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Scaling Identification Solutions Using Graph DB
The need for scalable and efficient identification systems is critical, particularly in areas like fraud detection, social network analysis, and customer identity management. Graph databases (Graph DB) excel in handling highly connected data, making them ideal for identifying relationships, patterns, and anomalies in large datasets. This workshop will explore the use of Graph DB as a solution to scale identification systems effectively. You will also get to know how Target leverages the use of Graph DB in guest identification.
Target Audience
- Data Engineers & Architects – Looking to design scalable identity or fraud detection pipelines.
- Security & Risk Analysts – Interested in relationship-based anomaly detection.
- Software Engineers – Building backend systems requiring efficient identity resolution.
- ML & AI Developers – Enhancing models with graph-based feature engineering for customer intelligence.
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About the speaker
Shesadri Parthasarathy
Distinguished Engineer, Target in India
Shesadri leads the development of scalable, reusable platforms for retail functions, drives the Enterprise Carts & Checkout re-write, and focuses on AI-driven operational efficiency. Additionally as a technical leader at Target in India, he fosters innovation, continuous learning, and provides technical thought leadership.
Sesh joined Target in 2018 and was instrumental in building key platforms - Guest Data Platform, Checkout & Returns. These platforms provided the underlying technology for personalised and seamless omnichannel experiences for guests while shopping or returning products on Target’s various shopping channels. His expertise includes implementing high scalable, cloud compliant omni-channel retail & marketing data solutions using open source and off-the-shelf tools and frameworks.
Vijay Krishnamoorthy
Senior Engineering Manager, Target in India
Vijay leads product teams at Target in the Guest Data Platform space. His focus is on building scalable, high-performance systems that enhance guest experiences, while ensuring compliance and security. A passionate mentor, Vijay has played a key role in developing the next generation of engineering talent at Target. Vijay is a hackathon award winner and has been recognized for his contributions to the Biometric Authentication solution for the Target Mobile App.
