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Lead the design and delivery of AI-native products that transform unstructured geoscience data into structured knowledge systems.
Principal-level role building LLM-driven tools to enhance investment research workflows, integrating AI into core decision-making processes.
Builds and maintains AI-powered assistants and transactional systems; works on full-stack development, RAG pipelines, vector databases, and automated QA for a payments and document-processing platform.
Lead Oracle ERP and Generative AI engagements, designing AI-enabled solutions for finance, supply chain, and procurement to drive business transformation and operational efficiency.
Lead the online reinforcement learning team for STEM-focused LLM post-training at GigaChat, designing RLHF pipelines, reward models, and data curation to improve reasoning in math, physics, and other sciences.
Build and secure cloud-native AI platforms on Azure, Oracle Cloud, and AWS for a global bank, using Python, IaC, and Azure OpenAI while enforcing governance and compliance.
Lead Macquarie Group’s global Applied AI strategy, turning experimental AI into scalable, risk-managed enterprise systems that drive commercial value across the business.
Lead Macquarie’s global Applied AI strategy for commodities and financial markets, bridging business needs with engineering and data science to build decision systems.
Build and ship AI-powered features to automate internal workflows and enhance physician/employer-facing tools, using LLMs, retrieval, and agentic patterns with rigorous evaluation.
Lead the development of generative AI applications at Citi, designing and building AI-driven solutions for financial services.
Lead Macquarie’s global Applied AI strategy for commodities and global markets, shaping AI-driven decision systems that help clients manage risk and trade in financial and physical markets.
Drive the technical roadmap for Bloomberg’s GenAI platforms, focusing on user experiences and integrations within the CTO Office’s innovation-driven engineering team.
Lead a team to build data analytics, automation, and GenAI solutions for banking operations, using SQL, Python, Tableau, and LLMs to deliver insights and streamline workflows.
Drive the technical roadmap for Bloomberg’s GenAI platforms, integrating AI capabilities into products and infrastructure under the CTO Office.
Build and scale AI-powered agent systems and backend services for a climate-focused SaaS platform using Python, Django, and AWS, with LLM frameworks like LangGraph and LangChain.
Build and lead the technical architecture of IRIS, a personal AI fundraising agent that matches exceptional founders with investors using AI-driven workflows across email, WhatsApp, phone and web.
Build and deploy enterprise-grade AI systems using LLMs, RAG, and Agentic AI frameworks to automate workflows and enhance customer experiences in banking.
Develops and integrates AI solutions (generative AI, agents, workflow automation) to optimize EMCOR’s construction/energy infrastructure operations, collaborating with business teams to implement secure, scalable AI tools while ensuring compliance with governance and security standards.
Leads AI strategy and business planning for HP’s Applied AI org, translating technical work into executive narratives, managing budgets, and coordinating cross-functional initiatives.
Leads strategy, planning, and executive communications for HP’s Applied AI team, translating technical AI work into business narratives and driving organizational alignment and operational discipline.
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