• Built a climate risk solution for major banks to model risks to client sites due to environmental factors. Worked with cross-functional teams to translate and productionize research modules into a scalable, and robust tech product. Owned the delivery of the tech product and led execution by multiple team members. • Took ownership of CI/CD pipelines and eliminated leading causes of build failures. Removed redundancy and reduced deployment times by 75 percent. • Designed and implemented a custom RBAC system to meet sophisticated, out-of-the-box product requirements providing users access based on role and resource permissions. This served as a foundational service for all user actions with minimal latency, focusing on extensibility for future requirements. • Took charge of setting up monthly sessions to discuss and establish technical best practices. Established best practices for a clean git history, and set up standardized git workflows for minimum conflicts during deployments. Lead efforts to reduce code smells and security vulnerabilities by introducing various security inspectors & automated linters/scanners. • Architected a multi-tenant data analytics warehouse for transforming datasets (100 GB+), providing a metric refresh with a latency of less than a minute. All the tables and materialized views were built with optimized schema, and indices to support rapid transformations. Built a self-served tool to enable teams to create custom datasets on demand which feed into the pipeline.

• Built an AI assistant to provide insights on multi tenant data and answer queries. Thedata was continuously updated via a data pipeline after converting to an optimized vector embeddingfor efficient processing.• Implemented an anomaly detection system to identify discrepancies in customer provided data based ondifferent statistical methods. The detection engine was built to be extensible and utilized complexscoring aproaches in classifying subsets of data as anomalous.• Created a benchmarking platform to evaluate and measure company's performance against top marketcompetitors based on a pipeline processing third party data sources. Brainstormed with stakeholders onways to identify and measure the most relevant metrics to provide a view of the domain landscape tocompany leadership.

• Developed an inventory management system for large Pharma companies with live data ingestion andlow latency updates in an accompanying dashboard. Implemented an ETL pipeline to extract data fromSAP tables with complex schema for continous incremental ingestion.• Built a data ingestion pipeline for a Retail giant ingesting data from multiple sources incl EDI andSOAP and ingest it in a data warehouse after significant transformation based on business logic. Wrotean API layer on the warehouse to support reporting on this data.