Amir Behbehani

AI Engineer @ memra | AI Research 🔬 Scientist | Previous exits to Google + Meta

United States

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Updated 10 months ago

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16+

Years Experience

Roles

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Education

About

At Memra, I lead both the vision and development of AI-powered digital employees—more advanced than traditional agents. Our digital employees are trained to handle entire jobs, going beyond task automation to deliver fully integrated solutions that evolve with business needs. Built with Large Action Models (LAMs), strategic problem-solving systems, and adaptive technologies like knowledge graphs and vector databases, they reduce reliance on external vendors and drive operational efficiency. In parallel, I’m building partnerships with recruiting companies to broaden access to our AI-driven workforce, empowering businesses with a next-generation solution for scaling operations. Previously, at Serial Metrics, I developed IP solutions for startups, enabling growth and strategic exits—insights I now apply to Memra’s innovation and expansion.

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Experience (20 roles)

AI Engineer

Current

memra

Jul 2023 - Present · 2 yrs

I lead the design and delivery of autonomous, agentic AI systems that transform revenue-critical workflows into end-to-end “digital employees.” Our platform goes well beyond point-tool automation: 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 Architected a master-agent framework that dynamically spawns s...

AI Research Scientist (Advisory Role)

Levo

Nov 2022 - Jun 2023 · 8 mos·San Francisco Bay Area

In an advisory role with Levo, I achieved the following key milestones: • LevoSearch Creation: Spearheaded the development of a natural language query engine to enhance user experience and streamline data access for healthcare professionals. • Technical Leadership: Led a team and coded a C++ data pi...

Principal AI Research Scientist, Research and Innovation

Leaf Logistics

Jan 2020 - Aug 2022 · 2 yrs 8 mos

Helped define a forward derivatives model that doubled freight market liquidity and reduced deadweight- loss by 50%, optimizing pricing and network efficiencies for the freight logistics industry. • Employed machine learning techniques (SVMs, Random Forests, and GBT) to analyze transportation data a...

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Education (1)

Stanford University

Skills (33)

JavaScriptRAGTopic ModelingWearable ComputingPostgreSQLPHPFast Fourier TransformEDFDeep LearningGraph DatabasesVector DBCRMPHPPostgreSQLJavaScriptPythonMySQLCloudJavaKubernetesMicroservices ArchitectureLinkedInEventbritePandasscikit-learnCredit Risk ManagementMachine VisionBankingSales OperationsC++ SalesforceRandom ForestRecurrent Neural Networks (RNN)

Certifications (2)▼

PowerCenter

Informatica

SAS Certified Predictive Modeler Using SAS Enterprise Miner 14

SAS

Publications (2)▼

How to Leverage Machine Learning for Your Business

Business Collective

An Essential Big-Data Checklist For The Rest Of Us

Forbes · Aug 3, 2015