Michael Prentice

About

Senior Fullstack Engineer with extensive experience in building large-scale, data-driven platforms and consumer-facing applications across top-tier technology companies. Skilled in designing and delivering full-stack solutions using React, TypeScript, Java, Scala, Kotlin, Node.js, and leveraging cloud-native architectures on AWS, Azure, and GCP. Adept at integrating AI/ML capabilities, optimizing backend microservices, and developing scalable data pipelines. Experienced in enterprise data governance, security, and telemetry, with a strong focus on high-growth consumer experiences and government or commercial domains.

Experience

• Software Engineer · Palantir Technologies2020-01-01 – Present

  Developed the Palantir Fall Stack team working across Foundry, Gotham, and Apollo platforms, contributing to enterprise-grade data products that power complex decision-making workflows in government and commercial domains. Delivered modular UI features using React, TypeScript, and Palantir’s internal Blueprints component library. Developed Node.js backend APIs for secure user authentication, RBAC, and metadata search services. Designed and optimized backend microservices in Java, Scala, and incremental Kotlin, deployed via gRPC, ensuring low-latency integration pipelines for analytics workflows. Built and maintained data ingestion and ETL pipelines leveraging Apache Spark, Kafka, PostgreSQL, and Elasticsearch, powering real-time data processing. Engineered and deployed AI/ML capabilities via Foundry’s Code Workbook and the AIP (Artificial Intelligence Platform) for predictive analytics and LLM-powered inference interfaces.

• Software Engineer · Microsoft2020-07-01 – 2022-02-01

  Delivered full-stack solutions on Azure Cloud, integrating services like Azure Data Explorer, Cosmos DB, and Azure SQL Database, enhancing data exploration and analytics capabilities. Architected microservice using .NET Core and Kubernetes, deploying containerized services for enterprise data governance, security, and telemetry. Developed internal data integration pipelines with Python, SQL, and analytics frameworks to bridge healthcare or pharmaceutical data systems. Gained deep exposure to enterprise-grade data governance, security, and technology adoption for clinical or supply chain data insights.

• Software Engineer · Amazon2019-06-01 – 2020-07-01

  Contributed to backend services running on AWS, particularly leveraging primitives such as S3, Lambda, API Gateway, DynamoDB, RDS, and streaming via Kinesis or SQS.

Education

• University of PennsylvaniaBachelor's degree, Computer Science

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