Mustapha Abdulsamad
@mustaphaabdulsamad
Senior backend engineer focused on scalable commerce systems and reliable architecture.
What I'm looking for
I build dependable backend systems with an emphasis on impact and integrity. I ask questions, listen carefully, and work to improve what I inherit—then prove it through performance, reliability, and testing.
At Pinterest, I architected subscription checkout flows in Ruby on Rails for high-volume commerce transactions, optimizing SQL queries to reduce response times. I refined PostgreSQL data models for global shopping at scale, partnered with frontend teams to integrate microservices for product discovery and account management, and owned Redis caching strategies for stage-based content delivery. I also iterated on Docker container orchestration and CI/CD pipelines to accelerate deployment velocity without sacrificing quality, championed automated testing across backend services, and mentored engineers on secure, reliable backend practices.
Previously at Meta, I optimized Python backend services for ads platforms by building scalable data models for analytics workflows and maintaining performant queuing systems for real-time business tool updates. I implemented caching layers to reduce latency in critical data retrieval paths, helped raise API development technical standards across service boundaries, and improved CI/CD to support faster iteration while meeting strict security and quality requirements. Earlier at IBM, I built foundational security-domain backend components using Python and SQL for access controls and monitoring, designed microservices with Docker for isolation and fault tolerance, integrated automated testing into development workflows, and tuned backend queries for high-volume security event processing.
Experience
Work history, roles, and key accomplishments
Architected subscription checkout flows in Ruby on Rails for high-volume commerce, optimizing SQL to reduce response times and designing PostgreSQL data models for global scale to millions of users. Integrated microservices with frontend teams, improved throughput via tool evaluation, and owned Redis caching plus CI/CD and automated testing to keep reliability high.
Optimized backend ads-platform services using Python and internal integration systems, building scalable data models for analytics over large user-interaction datasets. Improved message queuing performance, implemented caching to reduce latency, and standardized APIs and CI/CD to accelerate delivery while maintaining security and quality bars.
Built foundational backend security platform components with Python and SQL, designing data models for secure storage, access controls, and monitoring. Developed isolated Docker-based microservices, integrated automated testing, tuned high-volume event-processing queries, and collaborated on APIs for secure data exchange between platform modules.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor of Arts, Mathematics and Computer Science
2014 - 2018
B.A. in Mathematics and Computer Science at the University of California, Berkeley from 2014 to 2018.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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