Name: Sunday Dive Into Tech With Experts - 2025
Start: 2025-08-29T20:30:00+05:30
End: 2025-08-29T22:00:00+05:30

Unlock the power of Microsoft Fabric to build secure, AI-native payment systems that both automate integrations and detect fraud in real time. This session showcases how LLMs automate API spec ingestion, transforming chaotic third-party documentation into executable Fabric orchestrations. Concurrently, Python-based ML models process billions of transactions to establish behavioral baselines, velocity thresholds, and device fingerprints—enabling fraud detection from the very first transaction. A graph analytics layer links device metadata, geolocation, and account behavior to catch coordinated fraud attempts beyond traditional models.

Built using Fabric’s compute fabrics, Dataflows, and containerized microservices, this architecture delivers sub-second latency and seamless scalability. It integrates with CI/CD pipelines for audit-ready compliance and real-time streaming into Fabric dashboards for monitoring and alerts. Ideal for data engineers, platform architects, and AI developers using Microsoft Fabric, this talk provides a clear, practical framework for embedding AI at the core of your data-driven applications.

Naila Rais

Mohit Kumar

Uttar Pradesh Power BI Club

Microsoft Fabric User Group Network

Fabric Subscription Fees & sometimes venues for In-person events.

Microsoft - Fabric Community

Sessionize

Unstop

Technology

Microsoft

Microsoft SharePoint

Technology Startups

Software Development

Microsoft Azure

Machine Learning

Microsoft Dynamics

Power BI

Data Analytics

Microsoft Power Platform

Artificial Intelligence

Women in Technology

Github

Data Science

Big Data

### **[Vivek Sharma Sharma](https://sessionize.com/app/organizer/speaker/18963/b2d735b7-b3df-4cbe-bdbb-ba11e8ebf38d)** 

**Software Development Manager @AWS**

Vivek Sharma is an accomplished Software Development Manager with over 18 years of experience delivering complex, high-scale software solutions across cloud infrastructure, payments, fraud detection, and platform services. He is recognized for his proven ability to lead cross-functional, globally distributed engineering teams in fast-paced environments, while driving innovation, operational excellence, and deep technical execution.

Vivek currently serves as a Software Development Manager at Amazon Web Services (AWS) in Seattle, WA, where he leads a team building highly scalable products for EC2 VPC. In this role, he drives critical go/no-go decisions, oversees global rollouts, and manages multi-year roadmap planning, KPIs, and reliability metrics for platforms impacting millions of EC2 customers worldwide.
Previously, at Amazon, he managed engineering teams in Alexa and Payments Risk Engineering where he spearheaded improvements in voice-based product discovery using an artificial intelligence-based tech stack, built experimentation frameworks, and led payments fraud evaluation services across Amazon’s infrastructure. His contributions led to the launch of multiple payment methods, substantial cost savings, and enhanced system reliability during high-traffic events, such as Prime Day.
Before Amazon, Vivek worked at Microsoft as a Software Development Engineer 2, where he contributed to cloud security and supply chain products, designed real-time streaming architectures, and implemented key features in the open-source WinUI framework. Earlier in his career, he held technical leadership roles at Capgemini, Tech Mahindra, Cyient, and NIIT, where he delivered backend systems, re-architected enterprise applications, and mentored engineering teams.
Vivek holds a Master of Computer Applications from Gurukul Kangri University in Haridwar, India, and a Bachelor of Computer Applications from Dr. B.R. Ambedkar University, Agra, India. His expertise spans distributed systems, microservices, CI/CD automation, AWS, Azure cloud technologies, AI tech stack, and open-source contributions, making him a trusted leader in building platforms that power millions of users worldwide.

Vivek Sharma