Technology leader Ankush Sharma emphasizes AI for a greener India and the world.

As the world advances in modern-day tech developments and growth, the role of artificial intelligence (AI) in creating these much-needed positive developments is something one cannot unsee. AI today is no longer confined to science fiction; it is already making greater transformations in varied fields, some of which include healthcare, business, education and how people communicate. However, with power also comes responsibility to ensure that AI systems are trustworthy, reliable and sustainable. Technology leader and one-of-a-kind tech author Ankush Sharma has spent the past few years researching and patenting ways to make AI innovative, safe, and environmentally responsible.

Driven by his passion for AI and understanding that reliability and accountability are questions that may arise in people’s minds, he decided to write his book, Observability for Large Language Models: SRE and Chaos Engineering for AI at Scale, which addresses this pressing challenge in modern AI. The book covers a range of essential topics that make it an indispensable tool for both seasoned engineers and organizations starting their Large Language Models (LLM) journey.

Below, he explains five ways AI can be improved to serve society at large, while empowering both India and the world.



Smarter Healthcare with Generative AI

One of the most promising areas where AI can make an immediate impact is healthcare. Doctors often spend long hours on administrative tasks. However, generative AI offers a solution by:

• Preparing medical documentation automatically.
• Summarizing complex research findings.
• Assisting in drug discovery and clinical insights.

This means doctors can focus more on human connection and patient care, while AI can handle the repetitive, time-consuming background work.

Stress Testing AI with ‘Chaos Engineering.’

Artificial intelligence models, including Large Language Models (LLMs), can sometimes produce incorrect or misleading answers, known as hallucinations. To make this safer, Ankush Sharma applied the concept of chaos engineering, a technique where systems are deliberately stressed to expose weaknesses. Stress testing of AI ensures that models used in sensitive fields like finance, law, and healthcare can withstand the unpredictability of the real world and still perform reliably.

A Patent to Catch AI’s Mistakes

A patented software tool designed to detect hallucinations in AI models has been one of the most significant contributions. This helps in checking for logical consistency, flags contradictions and alerts users when responses are unreliable.

The tool helps prevent:

• Privacy breaches and data misuse.
• Spread of misinformation and fake news.
• Toxic, biased or harmful outputs.

By making AI more factually correct and transparent, this technology can help in reshaping how governments, industries and individuals place trust in AI systems.

Green AI: Reducing Energy Costs

Every AI breakthrough can come with a hidden challenge, which can be energy consumption. Training large AI models often uses as much electricity as dozens of households consume in a year. This may create economic costs as well as environmental strain. Ankush Sharma’s work in Green AI focuses on developing methods that can reduce energy usage during training and deployment. This shift toward eco-friendly AI is vital for India, where sustainable development must go hand-in-hand with digital transformation.

Observability: Keeping AI Transparent

AI systems are also referred to as “black boxes” because their decision-making processes are difficult to understand. Ankush’s research emphasizes observability, equipping organizations with tools to monitor AI in real time continuously.

Each of his efforts has been recognized. Recently, Prof. V. Soamidas, faculty member of Dayalbagh Educational Institute, invited him to deliver a lecture to 50 students in the Faculty of Education. He noted that his work on hallucination detection, Green AI, and observability is “of major significance, shaping how academia and industry alike approach the deployment of ethical and reliable AI systems.”

In conclusion, Ankush Sharma says, “AI will define the future, but it must be safe, sustainable, and transparent.” His research and patent demonstrate how AI can benefit everyone, not just a few big companies.