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Tahar Meftah

@taharmeftah2

Staff Software Engineer specializing in scalable distributed systems and LLM-powered pipelines.

United States
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What I'm looking for

I'm seeking senior engineering roles building cloud-native data and AI systems — leading architecture, shipping LLM-powered features, mentoring teams, and improving observability and reliability in product-driven companies.

I am a staff software engineer specializing in scalable distributed systems, real-time data pipelines, and LLM-powered applications. I focus on building high-availability cloud-native services that deliver measurable business outcomes.

I led tenant-isolated data ingestion systems and high-concurrency microservices that reduced latency by 35%, cut MTTR by 40%, and scaled permission-aware lookups across 1.3B+ records. I built RAG-based Pitch Intelligence and productionized LLM enrichment pipelines that reduced manual prospect research by 40% and increased engagement by 25%.

I previously architected recommendation and checkout systems at Amazon to improve transaction completion and scalability. I enjoy mentoring engineers and partnering across product and design to deliver reliable, user-focused systems.

Experience

Work history, roles, and key accomplishments

Seamless.ai logoSE
Current

Staff Software Engineer

Sep 2019 - Present (5 years 11 months)

Led design and development of a tenant-isolated data ingestion system that synced millions of contact and company records daily and reduced Prospector latency by 35% via high-concurrency Go microservices. Implemented observability and RAG-based Pitch Intelligence, lowering MTTR by 40% and cutting manual prospect research time by 40% while increasing engagement by 25%.

Amazon logoAM

Senior Software Engineer

Apr 2013 - Sep 2019 (6 years 5 months)

Designed and implemented scalable recommendation and checkout subsystems using Java and Spring Boot on AWS, enabling real-time processing of millions of interactions and driving a 60% increase in transaction completion rates. Optimized autoscaling, event-driven workflows, and storage to improve responsiveness by 30%, reduce manual seller processes by 40%, and support 2x concurrent user load during

Education

Degrees, certifications, and relevant coursework

UB

University of California, Berkeley

Master of Science, Computer Science

2011 - 2013

Completed Master of Science in Computer Science at the University of California, Berkeley from 2011 to 2013.

University of California, Berkeley logoUB

University of California, Berkeley

Bachelor of Science, Computer Science

2007 - 2011

Completed Bachelor of Science in Computer Science at the University of California, Berkeley from 2007 to 2011.

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Tahar Meftah - Staff Software Engineer - Seamless.ai | Himalayas