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Build and lead the AI orchestration backend for CoCounsel Audit, turning frontier LLMs into reliable, production-grade workflows for accountants handling tax, audit, and advisory tasks at scale.
Lead AI-driven system architecture and integration for fintech services, ensuring scalability, reliability, and cross-team alignment while mentoring engineers.
Build and lead enterprise-scale AI systems, including multi-agent and RAG solutions, while driving innovation and scaling prototypes into production for Thomson Reuters’ AI-first transformation.
Designs and owns the architecture of a large-scale AI-powered data extraction platform, ensuring high reliability and guiding engineering teams.
Builds and leads AI-powered conversational products for enterprises, designing ML/LLM systems for voice assistants and customer service interfaces.
Lead AI product initiatives for Edge devices, optimizing ML models for petabyte-scale sensor and video data to improve physical operations like safety and efficiency.
Build and ship AI-powered features (LLM agents, RAG, predictive ops) for a cloud-based network management platform using Go/TypeScript, collaborating with data engineers and product teams.
Build and maintain scalable, low-latency Java backend services on AWS for a SaaS AI risk decisioning platform used by banks and fintechs to detect fraud and manage compliance.
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.
Build and scale AI/ML systems for banking, including LLM apps, RAG pipelines, and agentic workflows, while ensuring secure, high-quality data pipelines and MLOps automation.
Design and build scalable Azure/Databricks data pipelines and semantic models to power analytics and ML for a large Canadian energy company.
Design and build scalable data pipelines and models on Azure and Databricks to power analytics and strategy for a clean-energy company.
Staff Data Engineer builds and governs scalable data systems (Snowflake, Postgres, Kafka) to power TCGplayer’s marketplace, ensuring reliable, secure, and well-tested data flows across warehouse and application platforms.
Leads the data engineering team to build scalable pipelines and data infrastructure for payments, risk, and product analytics using Iceberg, Kafka, Flink, Spark, Airflow, and AWS.
Build and own Jane’s customer data infrastructure from the ground up, designing event pipelines, schemas, and identity resolution to power reliable analytics and marketing decisions across clinics and practitioners.
Leads data pipelines and platforms for payments, risk, and analytics using Iceberg, Kafka, Flink, Spark, and Airflow on AWS.
Lead data engineering initiatives to build scalable, trustworthy data pipelines and ML-enabled systems for payments, risk, and analytics at Stripe.
Designs and builds scalable data pipelines and lakehouse architectures on Azure/Databricks to power analytics and ML, using ELT/ETL, star/snowflake schemas, and streaming/event-driven patterns.
Lead the design and build of large-scale data pipelines and platforms using PySpark, GCP, and Airflow to power analytics, AI features, and real-time measurement for a major retail and media company.
Build and own the real-time data pipelines and infrastructure that feed AI models for a biotech platform, integrating customer systems and ensuring clean, reliable data at scale.
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