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Design and lead the enterprise AI platform, including generative AI, RAG, and multi-agent systems, while ensuring governance, security, and MLOps best practices.
Lead the fine-tuning and deployment of LLMs to power NPR’s audience personalization and metadata systems, ensuring ethical AI, factual accuracy, and scalable cloud pipelines.
Builds and scales core data platforms (storage, streaming, caching, indexing) that power Scale AI’s Generative AI Data Engine and RLHF systems for large-scale AI models.
Build and deploy AI/ML systems for defense applications, integrating models into production software under adversarial and constrained conditions.
Build and own AI agent infrastructure and automation systems that connect LLMs to internal tools and data, enabling self-service workflows for marketing and sales teams using Python, JavaScript, and GCP serverless services.
Build and scale an AI-driven cybersecurity platform that automates threat detection and response using LLMs, cloud-native services, and workflow orchestration.
Owns product strategy for integrating frontier AI providers (e.g., OpenAI, Anthropic, NVIDIA) into Trend Micro’s security platform, defining joint roadmaps and co-innovation programs to deliver differentiated AI security capabilities.
Lead a team to build and optimize finance analytics, AI/ML automation, and GCP infrastructure for a travel-tech startup, turning financial data into actionable insights.
Lead finance analytics and AI enablement at a travel-tech startup, building data pipelines, optimizing GCP costs, and deploying LLM-based systems to automate financial reporting and decision-making.
Researcher at a biotech startup building AI foundation models for drug discovery, analyzing model behavior, designing biological evaluations, and guiding data strategy.
Lead full-stack development of enterprise healthcare applications using React, Node.js, Python, and AI integrations, while guiding architecture and engineering best practices across teams.
Build and deploy AI-powered applications for scientific research, using LLMs, RAG, and Python to automate evidence synthesis and streamline healthcare workflows.
Designs and implements AI solutions using LLMs and data pipelines, collaborating with teams to solve business problems through AI-driven architectures.
Lead a greenfield Applied AI team to build production-grade ML and LLM-augmented models for wealth-management workflows, owning the full lifecycle from problem framing to deployment and monitoring.
Build and deploy ML models for wealth management, focusing on causal inference, forecasting, and generative AI workflows using Python, TensorFlow, and LLM APIs.
Leads Spotify’s content platform strategy, shaping product vision and collaborating with ML engineers to build and refine discovery systems for media content.
Principal Engineer explores cutting-edge AI models and agent frameworks to prototype cybersecurity capabilities, rapidly validating technical assumptions and de-risking adoption for classified environments.
Build AI/ML models and geometric algorithms to extract and render high-fidelity road and lane data for Google Maps, improving navigation accuracy and user experience.
Build and deploy ML/AI models (including GenAI) for pricing, personalization, and fraud detection in a restaurant-tech SaaS platform.
Designs and deploys secure, governed AI solutions on Azure OpenAI, building RAG agents, APIs, and vector search pipelines while ensuring responsible AI practices and cybersecurity compliance.
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