"Accelerating Business Impact with Gen AI : Turning data into intelligent decisions"

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.

"Gen AI as an Analytical Partner: Redefining the role of data scientists in business decision-making"

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.

"From Qubits to Insights: Fusing Quantum Computing and Generative AI for Next-Gen Data Analytics"

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.

"Ethics and Transparency in AI and Data Analytics"

"Gen AI and the Evolution of Data Visualization: From Descriptive to Predictive Insights"

I am an AI Engineering Manager at IBM, with a PhD in AI and Data Analytics and over 17 years of diverse experience in the field. I collaborate with architecture and infrastructure teams to establish compliant build and deploy pipelines for AI and analytic workloads, ensuring adherence to AI-regulatory frameworks and data ethics.

"The Future of Gen AI and Data Analytics: Bridging the Gap Between Insights and Impact"

Dr.S.Chandrasekhar is currently Sr Professor Analytics at JAGSOM B School previously IFIM Business school B"Lore . From 1 June 2023 he also holds additional position of Advisor & Professor School of Science and technology at VijayBhoomi University Karjat Near Navi Mumbai. The university is started by the same education group that runs IFIM Group of Institutions . Prior to joining IFIM he was Professor & also Officiated as Director( during April 2009-Jan 2010) at FORE School of Management, New Delhi. He joined FORE SCHOOL in July 1998 as Senior Professor and later on became chair professor Director-IT and subsequently Director(Officiating).He has a total of about 45 years of experience in R&D,Academic & Industry in the area of IT and Quantitative Methods.

"Intelligent & interactive BI- decision making of Modern Supply chain platform"

At Exnrg, leading digital transformation initiatives and architecting scalable autonomous supply chain solutions across diverse industries. As a techno-functional enterprise architect, I apply TOGAF 10 for modular architecture design, ITIL for service excellence, and CCSP principles to ensure secure, resilient systems. I bridge business and technology by driving end-to-end implementations—from intelligent planning to last-mile logistics—through AI/ML, IoT, and Gen AI-powered platforms. My role involves managing cross-functional teams, engaging stakeholders, and aligning technology innovation with strategic business goals to build future-ready, self-healing supply chain ecosystems.

"Real Time Analytics Using Apache Pinot"

Apache Pinot is a distributed OLAP datastore designed for real-time analytics, enabling low-latency, high-throughput queries on massive datasets.

This talk explores its architecture, real-time data ingestion, indexing techniques, and scalability. Real-world use cases, like LinkedIn and Uber Eats, highlight its ability to power user-facing applications and actionable insights efficiently.

AI and Tech Influencer | 1M+ audience
Arsh Goyal AI and Tech Influencer | Software Engineer

"The Future of DevSecOps: Human + Machine Collaboration"

27+ years leading transformation across BFSI, Telecom, Pharma, Manufacturing & Energy

• $100M+ global programs delivered, 400‑member cross‑border teams empowered
• Top 100 Global Tech Thought Leader (Thinkers360)
• Best People Manager (Wipro)

"Evolution of testing techniques with AI"

Highly skilled and tenured multi cloud migration , development , integration and DEVOPS professional with architecture experience in AWS and Azure multi cloud , application and deployment setup with specialization in Serverless compute. Harsh is a professional with a decade long experience in driving cloud solutions and large deployment teams across departments with a high response timeline and low error rate tolerance on a complete end to end DEVOPS deployment pipeline .

"MLOps from First Principles"

Hands-on and detail-oriented Information Technology leader with 25+ years of diverse experience.

My PhD in Public Policy & Big Data examines the role of Technology in sustainable human development, as well as the impact of public policies in the creation and dissemination of such Big Data. My dissertation proposed an intelligent, federated data mining architecture for policy creation and analysis.

With a unique skill-set blending two decades of diverse, wide ranging, and hands-on Information Technology experience with a training in public policy, I am well-placed to understand the nuances of applying technology to solve sizeable real-world problems.