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Build dashboards and run analyses on transit ridership data to help agencies improve service; Python-heavy role focused on ETL, statistical modeling, and translating insights for stakeholders.
Design and build scalable data pipelines and architectures for EA Sports FC, using Python, Spark, Kafka, and AWS to deliver analytics and AI-driven insights.
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
Build and scale face-recognition systems using PyTorch/TensorFlow, own end-to-end ML pipelines on AWS, and lead fairness analysis for biometric models in production.
Principal Software Developer – AI Data Architect designs and leads an AI-ready data platform for Caseware’s cloud products, setting standards for data modeling, governance, and AI integration while mentoring teams.
Build and optimize Amazon’s cloud-based data infrastructure, designing ETL/ELT pipelines and reporting solutions to enable real-time analytics for IT services across the company.
Lead a team building scalable data platforms and pipelines on Azure Databricks to power AI and analytics, while partnering with business teams to turn data into measurable growth.
Develop and maintain ROS 2/MoveIt2 motion-planning, perception, and simulation for industrial robotics systems in a venture-backed homebuilding automation startup.
Lead a team to design and maintain Azure-based data pipelines using ADF, Databricks, and PySpark, ensuring scalable ETL/ELT and robust data governance for analytics and AI teams.
Build and lead backend systems for a SaaS platform that integrates AI and cybersecurity, designing APIs and services to power scalable, data-driven features for IT management.
Lead a team building AI-enabled full-stack applications using Microsoft stacks, integrating Gen AI agents and workflows, and mentoring developers.
Build and audit SQL reports, validate ETL pipelines, and analyze revenue data to ensure accuracy and support new features for a sales operations team.
Build and prototype AI/data solutions for Fortune 500 clients, turning ambiguous business problems into working systems that drive measurable impact.
Build trusted, AI-ready healthcare datasets by reverse-engineering complex systems, documenting semantics, and creating reusable data products for research and ML models.
Build and maintain AI-driven software for e-commerce systems, integrating databases, cloud services, and security controls while leading development teams.
Build and maintain Venn’s data infrastructure, ETL pipelines, and analytics layers to power product, finance, and risk decisions using modern data tools and SQL.
Designs custom data solutions and builds client-facing reports using T-SQL and Power BI for an asset-servicing provider.
Design and maintain scalable ETL/ELT pipelines in Microsoft Fabric and SAP BW, build reusable data products, and optimize data warehouse structures for analytics and AI-readiness.
Lead a team building cloud-native data pipelines in GCP/AWS using Python, Spark, and Kafka to enable analytics and ML on large datasets.
Lead the design and scaling of Rivian’s Generative AI backend, orchestrating LLMs, vector stores, and agents to power AI-driven features for commercial partners and customers.
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