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Sanjay Nagaraj

👤 Person
204 total appearances

Appearances Over Time

Podcast Appearances

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

But beyond that, we are equal contributors compared to anybody coming in, whether they have minus two years of experience or 25 years of experience in the industry itself solving problems. It's their company that they are building now going forward, right? That philosophy actually has served us well, because when I say minus two, we had some early engineers who were in their

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Second, third year of undergrad, for example, they came in as an intern working with us for three months, but they built some of the core pieces of functionality three years ago, which is actually the reason why the company exists today in terms of selling the product itself.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Second, third year of undergrad, for example, they came in as an intern working with us for three months, but they built some of the core pieces of functionality three years ago, which is actually the reason why the company exists today in terms of selling the product itself.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Second, third year of undergrad, for example, they came in as an intern working with us for three months, but they built some of the core pieces of functionality three years ago, which is actually the reason why the company exists today in terms of selling the product itself.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Some of the technology that we used, which was EBPF-based data collection and everything else, came from some of the contribution from some of these interns, as an example, who came in. They're now part of the team and as full-time employees. But why I'm saying that is it means that the philosophy helped us to bring in the right set of people.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Some of the technology that we used, which was EBPF-based data collection and everything else, came from some of the contribution from some of these interns, as an example, who came in. They're now part of the team and as full-time employees. But why I'm saying that is it means that the philosophy helped us to bring in the right set of people.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Some of the technology that we used, which was EBPF-based data collection and everything else, came from some of the contribution from some of these interns, as an example, who came in. They're now part of the team and as full-time employees. But why I'm saying that is it means that the philosophy helped us to bring in the right set of people.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Now, what are we looking for is someone who has that mindset to go build that company. with us because it's a journey. Startups are always about ups and downs. If you're just purely coming in to say, I'm only going to have those highs or I'm only going to be learning all the time, then you're not going to succeed as part of that startup building, right?

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Now, what are we looking for is someone who has that mindset to go build that company. with us because it's a journey. Startups are always about ups and downs. If you're just purely coming in to say, I'm only going to have those highs or I'm only going to be learning all the time, then you're not going to succeed as part of that startup building, right?

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Now, what are we looking for is someone who has that mindset to go build that company. with us because it's a journey. Startups are always about ups and downs. If you're just purely coming in to say, I'm only going to have those highs or I'm only going to be learning all the time, then you're not going to succeed as part of that startup building, right?

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Someone should be with that mindset that what is that they want to build as a long-term company? What is that final customer success that they want to see? There are two things that mainly we look for anybody coming in. One is the grit, as in the passion that they have to go and build and the perseverance that they have to actually go make it happen.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Someone should be with that mindset that what is that they want to build as a long-term company? What is that final customer success that they want to see? There are two things that mainly we look for anybody coming in. One is the grit, as in the passion that they have to go and build and the perseverance that they have to actually go make it happen.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Someone should be with that mindset that what is that they want to build as a long-term company? What is that final customer success that they want to see? There are two things that mainly we look for anybody coming in. One is the grit, as in the passion that they have to go and build and the perseverance that they have to actually go make it happen.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Both of those things are very critical as part of the grit itself. The second component that we really look for and they grow into it in some cases as well is the customer obsession that they bring to the table. That means that they are serving the customer at the end of the day.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Both of those things are very critical as part of the grit itself. The second component that we really look for and they grow into it in some cases as well is the customer obsession that they bring to the table. That means that they are serving the customer at the end of the day.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

Both of those things are very critical as part of the grit itself. The second component that we really look for and they grow into it in some cases as well is the customer obsession that they bring to the table. That means that they are serving the customer at the end of the day.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

We built the platform for scale. One of the values that we have is dream big. That means that for us, from day one, we basically were looking at solving a big problem for the 10 years as a journey that we go. The problem was understanding the APIs as a platform itself and solving a bunch of security and many other use cases over a period of time on top of the data that we have.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

We built the platform for scale. One of the values that we have is dream big. That means that for us, from day one, we basically were looking at solving a big problem for the 10 years as a journey that we go. The problem was understanding the APIs as a platform itself and solving a bunch of security and many other use cases over a period of time on top of the data that we have.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

We built the platform for scale. One of the values that we have is dream big. That means that for us, from day one, we basically were looking at solving a big problem for the 10 years as a journey that we go. The problem was understanding the APIs as a platform itself and solving a bunch of security and many other use cases over a period of time on top of the data that we have.

Code Story: Insights from Startup Tech Leaders
S9 E26: Sanjay Nagaraj, Traceable AI

So we built the platform for scale. but what we did not anticipate was the complexity of customer environments the complexity of some of the large financials that we run where we process close to 400 billion calls per month yes the platform was able to scale but not the complexity of how we collect the data and the use cases that we need to make sure that we are solving for the customer