Justin Alianto

Analytics Engineer @Synpulse

Toronto, ON, CA

Architected an automated, AI-driven data solution by translating complex reinsurance rules into a strategic balance of deterministic, ontology-backed code logic and flexible, LLM-powered AIP Logic calls for peak robustness and reliability.• Engineered numerous post-processing pipelines by leveraging Palantir’s Pipeline Builder and scalable PySpark pipelines to consolidate and standardize 5+ data sources into unique, unified, client-ready data output products.• Optimized Foundry Code Repositories by implementing TypeScript for asynchronous operations and parallel computations, effectively circumventing platform runtime limits and improving data processing efficiency by 40%.• Built interactive KPI-driven Palantir Contour dashboards to visualize reinsurance treaty structures and exposure data, enabling consultants to perform data reconciliation and validation 50% faster and improve their decision-making speed.• Designed and deployed intuitive Palantir Workshop applications for reinsurance clients, incorporating UI/UX best practices to streamline tedious data evaluation workflows and facilitate client adoption.