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Develops and deploys advanced AI/NLP models (LLMs, RAG, agentic architectures) to detect financial crimes like money laundering or insider trading, while mentoring junior data scientists and collaborating with compliance teams.
Build and deploy AI-driven automation for Cisco’s IT operations, designing ML pipelines and CI/CD workflows to optimize global systems and root-cause analysis.
Build and deploy production-ready AI and multi-agent systems for healthcare, focusing on secure, compliant generative AI workflows using LLMs, RAG pipelines, and cloud platforms.
Lead a team building enterprise-grade AI/ML solutions for financial data operations, including LLMs, RAG, and multimodal models, while driving MLOps/LLMOps and cloud deployments.
Design and deliver enterprise-grade AI systems using LLMs, RAG, agentic workflows, and cloud-native platforms while ensuring security, compliance, and scalability for Nordic customers.
Build and deploy autonomous agentic AI systems using RAG pipelines, vector databases, and multi-agent architectures on GCP to automate workflows and replace manual processes.
Build and deploy scalable AI/LLM solutions for Johnson Controls, focusing on generative AI, retrieval-augmented generation, and cloud-based ML pipelines to drive digital transformation.
Leads a tiger team to modernize AI/ML platforms, integrating LLMs (RAG, embeddings) and automating data pipelines for customer identity resolution, while mentoring teams on next-gen AI development and .NET/React-based infrastructure.
Designs enterprise AI solutions on Microsoft’s stack, setting standards and guiding teams to build secure, scalable GenAI apps using Azure AI, Copilot Studio, and modern frameworks.
Principal AI Engineer leads architecture and development of a cloud-native AI platform, building production-grade LLM applications and mentoring a multi-disciplinary team.
Build and maintain AI-native applications using LLMs and agentic workflows in a regulated healthcare environment, with Python/Java, React, and AWS services.
Build and deploy AI/ML systems for Goldman Sachs China, from GenAI stacks to end-to-end solutions, then transfer ownership to business teams.
Build and deploy AI/ML solutions end-to-end, from prototyping to production, using GenAI stacks like LangChain and Amazon Bedrock to drive business impact in China.
Lead enterprise GenAI strategy, architect scalable AI systems, and advise C-suite on tech stacks, trade-offs, and ROI for large client engagements.
Designs and builds enterprise-grade Agentic AI and automation solutions using LLMs, CrewAI, and UiPath to automate workflows across Pearson’s education products.
Lead a team building AI-powered cloud systems at JPMorganChase, integrating LLMs, RAG pipelines, and agentic workflows while leveraging AI coding assistants daily.
Build and test AI-powered prototypes and integrations in Python/C# to enhance products and workflows, focusing on LLMs, RAG, and prompt engineering.
Lead a team of NLP engineers to build LLM assistants, intelligent search, and document processing for a top-5 Russian bank using fine-tuning, RAG, and vector databases.
Build and deploy LLM-powered applications for federal clients, implementing RAG pipelines, prompt engineering, and production AI infrastructure using Python, FastAPI, and cloud services.
Build and optimize production-grade AI systems using RAG pipelines, vector stores, and cloud-native tools to deliver secure, scalable solutions for federal environments.
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