Description

Senior Backend Engineer with 5+ years building high-throughput, real-time systems for enterprise and mission-critical platforms.

I specialize in distributed systems, event-driven, data-intensive, and performance-critical backends, with experience processing 5,000+ events/sec using Kafka & Flink and designing systems with sub-100ms latency.

I focus on business outcomes: reducing latency, increasing reliability, and scaling systems without unnecessary complexity or cost. Comfortable working with remote EU teams and owning systems end-to-end.

Industry field of expertise

Languages

English
Native or bilingual
French
Fluent

Workplace preferences

Remote only

Primarily works remotely

Additess
Senior Backend Engineer
February 2023 - Today (3 years and 5 months)
Designed and led real-time surveillance and AI-driven platforms processing 5,000+ events/sec with sub-100ms latency using Kafka & Flink.

Built production-grade backend systems in Go, improving latency by 70% and reducing delivery time by 50% through better architecture and observability.
Event-driven architecture Apache Kafka flink Python FastAPI
Norsys
R&D Engineer
January 2022 - February 2023 (1 year and 1 month)
300k+ customers, 10k+ daily transactions. Built and scaled backend services in Java (Spring Boot) for a large marketplace platform.

99.95% uptime, sub-200ms APIs. Designed reactive services with Spring WebFlux, implementing rate limiting, circuit breakers, and fault tolerance.

+40% user satisfaction. Improved review and moderation workflows using PostgreSQL and Hibernate, increasing engagement and submission rates.
Java Spring boot PostgreSQL Spring Security Microservices
Aowarai
Software/AI Developer
August 2021 - January 2022 (5 months)
+100% CTR. Designed and implemented a recommender system using Java and Spring Boot, leveraging Apache Mahout, Spark, Elasticsearch, and MongoDB to personalize user interactions at scale.

40% → 75% on-time delivery. Built an optimization-based routing system to determine optimal delivery routes and driver allocation, significantly improving logistics efficiency.
Apache Spark AWS Apache Mahout Elasticsearch MongoDB