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Lead Affirm’s ML underwriting systems, designing and scaling advanced models (e.g., Transformers, XGBoost) with PyTorch and Spark to drive transparent credit decisions and mentor senior engineers.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Build and deploy 4D Vision™ systems for industrial robots, extending object detection, depth estimation, and pose estimation using PyTorch and foundation models to enable precise automation on factory floors.
Lead the design and optimization of ML algorithms in Vertex AI, build scalable data pipelines, and mentor engineers to productionize personalization and recommendation systems for a global gaming commerce platform.
Lead Benevity’s AI/ML strategy, designing scalable GenAI systems, LLM-powered features, and MLOps pipelines to deliver measurable business value from model training to production monitoring.
Lead the design and architecture of Stripe’s ML Platform, building scalable systems for training, serving, and monitoring ML models that power fintech products like Payments and Radar.
Build and scale multi-agent LLM systems and pipelines to power conversational user experiences across devices, using AWS Bedrock, vector search, and Kubernetes.
Build and deploy ML systems for crypto fraud detection, recommendations, and chatbots using deep learning and graph neural networks to secure and improve Coinbase’s platform.
Build and deploy ML models for real-time ride-sharing recommendations using deep learning frameworks like PyTorch or TensorFlow.
Lead the ML vision for Lime’s supply and fleet optimization systems, building forecasts and deployment strategies that power millions of rides worldwide.
Build and scale a machine-learning platform that accelerates drug discovery, enabling the full ML lifecycle from development through deployment.
Build and deploy cutting-edge ML/NLP models (LLMs, transformers) to power real-time call-center coaching, using Python, PyTorch, and cloud infra.
Optimize and analyze ML/AI performance on Arm hardware/software, feeding insights back to engineering teams and producing technical summaries.
Build and improve large-scale machine learning systems to personalize Pinterest’s Homefeed, Ads, Search, and more using deep learning and big-data tech.
Build and deploy ML systems for video recommendations and personalization at scale using deep learning frameworks like TensorFlow or PyTorch.
Lead AI/ML and GenAI solution development, architect full-stack systems on GCP/Azure, and mentor teams while bridging business needs with technical execution.
Build and improve ML pipelines for media/entertainment tools, implementing deep-learning models in Python/C++ to process VFX and game data at scale.
Build and deploy AI/ML models (computer vision, NLP, LLMs) on Azure to support transportation and infrastructure projects, ensuring robust CI/CD and stakeholder communication.
Build and deploy production-grade ML systems for utility operations, focusing on time-series forecasting, anomaly detection, and geospatial intelligence with MLOps and cloud/on-prem deployments.
Lead the design and scaling of multi-modal, agentic AI systems for banking workflows, from model evaluation to production deployment in a fast-growing startup.
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