Culture & People
Shaping Ideas, Building Futures: A
Summer at ArisInfra
Shaping Ideas, Building Futures: A Summer at ArisInfra
Shaping Ideas, Building Futures: A Summer at ArisInfra
This summer at ArisInfra, interns went beyond learning—they drove real projects in AI, automation, and product design, leaving a lasting impact on both themselves and the company.
This summer at ArisInfra, interns went beyond learning—they drove real projects in AI, automation, and product design, leaving a lasting impact on both themselves and the company.
This summer at ArisInfra, interns went beyond learning—they drove real projects in AI, automation, and product design, leaving a lasting impact on both themselves and the company.
Revati Gajjar
Sep 10, 2025
Walk into ArisInfra on a summer afternoon and you would feel it immediately: the hum of energy that comes when people are building something new. Desks were cluttered with laptops and notebooks, whiteboards filled with sketches and scribbles, and conversations shifted easily between design trade-offs and product roadmaps. It was not the atmosphere of a company running business as usual. It was the atmosphere of a company in creation mode, and right in the middle of it all were the interns.
Every summer brings new faces, but this one stood out. The projects were not hypothetical “practice runs” meant only for learning. They were real challenges that touched the core of ArisInfra’s work: intelligent automation, anomaly detection, product design, computer vision, and experimentation with large language models. The interns were not contributing on the sidelines. They were woven directly into the pulse of the company.
Walk into ArisInfra on a summer afternoon and you would feel it immediately: the hum of energy that comes when people are building something new. Desks were cluttered with laptops and notebooks, whiteboards filled with sketches and scribbles, and conversations shifted easily between design trade-offs and product roadmaps. It was not the atmosphere of a company running business as usual. It was the atmosphere of a company in creation mode, and right in the middle of it all were the interns.
Every summer brings new faces, but this one stood out. The projects were not hypothetical “practice runs” meant only for learning. They were real challenges that touched the core of ArisInfra’s work: intelligent automation, anomaly detection, product design, computer vision, and experimentation with large language models. The interns were not contributing on the sidelines. They were woven directly into the pulse of the company.
Walk into ArisInfra on a summer afternoon and you would feel it immediately: the hum of energy that comes when people are building something new. Desks were cluttered with laptops and notebooks, whiteboards filled with sketches and scribbles, and conversations shifted easily between design trade-offs and product roadmaps. It was not the atmosphere of a company running business as usual. It was the atmosphere of a company in creation mode, and right in the middle of it all were the interns.
Every summer brings new faces, but this one stood out. The projects were not hypothetical “practice runs” meant only for learning. They were real challenges that touched the core of ArisInfra’s work: intelligent automation, anomaly detection, product design, computer vision, and experimentation with large language models. The interns were not contributing on the sidelines. They were woven directly into the pulse of the company.
A Summer of Shared Ownership
One of the most striking features of this program was how quickly the interns became part of the team. From the very first week, they were treated as contributors with ideas worth pursuing. That sense of ownership created an environment where collaboration was natural. Instead of being grouped into isolated tracks, interns were placed in squads that blended engineers, product managers, and mentors.
In practice, this meant they were involved in sprint planning, customer-problem discussions, and code reviews. They were not being trained in the abstract. They were learning through direct participation.
One of the most striking features of this program was how quickly the interns became part of the team. From the very first week, they were treated as contributors with ideas worth pursuing. That sense of ownership created an environment where collaboration was natural. Instead of being grouped into isolated tracks, interns were placed in squads that blended engineers, product managers, and mentors.
In practice, this meant they were involved in sprint planning, customer-problem discussions, and code reviews. They were not being trained in the abstract. They were learning through direct participation.
One of the most striking features of this program was how quickly the interns became part of the team. From the very first week, they were treated as contributors with ideas worth pursuing. That sense of ownership created an environment where collaboration was natural. Instead of being grouped into isolated tracks, interns were placed in squads that blended engineers, product managers, and mentors.
In practice, this meant they were involved in sprint planning, customer-problem discussions, and code reviews. They were not being trained in the abstract. They were learning through direct participation.
“This project helped me strengthen my skills in querying, validation, and teamwork, and it was rewarding to see my work contribute directly to business reporting efforts,”
Mahadev Mokkapatti (BMSCE, Bangalore),
who worked on financial data consistency.
“This project helped me strengthen my skills in querying, validation, and teamwork, and it was rewarding to see my work contribute directly to business reporting efforts,”
Mahadev Mokkapatti (BMSCE, Bangalore),
who worked on financial data consistency.
Where Engineering Meets Product
The range of projects this year reflected something fundamental about ArisInfra’s culture: technology and product are not separate silos. They are two sides of the same problem-solving process. Some teams focused on making systems more precise and scalable, while others explored how those systems could be shaped into intuitive user experiences. The most exciting breakthroughs often came not from technical wizardry alone but from the combination of product insight and engineering execution.
The range of projects this year reflected something fundamental about ArisInfra’s culture: technology and product are not separate silos. They are two sides of the same problem-solving process. Some teams focused on making systems more precise and scalable, while others explored how those systems could be shaped into intuitive user experiences. The most exciting breakthroughs often came not from technical wizardry alone but from the combination of product insight and engineering execution.
The range of projects this year reflected something fundamental about ArisInfra’s culture: technology and product are not separate silos. They are two sides of the same problem-solving process. Some teams focused on making systems more precise and scalable, while others explored how those systems could be shaped into intuitive user experiences. The most exciting breakthroughs often came not from technical wizardry alone but from the combination of product insight and engineering execution.
“I was able to take real business problems and turn them into workable data processes that balanced accuracy with efficiency,”
Raghav Mehra (Ashoka University, Haryana),
who focused on business metrics and user flow analysis.
“I was able to take real business problems and turn them into workable data processes that balanced accuracy with efficiency,”
Raghav Mehra (Ashoka University, Haryana),
who focused on business metrics and user flow analysis.
“I was able to take real business problems and turn them into workable data processes that balanced accuracy with efficiency,”
Raghav Mehra (Ashoka University, Haryana),
who focused on business metrics and user flow analysis.
The lesson was clear. Building meaningful solutions requires precision in code as well as empathy for the end user.
The lesson was clear. Building meaningful solutions requires precision in code as well as empathy for the end user.
The lesson was clear. Building meaningful solutions requires precision in code as well as empathy for the end user.
Learning in the Flow of Work
For many interns, the most powerful shift was not in technical depth but in the way learning happened. There were no rigid lecture schedules or formal training modules. Growth emerged from the daily rhythm of work. Debugging sessions became lessons on system design. Product meetings turned into discussions about prioritization. Even casual lunches often drifted into conversations about scaling architectures or user psychology. The atmosphere made it easy to ask questions and even easier to experiment with new approaches.
For many interns, the most powerful shift was not in technical depth but in the way learning happened. There were no rigid lecture schedules or formal training modules. Growth emerged from the daily rhythm of work. Debugging sessions became lessons on system design. Product meetings turned into discussions about prioritization. Even casual lunches often drifted into conversations about scaling architectures or user psychology. The atmosphere made it easy to ask questions and even easier to experiment with new approaches.
For many interns, the most powerful shift was not in technical depth but in the way learning happened. There were no rigid lecture schedules or formal training modules. Growth emerged from the daily rhythm of work. Debugging sessions became lessons on system design. Product meetings turned into discussions about prioritization. Even casual lunches often drifted into conversations about scaling architectures or user psychology. The atmosphere made it easy to ask questions and even easier to experiment with new approaches.
“The leaders generously shared their experience, which helped us tackle our challenges and taught us how to approach big, complex problems with clear strategies,”
Preyashi Maheshwari (IIT-Guwahati)
who worked on price analysis and anomaly detection.
That generosity, combined with high expectations, made growth a natural part of the experience.
That generosity, combined with high expectations, made growth a natural part of the experience.
That generosity, combined with high expectations, made growth a natural part of the experience.
Projects That Mattered
What made the work meaningful was not only its complexity but also its variety. Some interns pushed into the frontier of computer vision, exploring how machines can interpret documents and visual data. Others worked on anomaly detection, designing ways to identify outliers and patterns in large datasets. Teams experimented with automation pipelines that streamline repetitive tasks and free up time for higher-value work. And several interns dove into retrieval-augmented generation (RAG) systems and large language models, tackling the challenge of blending structured and unstructured data into usable insights.
These were not toy exercises. Each project represented a piece of ArisInfra’s bigger mission: making technology smarter, more reliable, and more useful. For the interns, it was a crash course in what it feels like to build with real stakes. For the company, it was a reminder of how fresh thinking can reinvigorate even the hardest problems.
What made the work meaningful was not only its complexity but also its variety. Some interns pushed into the frontier of computer vision, exploring how machines can interpret documents and visual data. Others worked on anomaly detection, designing ways to identify outliers and patterns in large datasets. Teams experimented with automation pipelines that streamline repetitive tasks and free up time for higher-value work. And several interns dove into retrieval-augmented generation (RAG) systems and large language models, tackling the challenge of blending structured and unstructured data into usable insights. These were not toy exercises. Each project represented a piece of ArisInfra’s bigger mission: making technology smarter, more reliable, and more useful. For the interns, it was a crash course in what it feels like to build with real stakes. For the company, it was a reminder of how fresh thinking can reinvigorate even the hardest problems.
What made the work meaningful was not only its complexity but also its variety. Some interns pushed into the frontier of computer vision, exploring how machines can interpret documents and visual data. Others worked on anomaly detection, designing ways to identify outliers and patterns in large datasets. Teams experimented with automation pipelines that streamline repetitive tasks and free up time for higher-value work. And several interns dove into retrieval-augmented generation (RAG) systems and large language models, tackling the challenge of blending structured and unstructured data into usable insights. These were not toy exercises. Each project represented a piece of ArisInfra’s bigger mission: making technology smarter, more reliable, and more useful. For the interns, it was a crash course in what it feels like to build with real stakes. For the company, it was a reminder of how fresh thinking can reinvigorate even the hardest problems.
“It was a holistic experience, from nurturing an idea to seeing it blossom into
something real”
Poojitha Goli (IIT-Guwahati)
reflecting on her summer.
The Human Side of Innovation
Behind the technical work, many interns noticed the culture that tied everything together. Collaboration was not a slogan on a wall but a daily practice. Ideas were judged on merit, not on where they came from. That openness encouraged experimentation. Some ideas failed quickly, and failure was treated as progress. Others gained momentum across teams and developed into prototypes with real potential.
What made the work meaningful was not only its complexity but also its variety. Some interns pushed into the frontier of computer vision, exploring how machines can interpret documents and visual data. Others worked on anomaly detection, designing ways to identify outliers and patterns in large datasets. Teams experimented with automation pipelines that streamline repetitive tasks and free up time for higher-value work. And several interns dove into retrieval-augmented generation (RAG) systems and large language models, tackling the challenge of blending structured and unstructured data into usable insights. These were not toy exercises. Each project represented a piece of ArisInfra’s bigger mission: making technology smarter, more reliable, and more useful. For the interns, it was a crash course in what it feels like to build with real stakes. For the company, it was a reminder of how fresh thinking can reinvigorate even the hardest problems.
What made the work meaningful was not only its complexity but also its variety. Some interns pushed into the frontier of computer vision, exploring how machines can interpret documents and visual data. Others worked on anomaly detection, designing ways to identify outliers and patterns in large datasets. Teams experimented with automation pipelines that streamline repetitive tasks and free up time for higher-value work. And several interns dove into retrieval-augmented generation (RAG) systems and large language models, tackling the challenge of blending structured and unstructured data into usable insights. These were not toy exercises. Each project represented a piece of ArisInfra’s bigger mission: making technology smarter, more reliable, and more useful. For the interns, it was a crash course in what it feels like to build with real stakes. For the company, it was a reminder of how fresh thinking can reinvigorate even the hardest problems.
“Working on an AI-powered automation pipeline gave me a real look at how
intelligent systems can simplify and speed up workflows”
Ananya Aravinda (Reva University, Bangalore)
reflecting on her project.
This balance of seriousness and curiosity gave interns a genuine sense of what innovation feels
like in practice.
This balance of seriousness and curiosity gave interns a genuine sense of what innovation feels like in practice.
This balance of seriousness and curiosity gave interns a genuine sense of what innovation feels like in practice.
Mentorship That Lasts
Mentorship was another defining feature. It was not confined to scheduled check-ins or evaluations but surfaced in every interaction. Senior engineers, product leads, and managers did not simply supervise. They collaborated, explained decisions, and shared lessons from their own careers. They created space for interns to test their own instincts and learn through experience. That combination of independence and guidance created an environment where interns could both contribute and grow.
What made the work meaningful was not only its complexity but also its variety. Some interns pushed into the frontier of computer vision, exploring how machines can interpret documents and visual data. Others worked on anomaly detection, designing ways to identify outliers and patterns in large datasets. Teams experimented with automation pipelines that streamline repetitive tasks and free up time for higher-value work. And several interns dove into retrieval-augmented generation (RAG) systems and large language models, tackling the challenge of blending structured and unstructured data into usable insights. These were not toy exercises. Each project represented a piece of ArisInfra’s bigger mission: making technology smarter, more reliable, and more useful. For the interns, it was a crash course in what it feels like to build with real stakes. For the company, it was a reminder of how fresh thinking can reinvigorate even the hardest problems.
What made the work meaningful was not only its complexity but also its variety. Some interns pushed into the frontier of computer vision, exploring how machines can interpret documents and visual data. Others worked on anomaly detection, designing ways to identify outliers and patterns in large datasets. Teams experimented with automation pipelines that streamline repetitive tasks and free up time for higher-value work. And several interns dove into retrieval-augmented generation (RAG) systems and large language models, tackling the challenge of blending structured and unstructured data into usable insights. These were not toy exercises. Each project represented a piece of ArisInfra’s bigger mission: making technology smarter, more reliable, and more useful. For the interns, it was a crash course in what it feels like to build with real stakes. For the company, it was a reminder of how fresh thinking can reinvigorate even the hardest problems.
Beyond the Resume
By the end of the summer, every intern left with more than just a completed project. They gained a sense of what it means to grow an idea into something practical, shaped by feedback, collaboration, and mentorship.
For ArisInfra, the interns’ contributions were more than additional capacity. They were catalysts. Their questions and ideas challenged assumptions, inspired fresh approaches, and reminded the team of the value of new perspectives.
What made the work meaningful was not only its complexity but also its variety. Some interns pushed into the frontier of computer vision, exploring how machines can interpret documents and visual data. Others worked on anomaly detection, designing ways to identify outliers and patterns in large datasets. Teams experimented with automation pipelines that streamline repetitive tasks and free up time for higher-value work. And several interns dove into retrieval-augmented generation (RAG) systems and large language models, tackling the challenge of blending structured and unstructured data into usable insights. These were not toy exercises. Each project represented a piece of ArisInfra’s bigger mission: making technology smarter, more reliable, and more useful. For the interns, it was a crash course in what it feels like to build with real stakes. For the company, it was a reminder of how fresh thinking can reinvigorate even the hardest problems.
What made the work meaningful was not only its complexity but also its variety. Some interns pushed into the frontier of computer vision, exploring how machines can interpret documents and visual data. Others worked on anomaly detection, designing ways to identify outliers and patterns in large datasets. Teams experimented with automation pipelines that streamline repetitive tasks and free up time for higher-value work. And several interns dove into retrieval-augmented generation (RAG) systems and large language models, tackling the challenge of blending structured and unstructured data into usable insights. These were not toy exercises. Each project represented a piece of ArisInfra’s bigger mission: making technology smarter, more reliable, and more useful. For the interns, it was a crash course in what it feels like to build with real stakes. For the company, it was a reminder of how fresh thinking can reinvigorate even the hardest problems.
“At ArisInfra, I gained practical, hands-on experience in building a sophisticated RAG system, learning the nuances of handling structured versus unstructured data”
Arin Gupta (IIT-Guwahati)
The company invests in interns not only to teach but also to learn. Their curiosity re-energizes the team, and their boldness encourages everyone to experiment more freely.
The company invests in interns not only to teach but also to learn. Their curiosity re-energizes the team, and their boldness encourages everyone to experiment more freely.
The company invests in interns not only to teach but also to learn. Their curiosity re-energizes the team, and their boldness encourages everyone to experiment more freely.
Looking Ahead
As the program came to a close, there was a sense of optimism across the company. The work produced during the summer is already influencing ArisInfra’s next steps. Some projects will evolve into tools and systems, others will inform product strategies, but the most important impact is cultural.
The summer proved that when bright, motivated people are given space to explore and contribute, they rise to the challenge. For the interns, this was more than a line on a resume. It was a lived experience of shaping ideas into impact. For ArisInfra, it was a reminder of why nurturing talent is essential to building the future.
The future of technology is never delivered ready-made. It is built by people who are bold enough to try, curious enough to learn, and collaborative enough to make it real. This summer, the interns at ArisInfra embodied exactly that spirit
What made the work meaningful was not only its complexity but also its variety. Some interns pushed into the frontier of computer vision, exploring how machines can interpret documents and visual data. Others worked on anomaly detection, designing ways to identify outliers and patterns in large datasets. Teams experimented with automation pipelines that streamline repetitive tasks and free up time for higher-value work. And several interns dove into retrieval-augmented generation (RAG) systems and large language models, tackling the challenge of blending structured and unstructured data into usable insights. These were not toy exercises. Each project represented a piece of ArisInfra’s bigger mission: making technology smarter, more reliable, and more useful. For the interns, it was a crash course in what it feels like to build with real stakes. For the company, it was a reminder of how fresh thinking can reinvigorate even the hardest problems.
What made the work meaningful was not only its complexity but also its variety. Some interns pushed into the frontier of computer vision, exploring how machines can interpret documents and visual data. Others worked on anomaly detection, designing ways to identify outliers and patterns in large datasets. Teams experimented with automation pipelines that streamline repetitive tasks and free up time for higher-value work. And several interns dove into retrieval-augmented generation (RAG) systems and large language models, tackling the challenge of blending structured and unstructured data into usable insights. These were not toy exercises. Each project represented a piece of ArisInfra’s bigger mission: making technology smarter, more reliable, and more useful. For the interns, it was a crash course in what it feels like to build with real stakes. For the company, it was a reminder of how fresh thinking can reinvigorate even the hardest problems.
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Partner With Us
From supply to execution, we make construction simple, reliable, and scalable.
Contact Us
© 2025, Arisinfra Solutions Limited. All Rights Reserved.
Partner With Us
From supply to execution, we make construction simple, reliable, and scalable.
Contact Us
© 2025, Arisinfra Solutions Limited. All Rights Reserved.