"Code. Collaborate. Conquer: Unlocking Engineering Productivity with Generative AI"

In today's fast-paced digital economy, engineering teams are under constant pressure to deliver faster, better, and smarter. Traditional development models, siloed workflows, and manual processes can no longer keep up with the scale and complexity of modern software demands. The rise of Generative AI marks a paradigm shift—one that has the power to fundamentally transform how engineering teams code, collaborate, and conquer challenges.

This session explores how organizations can leverage Generative AI to supercharge engineering productivity across the software development lifecycle. From AI-assisted coding and intelligent testing to automated documentation, smart DevOps and SmartITOps integration, we’ll uncover real-world applications, frameworks, and metrics that enable faster time to market, higher code quality, and improved team morale.

Through practical insights, success stories, and lessons learned from the field, attendees will gain a blueprint to:

Embed GenAI seamlessly into developer workflows
Foster a culture of collaboration between humans and AI
Drive measurable improvements in productivity and innovation
Case in Point – What is Datamatics doing in this space? Accelerators, Tools, Adoption Framework, Adoption Metrics etc

Join me to discover how GenAI is not just augmenting engineers—but empowering them to reimagine what's possible.

"Synthetic Personas and Thought Partners - Gen AI in Qualitative Research and Human Empathy Design"

Ph.D. Research Scholar(NeuroSciences) in Data Science by Education, a Data Scientist by Passion and Profession, and a Leader by experience. Blended 18 years of work experience in Technical, Functional, and Leadership skills in the areas of Data Science, Machine Learning, and Deep Learning with a strong Research mindset, which helped me set up frameworks and solutions from scratch. An Influencer, Motivator, and Supporter of all the Good Causes.

"Agentic AI : Performance Challenges"

At Capgemini Engineering, my role as Chief Architect harnesses the potential of AI/Generative AI to drive innovation in Semicon, autonomous driving, Robotics and smart IoT solutions. My expertise extends to embedding advanced AI in edge computing, leveraging tools like NVIDIA cuDNN to optimize performance. Within the organization, our team has pioneered the integration of Large Language Models to elevate our technological offerings and maintain our competitive edge in a rapidly evolving industry.

"Ethical AI: Navigating Fairness, Bias, and Transparency"

I will share my knowledge and experience on:

Responsible AI practices in an AI ecosystem
Importance of building an effective AI governance framework for an organization
How to implement Privacy embedded solutions
Privacy enhancing Technologies
Implementing Privacy by design

A versatile and a passionate Data privacy and AI governance professional, currently playing the role of the “Global Data Privacy officer” at LTIMindtree a 4+ billion-dollar organization spanning across 30+ countries.

Recipient of the prestigious "Data Privacy Leader of the Year 2024 Excellence award" by NASSCOM DSCI.

Author of the paper on “Practical implementation of Privacy by Design” for NASSCOM DSCI that was published by NASSCOM DSCI in FEB 2024.

An active speaker/panellist on Data privacy and AI governance at NASSCOM DSCI, Economic Times (ETCIO, ETCISO), MeiTY/NeGD, India Digital Summit, Legal conclave, EY, Media Nama, IAPP chapters, ISMG, Bharat-Namma Privacy, FDPPI, Lex Witness, CXO events, etc. events.

In a career spanning 25+ years, have played several leadership roles across from Heading Data Privacy, Delivery management, Heading Alliances, Heading Transitions, Program management and HR. This holistic experience enables me to look at things in totality, collaborate effectively and achieve results.

"Innovations in Gen AI: Beyond the Hype"

"Autonomy and Alignment - Building Trustworthy AI Agents"

I'm a Data Scientist with extensive experience in AI-driven transformations across manufacturing, telecommunications, and other industries. I specialize in leveraging cutting-edge technology to enhance efficiency and predictive maintenance. I have developed predictive and recommendation engines that optimize decision-making processes and integrated speech capabilities into Spot, a robotic platform, using generative AI. My focus is on Generative AI, specifically leveraging Large Language Models (LLMs) and fine-tuning Sequential Language Models (SLMs) to improve customer service. My expertise includes NLP, Machine Learning, and Gen AI. I drive AI innovation to optimize customer service processes, ensuring efficiency and superior user experience.

"Beyond Prediction: Unlocking New Frontiers with Generative AI, Machine Learning, and the Dawn of Quantum Computing"

I'm a Software Architect with a strong foundation in software engineering, specializing in scaling secure, cloud-native systems and driving strategic technology transformations. I lead high-performing architecture teams, bring AI/ML into production, and optimize for both performance and cost. Alongside my professional work, I’m a part-time PhD scholar researching Quantum Computing and post—quantum cryptography, exploring the future of secure system design. I thrive at the intersection of engineering depth and innovation, and I’m always ready for what’s next.

"The Evolution of Gen AI: Trends and Predictions for the Next Decade"

Passionate AI professional with 13 years of expertise in Artificial Intelligence & Data Science.

Key areas of expertise includes: Pricing Analytics, Problem Solving, Machine Learning (ML), Deep Learning (DL), Text-Mining, Natural Language Processing (NLP), GenerativeAI (GenAI), Data Science Consulting, Technology Training and establishing AI Centers of Excellence (CoE).