Sneha Nathani

97% data extraction accuracy on heterogeneous financial documents — multi-stage pipeline: deterministic parsers + LLM fallback inference, automated RAGAS-style eval coverage across 10+ document categories. 65% reduction in manual KYC document review — production document intelligence pipeline (Python, Node. js, AWS Textract, Kubernetes) processing compliance documents at fintech scale.

Reduced data latency from daily batches to minutes — near-real-time CDC pipelines with full Grafana + Datadog observability across extraction runs.

30% throughput improvement — event-driven microservices with Kafka, Mongo DB, and LLM inference layers; owned schema → API → deployment → metrics end-to-end. 60% reduction in compliance review time — LLM-based regulatory document automation with audit trails integrated into reporting systems.

Predictive financial data pipelines for document intelligence clients; LLM observability dashboards tracking pipeline accuracy, model drift, and anomalies.

60% reduction in customs processing time — automated end-to-end documentation and shipment workflows; real-time fleet tracking with predictive maintenance alerts reducing breakdowns by 20%. Mongo DB read-optimised data layer with denormalized/materialized views for low-latency logistics APIs handling high-throughput fleet operations.

Real-time Kafka data pipelines for logistics event streaming — event-driven architecture supporting fleet, shipment, and compliance data flows.

40% campaign efficiency improvement — multi-tenant marketing platform with automated campaign analytics and real-time Kafka pipelines. 25% user acquisition increase — growth automation integrations (Mailchimp, Stripe, Zapier); 50% backend performance uplift via legacy module refactoring.

Backend modules for card upgrade and migration systems (Java, Apache Struts) at large-scale card lifecycle; secure payment APIs reducing code duplication by 30%; IBM Web Sphere cluster deployments; batch-driven enterprise billing reporting.

Enterprise backend engineering, ETL pipelines, compliance systems, and distributed data processing across financial services, media, and logistics domains.

Enterprise backend engineering, ETL pipelines, compliance systems, and distributed data processing across financial services, media, and logistics domains.

Enterprise backend engineering, ETL pipelines, compliance systems, and distributed data processing across financial services, media, and logistics domains.

Enterprise backend engineering, ETL pipelines, compliance systems, and distributed data processing across financial services, media, and logistics domains.

Enterprise backend engineering, ETL pipelines, compliance systems, and distributed data processing across financial services, media, and logistics domains.