PW IOI Student Success Story: Riyanshi Tomar Secures a Rs. 20K/Month AI Internship at Physics Wallah

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Building Practical AI Experience

An internship provides students with an opportunity to understand how technical knowledge is applied in a professional environment. Riyanshi’s role at PhysicsWallah can expose her to real project requirements and professional workflows.

Working alongside experienced teams can also help her understand how AI-related projects move from an initial problem statement to experimentation, implementation, and evaluation.

This experience can help develop not only technical capabilities but also communication, collaboration, time management, and professional discipline.

From PW IOI SOT'24 to Physics Wallah

Riyanshi’s journey from PW IOI SOT'24 to an AI internship at Physics Wallah represents an important professional milestone.

As a student, working in a professional AI environment can help her understand how technology teams approach real-world challenges. It can also introduce her to professional collaboration, project requirements, deadlines, testing, and implementation.

The experience can help Riyanshi connect her academic understanding of AI with practical applications.

Understanding Riyanshi’s AI Internship

An AI internship can involve several areas depending on the projects and requirements of an organisation. Students may get exposure to data preparation, model development, experimentation, automation, AI tools, and evaluating technology-driven solutions.

Through her internship, Riyanshi can develop experience in areas such as:

• Artificial Intelligence concepts

• Data handling and analysis

• Machine learning workflows

• AI-based problem-solving

• Model experimentation

• Automation

• Technical research

• Evaluating AI solutions

The experience can help her understand how AI development goes beyond theoretical concepts and involves testing, evaluation, iteration, and practical implementation. Working alongside experienced teams can also help her understand how AI-related projects move from an initial problem statement to experimentation, implementation, and evaluation.

How PW IOI Supported Riyanshi Tomar’s AI Journey

Riyanshi’s transition from the SOT'24 batch to an AI internship highlights the importance of developing skills specifically aligned with artificial intelligence roles.

For an AI-focused career, the following areas can support her professional development:

• AI Experimentation: Working with different approaches can help Riyanshi understand how AI solutions are tested and refined.

• Data-Centric Thinking: Learning to examine and prepare data can strengthen her understanding of how data influences AI outcomes.

• Algorithmic Problem-Solving: Technical challenges can help develop a detailed approach to solving AI-related problems.

• Model Evaluation: Understanding how AI outputs are tested can help Riyanshi assess the effectiveness and reliability of different solutions.

• Automation Mindset: Exposure to automation can help her identify tasks where AI-based systems can improve efficiency.

• Continuous Learning: AI is a rapidly evolving field, making the ability to learn new tools and approaches an important professional skill.

These areas are particularly relevant to Riyanshi’s AI internship and can help her build a stronger foundation for future opportunities in artificial intelligence.

A Step Towards Riyanshi Tomar’s AI Career

The AI internship can serve as an important foundation for Riyanshi’s future career. As she gains experience, she can continue developing skills in areas such as machine learning, generative AI, data science, automation, and AI application development.

The experience can also help her identify specific areas of artificial intelligence that she would like to pursue further.

Early exposure to AI projects can give students greater clarity about career paths while helping them build practical portfolios for future opportunities.