Today, Artificial Intelligence and Natural Language Processing are not just buzzwords—they are transformative forces reshaping industries. Aditi Choudhary, a Software Development Engineer II at Amazon Advertising, uses Artificial Intelligence and Natural Language Processing to create innovative, data-driven solutions that enhance user experiences and drive smarter business decisions. In our recent interview, Aditi shared with TechBriefly insights into her journey, her work at Amazon, and her vision for the future of AI and NLP.
Empowering software development engineers with Large Language Models
Aditi Choudhary believes that Large Language Models (LLMs) like GPT and BERT are revolutionizing the work of Software Development Engineers (SDEs) by enhancing productivity and enabling more efficient problem-solving. She highlights one of the primary benefits of LLMs as their ability to generate code automatically. Tools such as GitHub Copilot, powered by LLMs, can suggest entire lines or blocks of code with minimal input from the developer, significantly reducing the time spent on repetitive tasks. This allows SDEs to focus on more complex challenges like system design and optimization.
Aditi also notes that LLMs assist in debugging by analyzing code to identify errors or inefficiencies, thereby speeding up the development cycle and improving code quality. She also points out that LLMs enhance collaboration and knowledge sharing among development teams, helping to maintain consistent coding standards and best practices across projects. Beyond improving code quality, LLMs serve as valuable learning tools for engineers, providing real-time examples and explanations for unfamiliar programming languages or frameworks. Aditi believes this fosters a culture of continuous learning and rapid skill development, particularly benefiting junior developers or those transitioning between tech stacks, ultimately driving innovation in software engineering.
A passion for Artificial Intelligence and Natural Language Processing
Aditi’s fascination with Artificial Intelligence, particularly Natural Language Processing, began when she recognised its immense potential to revolutionise how we interact with machines. “Natural Language Processing is a game-changer in the Artificial Intelligence field because it allows for seamless, intuitive communication between humans and machines,” Aditi explains.
From voice recognition to chatbots and content generation, Natural Language Processing enables systems to understand and process human language in ways that feel almost conversational, simplifying tasks and interactions across industries.
She emphasizes that Natural Language Processing is more than just a tool for streamlining communication; it is a powerful catalyst for transforming entire industries by automating language-based processes and improving decision-making capabilities. “From customer service to healthcare, finance, and beyond, Natural Language Processing is already making waves,” Aditi adds.
Transforming business at Amazon with Artificial Intelligence and Natural Language Processing
At Amazon Advertising, Aditi’s role is pivotal. She focuses on optimizing data pipelines and refining data architecture strategies to enhance behaviour analytics, a crucial aspect of understanding customer needs and preferences. “Artificial Intelligence plays a critical role in every aspect of what we do because it allows us to analyse massive amounts of data in real-time, generate actionable insights, and create more personalised user experiences,” she shares.
Large Language Models is an integral part of her work. It enables the automation of routine tasks involving language processing—such as summarizing reports, answering customer queries, or generating content—thereby freeing up time and resources for more strategic and creative challenges. “When you’re working with the kind of data Amazon handles, you need powerful tools to make sense of it all,” Aditi explains. “Artificial Intelligence enables us to process that data efficiently, while Natural Language Processing allows us to interact with it in ways that are intuitive and productive.”
The power of Large Language Models in business applications
Aditi also highlights the growing importance of Large Language Models (LLMs) like GPT, BERT, and Amazon’s Titan models in the business world. “LLMs are revolutionary in business applications,” she notes. “They are especially useful in marketing and advertising, where content creation needs to be both personalized and scalable.”
LLMs are not only used for content creation but also play a significant role in automating customer service queries, generating product descriptions, and performing complex data analysis. “These models are trained on enormous datasets, which enable them to understand complex contexts and generate human-like responses. They make it easier for businesses to scale operations without sacrificing quality or personalization,” Aditi expains.
Mastering prompt engineering for effective Artificial Intelligence use
A critical aspect of leveraging Artificial Intelligence effectively is prompt engineering—the art of crafting precise inputs or instructions to guide Artificial Intelligence models. Aditi emphasizes the importance of this practice when working with LLMs. “The way you phrase your question or command can dramatically affect the quality and relevance of the Artificial Intelligence ’s response,” she says. For a deeper dive into this subject, Aditi recommends checking out resources like the article on “Mastering Prompt Engineering” from Tweaks for Geeks, which provides comprehensive insights into the field and she wrote it.
Aditi has experimented with various prompting techniques, including Zero-Shot Prompting, where the model is asked to perform a task without examples, and One-Shot Prompting, which provides a single example to guide the response. “Each of these techniques has its place, depending on the complexity of the task,” she explains. Mastering these techniques allows developers to optimize Artificial Intelligence outputs, ensuring that the models deliver accurate, contextually relevant results.
Promoting diversity and inclusivity through Artificial Intelligence
Beyond her technical expertise, Aditi is passionate about using Artificial Intelligence to promote diversity and inclusivity, particularly in traditionally male-dominated fields like technology. She believes Artificial Intelligence can help level the playing field by reducing biases in hiring, providing personalized Artificial Intelligence training programs, and ensuring equal access to opportunities. “When more women and underrepresented groups enter the field of Artificial Intelligence, the technology itself will become more robust and reflective of the real world,” she explains.
Aditi advocates for a diverse workforce in Artificial Intelligence development to create more inclusive technologies that cater to a broader range of human experiences and needs. “It’s essential to encourage diversity in Artificial Intelligence, as it ultimately leads to better, more equitable technology,” she adds.
Vision for the future of Artificial Intelligence in business
Looking ahead, Aditi envisions a future where Artificial Intelligence, particularly Natural Language Processing, is at the core of business strategy. “Artificial Intelligence won’t just be a tool for efficiency—it will be a driver of innovation, enabling companies to tackle creative and strategic challenges that were once thought impossible,” she predicts.
She believes that as Artificial Intelligence technologies evolve, they will enable businesses to operate more efficiently, deliver personalized customer experiences, and uncover new opportunities for innovation. “Natural Language Processing makes it possible to create systems that understand and respond to human language, opening up endless possibilities—from virtual assistants to advanced analytics tools,” Aditi states.
Advancing Artificial Intelligence research
Aditi is not just content with applying Artificial Intelligence and Natural Language Processing in business; she is also keen to contribute to research in these fields. “I believe that writing about Artificial Intelligence is not just about sharing what we know—it’s about pushing the boundaries of what these technologies can achieve,” she says. She is particularly interested in exploring Artificial Intelligence’s role in business decision-making and the growing influence of Natural Language Processing across industries.
Shaping smarter decision-making
Aditi Choudhary’s work and vision for Artificial Intelligence are clear: it is not merely about automating routine tasks or improving efficiency; it is about unlocking new possibilities for innovation, creativity, and smarter decision-making. As Artificial Intelligence continues to advance, Aditi is excited to be at the forefront of this transformation, guiding businesses toward a more intelligent, data-driven future. Her passion, expertise, and commitment to diversity position her as an artificial Intelligence trailblazer in the world of Artificial Intelligence and Natural Language Processing, making her a leader to watch in the tech industry.
