Nabil Bensrhier

• Led the implementation of microservices using Hexagonal Architecture, supporting gradual decomposition of monolith systems. • Introduced Hazelcast caching, reducing response times by 40% during peak loads. • Developed and maintained batch microservices for complex data migration across distributed services. • Enhanced CI/CD pipelines with SonarQube, Bitbucket Pipelines, and OpenShift for automated testing and secure deployments. • Actively contributed to platform hardening and monitoring using New Relic and GCP-native tools. • Collaborated on internal tooling and Python refactors for reusability across teams.

• Designed and shipped 15+ scalable REST APIs in Java (Spring Boot) and FastAPI, enabling modular microservices. • Improved throughput of Kafka consumers handling over 1M events/day, ensuring data reliability. • Integrated Elasticsearch and Redis for fast and consistent querying across product catalogs. • Championed observability practices using New Relic and Grafana dashboards in a GKE/Kubernetes environment. • Participated in architecture reviews, testing strategies, and post-deployment monitoring of services.

• Developed backend APIs using Python (FastAPI), Node.js, and Spring Boot for a multi-tenant booking system. • Built secure user flows with Firebase Auth, improving sign-in reliability and experience. • Deployed containerized apps on Docker with lightweight CI/CD pipelines.

• Engineered real-time voice features using Python, WebSockets, and Twilio Voice, enhancing conversational UX. • Integrated GPT-2 models and NLP features for voice-to-text enrichment with custom Python pipelines. • Deployed Python-based services on GCP App Engine, improving reliability and scalability.

• Built high-volume web scrapers for Amazon data aggregation using Python and BeautifulSoup. • Developed keyword ranking tools using NLTK and custom analytics for SEO. • Scheduled ETL pipelines using Airflow to sync daily price fluctuations.