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Rotem Margalit

Data Scientist · Production ML · Multi-Agent Systems · A2A & MCP

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.

Currently, Rotem Margalit works as a Data Scientist at Paycor.

Building AI systems that ship — from multi-agent orchestration and production ML to research and prototype.

Center District, Israel

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.

What I do

Teaching and Mentoring

Experience

Data Scientist at Paycor

Jan 2023 — Present · Center District, Israel

  • Built production multi-agent infrastructure on Kubernetes and Terraform — an orchestrator agent coordinates specialized sub-agents via the Agent-to-Agent (A2A) protocol.
  • Integrated Model Context Protocol (MCP) servers as standardized tool and context surfaces for agent workflows.
  • Own end-to-end data science and AI initiatives — from problem framing and PoC through production deployment.
  • Design and ship AI-driven solutions for complex HR and workforce analytics at scale.

Data Scientist at getWizer

Jan 2021 — Oct 2022 · Herzliya, Israel

  • Built and deployed ML models powering a consumer insights SaaS platform used by global brands.
  • Delivered end-to-end pipelines spanning experimentation, modeling, evaluation, and production integration.
  • Turned raw survey and behavioral data into actionable product intelligence for marketing teams.

Algorithms Researcher at Ben-Gurion University of the Negev

Oct 2018 — Oct 2020 · Be'er Sheva, Israel

  • Developed social network analysis algorithms on large-scale graph data to identify influential nodes across multiple application domains.
  • Implemented high-performance solutions in D, Python, and R.

Teaching Assistant & Tutor at Ben-Gurion University of the Negev

2017 — Oct 2020 · Be'er Sheva, Israel

  • Faculty member for graduate-level Deep Learning — feed-forward networks, CNNs, and LSTMs for NLP.
  • Assisted with Foundations of Algorithms and Complexity — reductions, complexity analysis, and algorithm design.
  • One-on-one tutoring for Data Structures, mentoring students through core CS fundamentals.

Selected Work

Multi-Agent Orchestration Platform

Paycor · Jan 2023 — Present

What it is: 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.

Technologies: A2A, MCP, Kubernetes, Terraform, Multi-Agent

  • Designed the agent topology: orchestrator dispatches tasks to domain-specific agents via Agent-to-Agent (A2A) messaging.
  • Provisioned and managed infrastructure with Terraform; deployed agent services on Kubernetes.
  • Exposed external tools and data sources to agents through Model Context Protocol (MCP) server integrations.

Production ML for Workforce Analytics

Paycor · Jan 2023 — Present

What it is: End-to-end data science initiatives at Paycor — from problem framing and proof of concept through production deployment for HR and workforce analytics.

Technologies: Production ML, HR Analytics, Python

  • Own initiatives across the full ML lifecycle, from PoC to production.
  • Design and ship AI-driven solutions for complex HR and workforce analytics at scale.
  • Partner with product and engineering teams to integrate models into live business workflows.

ML for Consumer Insights

getWizer · Jan 2021 — Oct 2022

What it is: Built and deployed machine learning models for a consumer insights SaaS platform, turning survey and behavioral data into product intelligence.

Technologies: SaaS, ML Pipelines, Python

  • Developed ML models powering a platform used by global brands.
  • Delivered end-to-end pipelines spanning experimentation, modeling, evaluation, and production integration.
  • Transformed raw survey and behavioral data into actionable intelligence for marketing teams.

Bibliographic Data Cataloging with Graphs

Ben-Gurion University of the Negev · 2018 — 2020

What it is: Master's thesis exploring graph-based methods to catalog heterogeneous bibliographic records and extract structured knowledge from large-scale library datasets.

Technologies: Graph Algorithms, Data Science, Python

  • Designed graph-based cataloging methods for bibliographic data.
  • Extracted structured insights from large bibliographic datasets.

Large-Scale Social Network Analysis

Ben-Gurion University of the Negev · Oct 2018 — Oct 2020

What it is: Research project developing social network analysis algorithms to identify key actors in massive networks across diverse application domains.

Technologies: SNA, Python, R, D

  • Built SNA algorithms for large-scale graph data.
  • Implemented solutions in D, Python, and R.
  • Benchmarked across diverse real-world graph datasets.

Skills

Languages

Python, R, SQL

ML & AI

Machine Learning, Deep Learning, NLP, Multi-Agent Systems, PyTorch, scikit-learn

Agent Systems

Agent-to-Agent (A2A), Model Context Protocol (MCP), Agent Orchestration, LLM Agents

Infrastructure

Kubernetes, Terraform, Data Automation, A/B Testing

Specializations

Graph Algorithms, Social Network Analysis, Production ML

Education

M.Sc., Data Science

Ben-Gurion University of the Negev · 2018 — 2020 · Meitar fast-track program

Meitar fast-track program for outstanding students, Department of Industrial Engineering. Thesis: graph-based cataloging of bibliographic data and extraction of structured insights at scale.

B.Sc., Industrial Engineering and Management

Ben-Gurion University of the Negev · 2015 — 2019

Information Systems specialization — combining engineering rigor with data-driven decision making.

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.

Contact

Last updated: June 2026