Prateek Jain is a BCom graduate turned Data Engineering Architect at S&P Global, and in this podcast we'll be asking him How to Break Into Data Engineering Without a Computer Science Degree.This will not be your typical career advice session that we can find in thousands of videos across social media. This won't have any feel-good platitudes. No "you can do anything" motivation.Just the truth about stuff that is important, by someone who has done it himself.We'll be discussing things like:❓ What it ACTUALLY takes to break into computer science if you don't have a degree?❓ Is there still educational gatekeeping in tech hiring?❓ Are we training people for jobs that won't exist in 5 years?❓ Is the "anyone can build now" narrative creating technical debt chaos?Perfect For:💻 Data Engineers looking to advance their careers and technical skills🦸 Engineering Managers seeking insights on building high-performance data teams🚀 Startup Founders wanting to understand how data architecture can drive business growth📖 Non computer-science students interested in breaking into data engineeringDon't miss this opportunity to learn from someone who's passionate about sharing knowledge and building the future of data-driven businesses on ChaiNet: where we talk to techies before the machines take over!

What if I told you that the most successful entrepreneurs aren't chasing the next shiny AI App, but instead building what they call "boring businesses". The real money is being made by those who perfect the unsexy fundamentals.In this ChaiNet episode we explore the counterintuitive strategies that actually build lasting wealth with Saurabh Gupta, who embodies this philosophy perfectly.

🎙️ Our next guest on ChaiNet is Tanya Svitsunova, Chief Operating Officer at Buddyhub

Tanya has a PhD in Theology, ran museums and media companies, and now leads a global habit-formation platform from the UAE. Her unconventional background reveals blind spots most tech founders never see.

We'll talk about the $38B Habit App Market, that is projected to reach $80B by 2033. We'll also talk about some grave misconceptions in the industry.

Things like

✅ If the popular "21-day habit" rule works or not

✅ Why gamification fails

✅ What actually drives behavior change

✅ How to build globally from day one

✅ How to use AI agents for personal development 🎯

If you're interested in behavioral psychology + technology, you're an indie hacker building AI Apps, you're a founder in the wellness or productivity space, or just looking to build a good habit - this podcast is a must play!

Ankit Sood, member of technical staff 3, gives us an inside scoop on how AI is completely reshaping distributed systems, and why this creates massive opportunities for engineers who understand what's really happening.While everyone's focused on prompt engineering and using AI tools, the real money and career security lies in building the infrastructure that makes AI actually work.Someone needs to design the distributed systems that can handle GPU clusters, manage model inference at scale, and coordinate AI agents across global networks. That's not something you can ChatGPT your way into.

While most engineers are panicking about AI replacing them, Aniket took a completely different approach over his 8 year journey from Amazon intern to staff engineer.

In this episode, we will dive deep into:

💻 Aniket's career strategy and journey from an intern to a staff software engineer

🧑‍💻 Why understanding business context matters more than just coding skills

🌪️ His take on the AI revolution hitting different sectors

📕 A practical playbook for engineers who want to build similarly resilient careers

This podcast is great for:

🤘 Founders needing to understand technical talent strategies

🚀 Mid-level engineers looking to accelerate their career trajectory

🧠 Tech leads wondering how to stay relevant in the AI era

🏗️ Founders & managers building future-proof teams

In this episode we break down what it means to test agents before they go rogue, and how Parth is building a reliability layer for AI workflows at Styx.

If you’re building with LLMs, scaling a tech startup or both, this one’s for you.

"How do I future-proof my career?" was a question I kept hearing from other engineers as AI changed our industry.

"What skills should I focus on?" "How do others handle this quickly evolving terrain?"

I therefore made the decision to strike up discussions with engineers who are creating distinctive, robust career pathways. 🚀

I'm happy to welcome Agam Mishra, Senior Software Engineer at GlobalLogic (Hitachi Group), in our first episode.

Hosted by Rachit Magon

Chirag Bansal is AVP of Product Engineering at Sprinklr, where he's spent almost a decade growing from Product Engineer to executive level.

He leads teams building AI-powered customer experience platforms that serve global brands across multiple industries.

In this episode of ChaiNet, Rachit Magon dives deep into the world of unified customer experience with Chirag Bansal. Discover how AI is revolutionizing customer interactions across 30+ channels and what it takes to build systems that handle billions of conversations daily.

🎯 What You'll Learn:

1. Building AI systems that detect brand crises in real-time

2. The technical challenges of unifying 30+ communication channels

3. Leadership lessons from growing within one company for 9 years

4. Architecture decisions for enterprise-scale customer experience platforms

5. The future of AI in customer service and marketing