LinkedIn

Ramanpreet Singh Khinda is a Staff Software Engineer and Tech Lead at LinkedIn, where he leads the architecture and development of next-generation, privacy-first mobile infrastructure that empowers developers and advertisers to build responsibly in an evolving regulatory landscape.Over the past decade, Raman has driven high-impact innovations across leading organizations including Google, Snap, and Samsung, contributing to some of the most widely used developer SDKs in the world. His work blends AI, privacy engineering, and mobile systems design, advancing the future of user trust and data ethics at scale.Beyond his technical leadership, Raman is deeply committed to mentorship and inclusive growth in technology. He serves as a long-term mentor in LinkedIn’s Possibilities in Tech program — a four-year initiative supporting students from historically underrepresented communities through mentorship and scholarships at institutions such as Duke and Rutgers. He has also volunteered as a career coach with Grow with Google, helping early-career professionals navigate and thrive in the tech industry.Raman is a frequent hackathon judge and mentor with Major League Hacking and university programs including Cornell, UC Berkeley, Johns Hopkins, University of Washington, and many others where he champions innovation and ethical AI among student developers. He has also been invited as a distinguished speaker at Droidcon, DevFest, Ai4, The AI Summit and many such worldwide conferences in advocating for responsible AI ecosystems.A believer in mindful leadership, Raman integrates Sikh-inspired principles of humility, stillness, and selfless service (seva) into his approach to engineering and mentorship — fostering cultures that value both excellence and empathy.

Amazon

Tejas Pravinbhai Patel is a Software Development Engineer at Amazon Retail in Irving, Texas, and anIEEE Senior Member. He specializes in building and maintaining large-scale distributed systems thatserve millions of customers globally.At Amazon, Tejas works on critical production systems that power the retail ecosystem. His technicalcontributions span multiple high-impact areas including large-scale production systems that handlebillions of events and serve millions of customers. His work includes seller insights platforms thatprovide actionable analytics to Amazon’s vast seller network, fraud detection systems that protect themarketplace integrity, recommendation engines that enhance customer experience, and real-timeanalytics platforms that process massive data streams.He holds technical ownership of several critical infrastructure components. His responsibilities includeDynamoDB migrations that ensure data consistency and performance at scale, LLM-based reviewhighlights that help customers make informed purchase decisions, Amazon Rufus AI integration thatenhances the shopping experience through conversational AI, and Buy Box allocation algorithms thatdrive significant business outcomes by determining optimal product placement. His work directlyimpacts Amazon’s ability to serve customers effectively, maintain marketplace trust, and drive businessgrowth through intelligent automation and data-driven insights.As an IEEE Senior Member, Tejas actively contributes to the academic and professional community.He serves as a peer reviewer for multiple IEEE conferences and journals, helping maintain the qualityand rigor of published research. His peer review activities span various domains including artificialintelligence, distributed systems, cloud computing, and machine learning applications.

Global Quantum Intelligence

André is a published author, speaker and expert on DeepTech with 30 years of Fortune 500, investing and startup experience. He is the CEO of Global Quantum Intelligence, the premier market & business intelligence provider in Quantum Tech, and Chairman of OneQuantum, the leading Quantum Tech community globally with 15K+ members. He studied Quantum Computing at MIT (certificates) and holds a MBA in Economics from the University of Chicago Booth School of Business as well as a Masters in Business from ICN School of Management. He speaks English, German, French and poor Italian, has competed in national sailing championships and pursues special forces combat training.

Cox Automotive

Experienced software engineering leader with over two decades of proven expertise in architecting, developing, and managing enterprise-scale applications across automotive, retail, f inance, and telecommunications domains. Specialized in implementing scalable, cloud-native systems using modern frameworks and architectural patterns, AWS, and GenAI technologies, leading global cross-functional teams to deliver high-performance, secure, cloud-native solutions aligned with business strategy. In his current role as Lead Software Engineer at Cox Automotive, he drives legacy system modernization, ML/AI integration, and generative AI enablement—boosting productivity, fostering automation, and orchestrating agent-driven workflows across the SDLC. Certified professional in AWS, Anthropic, Scrum, ITIL, and architecture.

Viaanix

Jatin is a dynamic, results-oriented leader with a strong track record of performance with a high turnaround and high-paced organizations. He utilizes keen analysis and insights and team approach to drive organizational improvements and implementation of best practices. He is a visionary strategist able to identify fresh solutions, inspire diverse stakeholders with a clear and compelling vision, transcend obstacles, and tenaciously execute to deliver target results on-time, under-budget, and with exceptional ROI.

Novelis

With over 15 years of leadership at the intersection of Data Science, Artificial Intelligence,and Cloud Transformation, Chirag Agrawal drives enterprise-wide innovation through AI,Generative, and Agentic AI. As the Global Head of Data Science at a leading manufacturingorganization, he has spearheaded transformative initiatives that solve complex, real-worldchallenges at scale. His unique blend of engineering rigor, grounded in a MechanicalEngineering background, and advanced expertise in Machine Learning enables him toarchitect AI solutions that are both technically robust and strategically aligned withbusiness outcomes.