Episode 89
How to Survive the AI Wave as an Engineer (IIT Kharagpur Grad POV) - w/ Aayush

Episode Title: Why He Rejected the US for IIT Kharagpur: The AI Career Blueprint Description: Is the "American Dream" still the only path to success for Indian engineers? In a world where the standard advice is to "get a GRE score and leave," Aayush Sugandh did the unthinkable: he stayed.
First moves to steal
- Survive the AI Wave as an Engineer (IIT Kharagpur Grad POV) - w/ Aayush
- "MS in US" Myth: Why staying in India might be the financially smarter move in the current economy.
- Tier-2 & Tier-3 Struggles: How to overcome the "subjective bias" of recruiters and break into top-tier tech roles.
- AI Roadmap: A step-by-step guide to preparing for a career in Machine Learning and AI, even if you are from a Civil or Ocean Engineering background.
- Episode Title: Why He Rejected the US for IIT Kharagpur: The AI Career Blueprint Description: Is the "American Dream" still the only path to success for Indian engineers?
- In a world where the standard advice is to "get a GRE score and leave," Aayush Sugandh did the unthinkable: he stayed.
- Everybody says that you have to leave India to get a master's degree that is actually useful. Aayush had the GRE...
- proximity to my house. I'll be able to build a strong launch pad. Not only that, Aayush gained deep theoretical...
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Transcript-backed moments
A few lines worth stealing before you hand over the full hour.
Everybody says that you have to leave India to get a master's degree that is actually useful. Aayush had the GRE scores. He could have easily gone to the US or any European country. And yet
the US or any European country. And yet he chose to get his masters from IIT Karakpur. Karakpur. >> Let me go ahead in my country and at a very economical rate and proximity to my house. I'll be able to
proximity to my house. I'll be able to build a strong launch pad. Not only that, Aayush gained deep theoretical expertise in the domain of machine learning, got an amazing placement
and also built a blueprint for every young engineer in India to ride the AI wave without leaving. >> Tier 2 and tier three students are very >> Tier 2 and tier three students are very talented students. What they really need
talented students. What they really need is some kind of platform. We talk about the money, compare a masters in India versus one abroad, the true reality of an Mtech degree from an IIT, the
Show notes
Episode Title: Why He Rejected the US for IIT Kharagpur: The AI Career Blueprint
Description:
Is the "American Dream" still the only path to success for Indian engineers?
In a world where the standard advice is to "get a GRE score and leave," Aayush Sugandh did the unthinkable: he stayed. Despite having the profile to go abroad, he chose to double down on India, pursuing his MTech at IIT Kharagpur.
But this isn't just a story about a degree. It’s a masterclass on ROI. Aayush breaks down the math of saving ₹50 Lakhs by studying domestically, the reality of the "IIT tag" for Tier-2 and Tier-3 college graduates, and how to build a career launchpad that survives the coming AI wave.
If you are an engineering student confused between the GATE exam and the GRE, or a professional wondering if you need a Master’s degree to pivot into Artificial Intelligence, this episode is your blueprint. We discuss the subjective bias against non-IITians, the grind of the IIT coursework, and the exact roadmap to becoming an AI/ML expert in 2025.
In this episode, we cover:
The "MS in US" Myth: Why staying in India might be the financially smarter move in the current economy.
Tier-2 & Tier-3 Struggles: How to overcome the "subjective bias" of recruiters and break into top-tier tech roles.
The AI Roadmap: A step-by-step guide to preparing for a career in Machine Learning and AI, even if you are from a Civil or Ocean Engineering background.
IIT Kharagpur Reality Check: The truth about networking, placements, and the intense academic pressure inside India's premier institutes.
Join the conversation:Are you Team MS or Team MTech? Let us know in the comments!
⏱️ TIMESTAMPS:
00:00 - Understanding the Value of a Master's Degree04:15 - The Importance of Networking and Learning06:20 - When a Master's Degree Might Not Be Necessary09:42 - The Trade-offs of Job Switching vs. Further Education12:53 - The Role of Self-Learning in Today's Education15:51 - Choosing Between Domestic (MTech) and International (MS) Education21:24 - Exploring Educational Choices and IIT Kharagpur22:59 - The Hustle of the IIT Kharagpur Experience27:22 - Coursework and Learning Dynamics at IIT Kharagpur29:17 - Room for Improvement in the IIT Curriculum32:05 - Building a Strong Foundation in AI and ML39:08 - Preparing for AI and ML Careers (The Blueprint)42:51 - The Importance of Proactivity and Enthusiasm43:12 - AI's Impact on Rural India46:18 - The Implications of Free AI Services
About the Guest:Aayush Sugandh is an IIT Kharagpur alumnus and an AI practitioner who has navigated the transition from a traditional engineering background to the cutting edge of Artificial Intelligence. He advocates for "Economical Excellence"—finding high-value education without the crippling debt of international student loans.
https://www.linkedin.com/in/aayush-sugandh-785181190/
Connect with us:readysetdopodcast.com
Keywords:IIT Kharagpur, MTech vs MS, Study Abroad, GATE Exam 2025, Artificial Intelligence Career, Machine Learning Roadmap, Engineering in India, Higher Education ROI, Tier 2 College to IIT, Tech Careers, Data Science path.
