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Lead a team of engineers to design, build, and deploy AI and automation solutions for Amgen’s AI Studio, turning business challenges into scalable, production-ready products with measurable impact.
Design and implement scalable MLOps/LLMOps pipelines on AWS, including SageMaker, EKS, and CI/CD, to deploy and monitor production-grade AI models for enterprise clients.
Lead a team building secure, scalable financial platforms using cloud-native tools and advanced programming to deliver trusted products for JPMorgan Chase.
Designs and deploys production AI solutions, including LLMs and RAG pipelines, using Azure and Python to drive measurable business value across enterprise workflows.
Designs and maintains production-grade LLM pipelines, deployment architectures, and monitoring systems to operationalize generative AI securely and reliably in enterprise environments.
Owns the experimentation loop for ALX’s AI learning platform, designing and running A/B tests to validate hypotheses about AI-driven education, while recruiting beta learners and instrumenting products to measure learning outcomes and UX.
Architect and build DigitalOcean’s AI-native enterprise platform, defining standards for agentic systems, orchestration, and governance while integrating with core business tools like Salesforce and Workday.
Leads AI and R&D projects for a major bank, orchestrating cross-functional teams to deliver high-load, innovative systems from inception to production while managing vendor relations and FinOps cost modeling.
Builds production-grade AI agents for governance, risk, and compliance workflows, embedding with enterprise customers to deploy and scale solutions end-to-end.
Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights…
Build and scale production LLM and agentic systems for a healthcare specialty-care platform, including RAG pipelines, multi-agent workflows, and compliance-grade AI in Azure.
Build and scale production-grade LLM and agentic systems for a healthcare specialty-care platform, including RAG pipelines, multi-agent workflows, and compliance-ready AI in Azure.
Build and operate the data, features, and GenAI foundations for Human Capital AI products, shipping production pipelines and LLM applications using Claude, GPT, and Gemini-class models with strong governance and observability.
Builds and deploys AI/Generative AI solutions (LLMs, RAG, agentic systems) to optimize Mastercard’s pricing and interchange strategies, improving decision-making and operational efficiency in fintech.
Build and deploy AI/Generative AI solutions using LLMs, RAG, and cloud platforms to drive insights and automation for Mastercard’s global operations.
Build and deploy generative AI systems using RAG, LLMs, and cloud-native MLOps on Azure, while mentoring teams to deliver scalable AI solutions across industries.
Build and deploy production-grade agentic AI systems for enterprise clients, including multi-agent orchestration, RAG pipelines, and LLMOps tooling.
Design and deploy enterprise-scale AI/ML solutions, including deep learning and generative models, with MLOps/LLMOps pipelines and cloud integration.
Lead AI/ML projects for enterprise clients, designing and deploying custom deep learning and generative AI models with MLOps/LLMOps pipelines in cloud environments.
Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
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