Takwa S.

About Takwa S.

I build and scale backend systems that stay fast, reliable, and easy to operate — and increasingly, AI-augmented without sacrificing correctness or security.With 6+ years of experience in backend and cloud engineering, I’ve designed and delivered distributed systems focused on performance, scalability, and operational excellence. My work spans Java/Spring Boot microservices, event-driven architectures, and cloud-native platforms across AWS and Google Cloud.Recently, I’ve been integrating LLM-powered automation into backend workflows — building grounded AI copilots and CI/CD assistants where backend services remain the single source of truth, and AI is used strictly for reasoning, summarization, and user interaction (never for executing business logic).Highlights Designed and deployed Java/Spring Boot services with sub-200 ms latency Improved system performance by 55% via caching, query tuning, and observability Automated CI/CD pipelines with GitHub Actions and Jenkins, sustaining 99% uptime Integrated Kafka for asynchronous workflows and scalable event processing Built LLM-assisted backend tools with strict authorization, data boundaries, and deterministic behaviorI’m passionate about system design, distributed architectures, observability, and DevOps automation, with a growing focus on responsible AI integration in production systems. Open to Backend, Platform, or Cloud Engineering roles (SF Bay Area + Remote US) where reliability, scale, and real-world impact matter.Keywords:Java • Spring Boot • Backend Engineering • Distributed Systems • Kafka • AWS • Google Cloud (GKE) • Docker • Kubernetes • CI/CD • Observability • Prometheus • Grafana • LLM Integration • AI Copilots • System Design • DevOps

Experience

1. Software Engineer

   It4it

   Apr 2023 — Present · San Francisco, CA, US

   Designed and developed microservices-based ERP and CRM systems, achieving sub-200 ms response times on critical APIs through profiling, query tuning, and Redis caching-Improved overall system performance by 55 % via targeted caching, load balancing, and database optimization, enhancing user experience and throughput-Automated CI/CD pipelines using Jenkins and GitHub Actions, reducing release cycle time by 40 % and maintaining 99 % deployment uptime-Integrated Kafka for asynchronous event-driven messaging, streamlining inter-service communication across multiple domains-Mentored junior developers, led code reviews, and enhanced documentation practices to ensure maintainability and team scalability.

Education

• Université de Technologie de Troyes

  Master's in System optimization

• ENSI - Ecole Nationale des Sciences de l'Informatique

  Master's degree, Computer Sciences

  2011 — 2014