MLDS 2025: Key Highlights from  Day 3

The last day of MLDS 2025, India’s largest developer conference, kicked off with Paras Chopra, founder of Turing’s Dream (now LossFunk), discussing how India can build advanced AI models for its own needs. 

Chopra stressed the urgency of AI investment, with the U.S. pouring $500 billion and China $150 billion into the field.“Does it make sense for the world’s most populous country to be left behind permanently?” he asked. 

To stay competitive, India must develop foundation models, drawing on DeepMind’s breakthroughs and the country’s strong AI talent. He stressed the need for India to have home-grown superintelligent AI models.

His vision for India competing in the AI SOTA landscape was clear—an “ISRO of AI” by 2025, making India a global AI powerhouse.

Building on the theme of AI’s impact on the developer ecosystem, Invact Metaversity CEO Tanay Pratap explored AI’s impact on programming, presenting both challenges and opportunities for developers. 

Drawing on his experience at Microsoft and Cisco, where he trained over 1,000 students in coding, he noted that while AI can predict tokens, it lacks a true understanding of code functionality, highlighting the need for human oversight and improved training models.

Taking this discussion further into real-world applications, Abhishek A, the chief technology officer at SmartQ, and Keshav Meda, co-founder and chief growth officer, presented their insights into how SmartQ is acting as a bridge between humans and machines, enabling structured communication. 

They highlighted the importance of purpose-built hardware, software optimisation, and high-quality data in accelerating this shift.

During the talk, Abhishek showcased Leva, Smart Cube’s in-house AI tool that automates software development, improving overall productivity. Looking ahead, he predicts a future where AI writes code at lightning speed, customises user interfaces, and manages real-time updates, fundamentally reshaping the way software is built and maintained.

Shifting the focus to AI’s role in financial services, the event also saw Mathangi Sri Ramachandran, chief data officer at Yubi, lead a workshop on how Large Language Models (LLMs) are transforming finance. She spoke about their role in risk management, fraud detection, automated reporting, and personalised customer experiences, providing real-world applications and fine-tuning strategies.

As AI continues to disrupt industries, its convergence with Web3 is unlocking new possibilities. Vivek Gupta, CTO at CoinDCX, shared insights on how Web3 and AI are shaping the next wave of innovation in his session on building crypto in an AI world. 

With AI playing a more central role in decision-making, ensuring strong governance is crucial. Mantra Labs CTO Kumar Sambhav Singh talked about the importance of strong data and AI governance, highlighting the need for accuracy, reliability, accessibility, and compliance with industry standards. 

In addition to this, Saurabh Pramanick, data governance officer at Bank Muscat, highlighted executives driving AI governance in organisations with larger budgets and the urgency of their investments. The session covered the forecast for new AI models, the tools and frameworks in use, and confidence in AI capabilities. It also examined key AI risks, regulations, and governance ownership.

AI is also transforming the education industry. Navin Reddy, founder of Telusko Edutech, talked about how AI is changing the way students learn and solve problems. While they once turned to books, peers, and online trainers, many now rely on AI for debugging and troubleshooting. He stressed that educators now have an even bigger role in helping students use AI effectively while building a strong foundation in core concepts.

As MLDS 2025 wraps up, one thing is clear, AI isn’t just something we use; it’s shaping the way we work, create, and solve problems. The recent disruption by DeepSeek has helped shift perspectives, turning curiosity into confidence and scepticism into acceptance. 

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