Tel Aviv District, Israel
Data & AI Solutions Engineer leading the design and deployment of production-grade systems in Azure at Microsoft Israel. I focus on building and scaling GenAI systems, from RAG pipelines to fully autonomous multi-agent workflows. I specialize in turning large language models into reliable business tools with deep experience in AWS Bedrock, LangChain, and LLMOps practices such as CI/CD, monitoring, and prompt management. My goal is to make AI systems stable, measurable, and useful at scale. Achievements • Speaker at Geektime Code 2025 on GenAI engineering practices. • Scheduled speaker at GeekAcademy 2026 on AI agents and autonomy. • AWS Technical Speaker on LLMOps and applied AI architecture. • Lead of the Agentic Developers Community in Israel, growing the national AI engineering network. • Developed and deployed Israel’s first Hebrew multi-agent production system. Specialties AI Engineering, LLMOps, LangChain, AWS Bedrock, GenAI, Python, MLOps, RAG pipelines, Multi-Agent Systems, Prompt Management, AI Infrastructure
I work as a Data and AI Solution Engineer at Microsoft. I help companies design and build data platforms and AI solutions on Azure. End to end. From raw data to production systems. From idea to measurable impact. My focus areas are data engineering, analytics, and applied AI. I work with services like Azure Data Factory, Synapse, Fabric, Azure SQL, Databricks, and Azure AI. I design architectures. I write production code. I support teams during build, deployment, and scale. I spend most of my time with customers. I translate business problems into technical solutions. I challenge assumptions. I validate designs early. I care about performance, security, and cost. I enjoy building practical AI systems. RAG pipelines. Automation. Decision support. Systems people trust and use. If you work on data-heavy products or want to turn AI into real value, feel free to reach out.
• Spearheaded the deployment of multi-agent systems using Google ADK and Microsoft Agent Framework across 10+ workflows. • Developed an MCP server on AWS Agentcore, enhancing task automation coverage by over 30%. • Established standardized CI/CD and evaluation pipelines for AI projects, reducing review time by 50%.
• Developed autonomous agent systems and GenAI applications tailored to client workflows using LangGraph, LangChain, and OpenAI API. • Designed and deployed Retrieval-Augmented Generation (RAG) pipelines utilizing AWS Bedrock and Pinecone. • Led the creation of Israel's first Hebrew-language B2B multi-agent system, enhancing task automation and enterprise interactions.
Managing user acquisition activities on Facebook, Google, Taboola and Outbrain. I was responsible for creating new effective methods to improve our ROl and directly influence our clients performance and growth.