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Tahar Meftah

@taharmeftah

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Experienced staff software engineer specializing in scalable systems and AI.

United States

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What I'm looking for

I am seeking a challenging role in a collaborative environment where I can leverage my skills in software engineering and AI technologies to drive innovation and efficiency.

As a Staff Software Engineer with over a decade of experience, I have a proven track record of designing and implementing scalable systems that enhance operational efficiency and drive business growth. At Seamless.AI, I led the development of a tenant-isolated data ingestion system, integrating millions of records daily while ensuring security and performance. My work on high-concurrency microservices in Go significantly reduced latency and improved data accuracy, showcasing my ability to leverage cutting-edge technologies to solve complex problems.

Previously, as a Senior Software Engineer at Amazon, I designed a recommendation engine that processed millions of user interactions in real-time, resulting in a substantial increase in transaction completion rates. My collaborative approach with cross-functional teams has enabled me to deliver responsive user interfaces and optimize backend services for high availability. I am passionate about mentoring junior developers and fostering a culture of continuous improvement and innovation.

Experience

Work history, roles, and key accomplishments

Current

Staff Software Engineer

Current

Seamless.AI

Sep 2019 - Present (5 years 11 months)

Led the design and development of a tenant-isolated data ingestion system using SpringBoot, TypeScript, and AWS RDS to securely integrate with external sources, syncing millions of contact/company records daily. Architected high-concurrency microservices in Go (Gin, gRPC) for real-time contact and company data queries, leveraging goroutines and channels to reduce Prospector latency by 35% and scal

Spring Boot TypeScript AWS RDS Go)Gin gRPC Microservices Kafka Datadog)Python fastAPI RAG React D3.Js Docker Kubernetes PostgreSQL Jest Pytest Minitest

Senior Software Engineer

Amazon

Apr 2013 - Present (12 years 4 months)

Designed and implemented a scalable recommendation engine subsystem using Java and Spring Boot, deployed on AWS EC2/ECS, enabling real-time processing of millions of user interactions for Amazon’s product recommendation system. Developed core checkout workflow features, including payment processing and order validation, using AngularJS and Bootstrap for the frontend, driving a 60% increase in tran

Java Spring Boot AWS EC2 AWS ECS AngularJS Bootstrap Python Flask RESTful APIs AWS IAM OAuth AWS S3 AWS Lambda DynamoDB A B Testing

Education

Degrees, certifications, and relevant coursework

University of California, Berkeley

Master's degree, Computer Science

2011 - 2013

Completed a Master's degree in Computer Science, focusing on advanced topics and research within the field. Gained in-depth knowledge and specialized skills in various computer science domains.

University of California, Berkeley

Bachelor's degree, Computer Science

2007 - 2011

Obtained a Bachelor's degree in Computer Science, building a strong foundation in programming, algorithms, and data structures. Developed core competencies essential for software development and problem-solving.