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Lead Google Cloud engagements, design and deploy cloud-native solutions for global clients, and guide distributed teams using platform-native services like Data & AI, security, and agentic AI.
Build and deploy enterprise-scale data pipelines and AI workflows on Google Cloud, focusing on Text-to-SQL, LLM evaluations, and synthetic data generation for large customers.
Build secure, cloud-native apps and AI-enabled platforms for government digital and cybersecurity initiatives using Python, Terraform, and CI/CD pipelines.
Build and deploy generative-AI features and agents using Python, LLMs, and cloud services; develop full-stack web apps with Django/Flask and CI/CD pipelines.
Senior Data Engineer builds and optimizes cloud data pipelines for financial services clients using Azure, Snowflake, and Databricks to support analytics and regulatory reporting.
Senior engineer securing Clorox’s AI and data ecosystem, implementing DLP, DSPM, and GenAI security controls across cloud, SaaS, and AI platforms.
Build and run a three-tier evaluation framework for an LLM-based multi-agent system that autonomously adjudicates health insurance claims, ensuring correct reasoning, tool use, and DOL-ready outcomes using Vertex AI, Python, and BigQuery.
Агро — наша платформа для аграрного фінансування: операції зернових складів, складські документи на зерно та кредитування під заставу товару. Це цифровий шар між зерном, яке лежить на елеваторі, і кредитом на балансі…
Build and maintain cloud-based data pipelines and infrastructure for a high-traffic media network, supporting analytics, AI services, and real-time content delivery.
Builds and deploys AI/ML and Generative AI models using Python, TensorFlow, and cloud platforms to solve business problems and enable data-driven decisions.
Build and maintain scalable .NET backend services and RESTful APIs using C#, ASP.NET Core, and microservices architecture on Google Cloud Platform.
Build and maintain AI-powered cybersecurity back-end components, APIs, and cloud integrations using Python, Java, Go, and cloud tools for government clients.
Builds full-stack cybersecurity tools and AI-powered solutions using cloud platforms (AWS/Azure/GCP), modern frameworks, and secure development practices.
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.
Architect and deploy enterprise AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scalability, security, and cost while leading cloud-native development and MLOps.
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.
Senior consultant building and deploying AI-enabled cybersecurity solutions for clients, leading engineering teams, and shaping technical proposals with hands-on full-stack development.
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.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable, secure AI solutions.
Develop secure, AI-powered back-end services for cybersecurity solutions using Python, Java, Go, and cloud tools like GCP and Kubernetes.
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