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Yogev Sarel

@yogevsarel

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Senior technology leader specializing in GenAI systems and engineering architecture.

France

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What I'm looking for

I seek senior technical leadership roles building GenAI platforms and production ML systems, in collaborative, product-focused teams that value automation, scalability, and measurable business impact.

I am a senior technology leader and consultant with over 11 years building production-grade data analysis platforms and AI solutions. I specialize in LLM orchestration and transforming complex manual workflows into automated, agentic systems.

At RedStrings I architected a self-learning multi-agent platform using OpenAI's API and designed Human-in-the-Loop RLHF mechanisms to fine-tune models for niche financial data, significantly improving accuracy.

I have full-stack experience implementing backend services in Python (Flask), frontend interfaces in React/TypeScript, high-performance Postgres schemas and Neo4j graph structures, and multi-regional cloud architectures leveraging AWS Lambda and Kubernetes.

I recruit and lead remote engineering teams, establish code standards and CI/CD pipelines, and deliver measurable impact—such as reducing client reporting time from eight hours to under one—while maintaining regulatory fidelity.

Experience

Work history, roles, and key accomplishments

Consultant & Lead Architect

RedStrings

Jun 2019 - Nov 2025 (6 years 5 months)

Architected and delivered a self-learning multi-agent GenAI platform with RLHF human-in-the-loop fine-tuning, built full-stack services (Python Flask, React/TypeScript), and designed ISO-standard multi-regional AWS infrastructure to productionize AI for financial clients, reducing client reporting time from 8 hours to under 1 hour.

OpenAI API Python React Postgres Neo4j AWS CI CD

Senior Software Engineer

Payoneer

Sep 2015 - Jun 2019 (3 years 9 months)

Led engineering for the Risk Department, scaling from sole developer to a 4-person team supporting 100+ data scientists, productionized ML models into Python services, and built a high-throughput case management and risk database handling millions of transactions.