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Build and deploy GenAI and agentic AI systems for pharma clients using Microsoft Copilot Studio, ChatGPT Enterprise, and AWS Bedrock, integrating structured and unstructured data pipelines.
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 production-ready AI and multi-agent systems for healthcare, focusing on secure, compliant generative AI workflows using LLMs, RAG pipelines, and cloud platforms.
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.
Builds and optimizes Agentic AI/LLM systems in Python, LangGraph, and cloud-native stacks, focusing on performance, cost, and production reliability for Cisco’s AI platforms.
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.
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.
Lead the architecture and engineering of Citi’s global data and reporting platform, integrating federated query engines, BI tools, and AI-enabled interfaces while driving platform rationalization and adoption of generative AI tools.
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.
Lead a team building geospatial and AI-powered telecom software using ArcGIS, React, Python, and Azure, optimizing network planning and asset management for AT&T.
Principal AI Engineer leads architecture and development of a cloud-native AI platform, building production-grade LLM applications and mentoring a multi-disciplinary team.
Designs and builds enterprise-grade Agentic AI and automation solutions using LLMs, CrewAI, and UiPath to automate workflows across Pearson’s education products.
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 optimize production-grade AI systems using RAG pipelines, vector stores, and cloud-native tools to deliver secure, scalable solutions for federal environments.
Build and maintain Python-based AI workflows using LLM frameworks to automate financial business processes and create conversational agents for internal and client-facing use.
Build and deploy scalable GenAI and agentic AI systems for financial research, integrating LLMs, RAG, and agent orchestration with enterprise-grade controls and Python/Java code.
Build and ship AI-powered applications end-to-end: retrieval pipelines, LLM orchestration, backend APIs, and React/TypeScript frontends on cloud platforms.
Build and deploy AI-powered applications using LLMs, vector databases, and agentic orchestration, owning the full stack from APIs to user interfaces.
Designs and leads enterprise-grade AI solutions for Singtel’s AIDA unit, integrating AI workflows, cloud-native architectures, and hybrid systems while collaborating with cross-functional teams to align technology with business goals.
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