Mr. Bhaskar Bharat Sawant

From Pipelines to Predictions - Architecting Data Systems that Fuel Responsible AI

Abstract:

In today’s enterprises, AI initiatives often falter—not due to poor models—but because of brittle data foundations. This session explores how robust data engineering pipelines unlock scalable, trustworthy AI. Drawing on real-world transformations in manufacturing and finance, I’ll showcase patterns for integrating multi-terabyte transactional systems with Azure-hosted data lakes, and how we employed CI/CD-driven ETL to reduce nightly workloads from 7 hours to 2. We’ll discuss how microservice-based APIs, domain-driven design, and data validation frameworks directly impact ML feature quality and compliance. Crucially, we’ll delve into how incorporating data lineage, anonymization, and role-based masking upholds data privacy and fuels responsible AI outcomes.

This talk provides actionable guidance for leaders and engineers seeking to bridge the gap between operational systems and ML pipelines—delivering not just clever models, but resilient architectures that adapt to shifting data and regulations.

What’s your talk about?
How to design end-to-end data architectures (from ingestion to ML inference) that support scalable, compliant AI. Focus on integrating operational systems, real-time pipelines, and data privacy.

What audience will get:
• Proven patterns for building ML-ready data platforms
• Strategies to meet data privacy mandates (GDPR, CCPA)
• How to accelerate ML adoption with solid data engineering

Target audience:
Data engineers, solution architects, ML practitioners, engineering leaders.

 

Profile:

Bhaskar Bharat Sawant is a seasoned technology professional with over 15 years of combined academic and industry experience spanning artificial intelligence, machine learning, and cloud- native software engineering. His work integrates cutting-edge domains such as big data analytics, predictive modeling, IoT, and cybersecurity to deliver intelligent, scalable solutions across enterprise environments. Bhaskar Bharat Sawant is currently serving as a Senior Software Engineer at Cornerstone Building Brands, USA. He holds a Bachelor's degree in Computer Engineering and a Master's degree in Computer Information Systems and Information Technology. Bhaskar’s core competencies include full-stack web development, software performance engineering, and designing resilient distributed systems using modern architecture patterns. He has contributed to a range of initiatives involving network systems, cloud computing (Azure), and real-time data pipelines, with a strong emphasis on security, efficiency, and user-centric design. A passionate advocate of innovation through data, Bhaskar is actively involved in technical communities, conference speaking, and peer reviewing for major journals and IEEE conferences. His current interests lie at the intersection of AI-driven decision systems, software optimization, and secure, scalable architectures.