What happens when you take someone who grew up in the Silicon Valley of India, give them an engineering degree, put them in the room as the primary architect of the London Olympics streaming platform at 22 years old, and then drop them into the world of enterprise cloud strategy at Amazon Web Services? You get one of the most insightful conversations I’ve had on this podcast.
I sat down with Shweta Keshavanarayana, a Customer Solutions Manager at AWS, to talk about everything from growing up in Bangalore to breaking down AI for people who have never touched a line of code. We covered generative AI, cloud adoption, AI agents, being the only woman in the room, and why self-advocacy might be the most underrated skill in business.
Growing Up in the Silicon Valley of India
Shweta was born and raised in Bangalore, India, which is widely known as the Silicon Valley of India. She lived there for 24 years before making the move to the Bay Area in 2014. Growing up, she had two working parents who operated as a team. In a culture that can be very patriarchal, her mom and dad showed her and her brother that both parents contribute equally. That foundation shaped who she became professionally.
When it came time to choose a career path, the options were pretty straightforward: engineering or medicine. Classic Asian parent move. She actually wanted to be a lawyer but didn’t have anyone in her circle to guide her through that path. So she sat down with her uncle, who is a doctor, and asked for his honest take. His answer was basically: do you want to study for 40 years straight, or do you want to start making money in four? For a 17-year-old who had watched her mom build financial independence through her career, the answer was easy. Engineering it was.
From Architecting the Olympics to Leading at AWS
One of the things that blew me away in our conversation is that Shweta was the primary architect for the 2012 London Olympics streaming platform. That was one of the first large-scale streaming events with a mobile presence, and she was 22 years old. She went to the technical operation center to support the launch and was the only woman on the floor.
That experience taught her something important. She never wanted anyone to dismiss her because she was a woman, so she made it her mission to always show up prepared. Not just for herself, but so that she wouldn’t become an example for others to distrust the women who came after her. That mindset has carried her through her entire career.
Today at AWS, Shweta works as a force multiplier between internal teams and some of Amazon’s largest strategic customers. She helps enterprises figure out how to migrate to the cloud, modernize their operations, and build AI strategies that actually solve real problems for their end users. Think of it as being the bridge between the business side and the technical side, translating requirements in both directions depending on who she’s talking to.
Garbage In, Garbage Out: Making AI Work for You
One of my favorite moments in the conversation was when Shweta dropped the phrase “garbage in, garbage out” when talking about generative AI. It’s simple, but it’s the truth. If you don’t ask AI the right questions, you’re not going to get the right answers. The quality of what you put in directly impacts what you get back.
She made a great point about how her own prompting has evolved. Two years ago, she would type something like “help me write this email better.” Now she gives context: who she is, what her title is, who is reading the message, and how quickly she needs to grab their attention. That extra context completely changes the output.
I’ve experienced the same thing. Just today, instead of telling Claude to improve my bill spreadsheet, I handed it over and asked what it thought I should do differently. The result was a completely redesigned workbook with a dashboard and multiple tabs that made me actually excited to pay my bills. Which is a sentence I never thought I’d say.
The takeaway for anyone getting started with AI is this: start small. Use it for the things you already do every day. Shweta’s 8-year-old son uses voice assistants to learn how traffic signals work and to figure out how to time the drive to his sports camp without hitting a red light. If an 8-year-old can find practical uses for AI, so can you.
Why Businesses Resist the Cloud (and How to Get Past It)
Shweta shared something that I think a lot of people outside of tech don’t realize. The biggest obstacle to cloud adoption isn’t the technology itself. It’s the cultural change that comes with it. People who have been doing their job the same way for 20 or 30 years naturally resist something new. They worry about job security, data security, compliance, and whether they can even learn the new systems.
Her advice for anyone trying to convince a business to move to the cloud or adopt AI is to meet people where they are. Don’t dismiss their concerns. Don’t throw technical jargon at a business person. Instead, explain things simply. She uses the “explain it like you would to a 5-year-old” approach, and it works. You can always go deeper later, but if the first thing out of your mouth is too complicated, you’ve lost them.
That resonated with me because I do the same thing in my day job. I work in the Medicare insurance space, and the people I’m communicating with on both ends of the conversation speak completely different languages. Learning how to translate between those two worlds is a skill that doesn’t get enough credit.
AI Agents: The Next Wave
We spent a good chunk of the conversation talking about AI agents, which I think is going to be the biggest story in tech over the next six months. I’ve been building my own agent setup using Open Claw connected to ChatGPT through Discord, and the moment it came to life and started talking back to me was one of the coolest experiences I’ve had with technology.
Shweta and her husband are working toward building personal agents that integrate their work and home lives into a single view. As two working parents who travel constantly, they want something that pulls everything together: meeting prep, reminders, schedules, all of it. She described it as building a “single pane of glass” for her own life, which is the same thing she builds for her enterprise customers at AWS.
One important thing we touched on is security. With agents scraping the internet and interacting with websites, there’s a real risk of prompt injection attacks. People are embedding malicious prompts into website code that can hijack your agent and steal information like API keys. If you’re experimenting with AI agents, make sure you’re running them on a device that doesn’t have your personal information on it.
Being a Firecracker, Not a Fly on the Wall
One of the lines that stuck with me from this episode was when Shweta said, “I cannot be a fly on the wall. I’m a firecracker.” She’s not the type to sit quietly in a meeting if she has something to contribute. And she’s right. If you’re in a room and you don’t share your opinion, you might let something happen that your input could have prevented.
She told a story about a time when a senior leader sent out a congratulatory email that acknowledged everyone on a project except her. Instead of letting it slide, she confronted the VP directly and asked why. That conversation changed the way that leader wrote every appreciation email going forward. He actually thanked her years later for holding him accountable.
That ties into one of Amazon’s leadership principles that she brought up: disagree and commit. The idea is that healthy disagreement is encouraged. You bring your points, you have the discussion, and even if you ultimately disagree with the decision, you commit to it because you see the bigger picture. Shweta applies the same principle at home with her husband. They disagree on plenty of things, but the ultimate goals of being safe, happy, and in love always win out.
Why Self-Advocacy Is a Muscle You Have to Build
Shweta is a facilitator for a workshop called “I Am Remarkable,” and she’s helped over 700 to 800 people through it. The core idea is that hard work is the foundation of success, but if you want the opportunities you deserve, you have to advocate for yourself. You have to be loud and proud about why you deserve them.
She’s seen firsthand how the workshop changes people’s lives. Attendees have told her that six months after taking the workshop, they were able to advocate for a promotion or pursue a role they would have previously doubted themselves for. That kind of impact is real and lasting.
For Shweta, the work around diversity, equity, and inclusion isn’t just professional. It’s personal. She talked about how gender modesty norms and cultural expectations can damage confidence from a young age, especially for women. Her message is clear: take care of yourself first. She used the airplane oxygen mask analogy. You have to put your own mask on before you can help anyone else. That applies to fitness, mental health, career growth, all of it.
What Does Life Look Like in 2030?
I ended the conversation by asking Shweta what she thinks everyday life will look like by 2030 with AI fully integrated into everything. Her answer surprised me a little because it wasn’t about technology at all. She said she hopes that with all the time AI saves us through productivity gains, people will use that time to give back. Volunteering, helping kids learn to use technology responsibly, working at soup kitchens, making the world a better place.
I’ll admit, my first thought was that I’d probably sleep more. But she’s right. If AI gives us 20 extra hours a week, we have a choice about what we do with that time. And her vision of using it to help others is about as good as it gets.
Connect with Shweta
If you want to connect with Shweta or learn more about her “I Am Remarkable” workshops, find her on LinkedIn at https://www.linkedin.com/in/shwetaknarayan/. She said to wake her up at 2 AM and she’ll run the workshop because she’s that passionate about it. I might actually take her up on that for my own company.
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