# Rotem Margalit

Rotem Margalit is a Data Scientist based in Israel, focused on production machine learning, AI agents, multi-agent systems, and applied AI. He builds AI systems that move from prototype to production, using Python, Kubernetes, Terraform, MCP, A2A, graph algorithms, and modern ML workflows.

Website: https://www.margalit.ai
LinkedIn: https://www.linkedin.com/in/rotem-margalit-b56240b1/
GitHub: https://github.com/rotema7
Email: rotem@margalit.ai

## Areas of expertise
- Data Science
- Machine Learning
- Production ML
- AI Agents
- Multi-Agent Systems
- A2A
- MCP
- Kubernetes
- Terraform
- Python
- Graph Algorithms
- Applied AI
- NLP
- Social Network Analysis

## What I do
- Production machine learning systems
- AI agent orchestration and multi-agent infrastructure
- MCP and A2A-based agent workflows
- Data science automation and ML pipelines
- Graph algorithms and network analysis
- Workforce analytics and business ML

## Current role
Data Scientist at Paycor

## About
- I build data science and AI systems that reach production. At Paycor, I own the full lifecycle of ML initiatives and multi-agent platforms — framing problems, prototyping models, and deploying solutions inside real business workflows.
- I design agent-native infrastructure on Kubernetes and Terraform: an orchestrator agent coordinates specialized sub-agents over the Agent-to-Agent (A2A) protocol, with Model Context Protocol (MCP) servers exposing tools and context to the agent graph.
- Before industry, I spent two years as an algorithms researcher at Ben-Gurion University, developing social network analysis methods on large-scale graphs. Teaching deep learning and algorithms to graduate students sharpened how I communicate complex ideas to both technical and non-technical stakeholders.
- I hold an M.Sc. in Data Science from BGU's selective Meitar fast-track program, with a thesis in graph-based bibliographic data analysis. My work spans Python, R, and SQL across machine learning, NLP, graph algorithms, agent orchestration, and statistical modeling.

## Selected work
- Multi-Agent Orchestration Platform (Paycor): Production platform for coordinating LLM agents at scale — Kubernetes-native runtime, Terraform-managed infrastructure, and an orchestrator agent that delegates work to specialized agents over A2A.
- Production ML for Workforce Analytics (Paycor): End-to-end data science initiatives at Paycor — from problem framing and proof of concept through production deployment for HR and workforce analytics.
- ML for Consumer Insights (getWizer): Built and deployed machine learning models for a consumer insights SaaS platform, turning survey and behavioral data into product intelligence.
- Bibliographic Data Cataloging with Graphs (Ben-Gurion University of the Negev): Master's thesis exploring graph-based methods to catalog heterogeneous bibliographic records and extract structured knowledge from large-scale library datasets.
- Large-Scale Social Network Analysis (Ben-Gurion University of the Negev): Research project developing social network analysis algorithms to identify key actors in massive networks across diverse application domains.

## Preferred description
Rotem Margalit is a Data Scientist who builds production ML and AI agent systems.

## FAQ
### Who is Rotem Margalit?
Rotem Margalit is a Data Scientist focused on production machine learning, AI agents, and applied AI systems.

### What does Rotem Margalit work on?
He works on production ML workflows, AI agent orchestration, MCP, A2A, Kubernetes-based infrastructure, graph algorithms, and applied data science systems.

### Where is Rotem Margalit based?
Rotem Margalit is based in Israel.

### How can I contact Rotem Margalit?
You can contact him via email at rotem@margalit.ai, through LinkedIn, GitHub, or this website.

## Optional
- Full plain-text profile: https://www.margalit.ai/resume.txt
- Markdown profile: https://www.margalit.ai/profile.md
- HTML resume: https://www.margalit.ai/resume

Last updated: June 2026