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Build and optimize large-scale recommendation systems that serve 200M+ monthly users, leveraging cutting-edge ML research and experimentation.
Builds and scales AI/ML storage infrastructure at Google, leading distributed teams to design, deploy, and maintain large-scale systems that power core products.
Designs and scales AI platform services for agent orchestration, retrieval, and model serving at Gusto, leading architecture, productionizing AI techniques, and mentoring engineers.
Build and scale ML models for PayPal’s global payments platform, focusing on fraud detection, risk modeling, and personalized financial services.
Lead ML engineering for edge AI that monitors vehicle health in real time, building pipelines to train and deploy models on constrained in-vehicle devices.
Lead edge AI development for in-vehicle health monitoring and prediction, optimizing ML models for embedded hardware and deploying them on resource-constrained devices.
Build and ship core ML components for production systems, focusing on data, training, evaluation, and inference with an emphasis on latency, cost, reliability, and safety.
Build and deploy ML models that turn multi-modal retail data into security insights using PyTorch, scikit-learn, and Kubernetes on a cloud-native platform.
Build and deploy ML models to detect retail crime patterns, match suspects, and analyze video evidence for global retail clients using Python, computer vision, and cloud pipelines.
Build and optimize the core execution engine for AI agents that resolve customer support tickets, integrating LLMs, tool calls, and retrieval pipelines in Python on Kubernetes.
Build and harden the core execution engine for Zendesk’s AI agents: planning loops, tool dispatch, retrieval pipelines, and production instrumentation to train specialized models.
Staff ML Engineer at Xero’s AI Products group designs scalable ML infrastructure and sets technical standards for LLM-powered features used by millions of small business customers.
Build and deploy ML/LLM systems to improve merchant discovery and shopping experiences on Pinterest, focusing on content enrichment, entity resolution, and evaluation frameworks.
Lead AI/ML projects to build safety and security mitigations for Google Workspace, including LLM-based auto-raters and prompt-injection classifiers, collaborating with DeepMind and Workspace teams.
Build and scale AI systems to surface high-quality merchants and shopping experiences for Pinterest users, collaborating across teams to improve discovery and business reach.
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.
Lead GenAI and voice/audio ML infrastructure at a healthcare SaaS company, designing scalable platforms so product teams can ship AI-powered features like Call Intelligence and AI Receptionist.
Design and implement advanced ML models to improve delivery and customer experience using Python, TensorFlow/PyTorch, and cloud platforms.
Design and deploy production-grade AI systems, including agentic workflows and GenAI, to drive measurable business impact in digital banking and lending.
Build and own ML and backend systems for Uber AI Solutions, driving end-to-end verticals from data infrastructure to production AI models that power global AI teams.
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