode Revathy Ramalingam, Senior Software Engineer and AI Engineer at a healthcare startup, shares her inspiring personal journey from over nine years in telecom software architecture to successfully transitioning back into the industry after a seven-year career break. We explore the evolution of the AI engineer role, the practical application of RAG pipelines, and the strategic use of AI tools to rebuild a technical career.


You'll learn about:

- AI Career Mapping: Using LLMs to design an upskilling roadmap.

- Vibe Coding: Leveraging AI tools for rapid prototyping.

- RAG Implementation: Building retrieval systems with LangChain.

- Interview Strategy: Proving technical skills after a career gap.

- Learning in Public: Building a network through community projects.


TIMECODES:

00:00 Why Move to AI? Using ChatGPT to Plan a Career Pivot

11:00 Learning in Public: The Power of Community Support

15:35 Telecom Capstone: Predicting Network Slices with ML

22:15 "Vibe Coding" & Building Prototypes with AI Dev Tools

28:00 The Interview Process: Navigating a 7-Year Career Break

33:45 Practical Interview Tasks: Building a PDF Q&A Assistant

39:40 Career Advice: Clear Plans, AI Mentors, and Hard Work

44:30 Closing Thoughts: Scaling the Learning Ladder


This talk is for developers and career-changers looking for a blueprint to enter the AI engineering space. It is ideal for those interested in RAG, healthcare tech, and practical career resets.



Connect with Revathy

- Github - https://github.com/RevathyRamalingam

- Linkedin - https://www.linkedin.com/in/revathy-ramalingam/



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