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Build and deploy production-grade generative AI systems, then train engineers on those solutions using hands-on workshops and mentoring.
Consultant in Milan designing and building generative-AI and agentic solutions for insurance clients, using Python, cloud AI platforms, and modern AI frameworks.
Junior role in Deloitte’s Bari office building GenAI and agentic AI solutions for insurance clients, using Python, LLM frameworks, and cloud services.
Designs and deploys private AI systems for document intelligence and legal automation using LLMs, RAG, and GPU infrastructure in a law firm setting.
An externship in Washington, DC assisting policy experts with international tax research, drafting policy documents, and engaging with stakeholders to shape global commerce regulations.
Build and deploy AI/ML systems at scale using Python and TensorFlow to turn raw data into insights for business decisions.
Build and deploy AI tools (LLMs, agents, automation) to transform how a $185B private-equity team sources, diligences, and manages investments, collaborating with senior investors and AI practitioners.
Build and ship production-grade LLM-powered agents that automate software delivery tasks like design, coding, testing, and release, while engineering trust via evals, guardrails, and enterprise integrations.
Senior AI Engineer designs and builds production-grade AI systems (agentic workflows, RAG, orchestration) for Thales’ inflight passenger experience, leading cloud and edge deployments while mentoring teams.
Lead the design and deployment of enterprise-grade generative AI systems, including LLM integration and RAG pipelines, to embed AI capabilities into secure, scalable financial-market workflows at a global market-infrastructure provider.
Leads enterprise Generative AI projects, scaling Microsoft 365 Copilot and delivering AI use cases for a global pharmaceutical company.
Build and deploy agentic AI systems and internal AI tools for a fintech company, using Python, LLMs, and full-stack development to automate workflows and improve efficiency.
Lead the design and deployment of enterprise-grade generative AI systems, including LLM integration, RAG pipelines, and AI-driven data access patterns for a global capital-markets infrastructure provider.
Build and deploy AI systems for automotive manufacturing, including computer vision for defect detection and predictive maintenance, using Python, TensorFlow, and industrial automation tools.
Build and deploy AI/ML solutions in Python, including LLMs, RAG, NLP, and computer vision, for global clients using tools like GitHub Copilot and ChatPwC.
Lead the product vision and engineering for an AI-native design system that reimagines human-AI interaction, managing a cross-functional team to drive adoption and business outcomes.
Build and deploy production-grade AI systems using LLMs, agentic workflows, and enterprise data to enhance an order-management SaaS platform.
Design and run adversarial tests to expose hidden weaknesses in cutting-edge AI models, turning findings into robust evaluation benchmarks.
Lead AI engineer building and modernizing enterprise AI/ML infrastructure for Capital One’s banking systems, focusing on generative AI, AutoML, and governed low-code/no-code tools for business analysts.
Designs and builds enterprise data pipelines, AI/ML solutions, and BI dashboards using SQL Server, Azure, Power BI, and Python to automate processes and drive business insights.
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