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Leads cloud and AI platform engineering projects, mentors teams, and advises clients on AI-native infrastructure, cost governance, and agentic workflows using tools like Terraform, Kubernetes, and AWS Bedrock.
Builds scalable microservices and agentic workflows using Python, integrating LLMs and RAG pipelines into production systems while ensuring AI reliability and engineering quality.
Design and build AI solutions, agents, and LLM-based apps for enterprise financial services, integrating with systems and APIs.
Builds and deploys AI/ML and Generative AI models using Python, TensorFlow, and cloud platforms to solve business problems and enable data-driven decisions.
Builds and deploys agentic AI systems, integrating LLMs and automation tools into enterprise workflows while ensuring reliability, security, and scalability across full-stack applications.
Design and lead enterprise-scale AI and data architectures, integrating LLMs, RAG, and agentic systems with cloud platforms like AWS, Azure, and Google Cloud.
Build and deploy AI-powered healthcare solutions using LLMs, RAG, and Azure services to automate document processing and enhance clinical insights for payors and providers.
Build production-grade AI architecture blueprints and open-source Quickstarts with Python, PyTorch, and Kubernetes, focusing on enterprise deployment, security, and regulated environments.
Build AI-powered multi-agent systems and full-stack applications using Node.js, React, and TypeScript, integrating LLMs, vector databases, and observability tools like Langfuse for agentic workflows and dashboards.
Builds and deploys AI/ML and generative solutions using Python, TensorFlow, and Azure AI, including agentic apps, RAG chatbots, and document-processing systems.
Design and deploy AI-powered applications, agents, and automation solutions on Azure to improve efficiency and customer experiences in carbon management.
Build and deploy production-grade agentic AI systems for regulated enterprises like banks and insurers, integrating multi-agent orchestration, RAG pipelines, and MCP servers on AWS.
Центр практического ИИ — подразделение Сбера, которое занимается сложными AI-проектами на стыке прикладных исследований, инженерии и бизнес-внедрения. Мы работаем с задачами, в которых недостаточно применить готовую…
Lead a team to design, build, and deploy AI/ML models (computer vision, GenAI, NLP) using TensorFlow/PyTorch and MLOps practices, while mentoring engineers and owning full model lifecycles.
Build and maintain n8n automation workflows, integrate systems via APIs, and manage hybrid cloud infrastructure on AWS/GCP with Kubernetes, while embedding generative AI into automated processes.
Build production-ready card-issuing features for a global fintech platform, including APIs, spend controls, and transaction systems, using Python and AI-driven automation.
Build and deploy production-grade generative AI applications using Python, LLMs, and libraries like Transformers, LangChain, and Hugging Face.
Lead AI engineering at Deloitte, setting vision and standards for GenAI and agentic systems integrated into enterprise products while coding, mentoring teams, and driving cost-aware, secure, and scalable AI solutions.
Lead engineering vision for Deloitte’s Applied AI platforms, designing GenAI and agentic capabilities into enterprise products while coding, mentoring teams, and setting standards for scalable, secure AI systems.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable AI solutions.
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