Omar Jabloun

Software Engineer

About Me

I'm a passionate Software Engineer with a strong background in full-stack development, AI/ML, and cloud technologies. I recently graduated with a Master's degree in Software Engineering from the National Institute of Applied Science and Technology (INSAT) in Tunis, Tunisia.

With experience in developing microservice-based architectures, implementing AI-driven solutions, and managing cloud deployments, I strive to create efficient and scalable software solutions. I'm always eager to take on new challenges and contribute to innovative projects.

Work Experience

Crewmeister GmbH

May 2025 - Expected Nov 2025 | Munich, Germany

Engineered event-driven microservices (subscription lifecycle, shift planning, holiday management) for 17,000+ SMBs. Implemented cloud-native services on AWS using Java, Spring Boot, and Kafka. Drove developer velocity initiatives, including a Node.js CLI cutting boilerplate by 70%.

Stack: Java, Spring Boot, Kafka, AWS, GitLab CI/CD, Cucumber, Kubernetes

AS Solutions

Jan 2024 - Nov 2024 | Remote - Paris, France

Led backend development for 5+ insurance platforms (premium calculations, payment processing), increasing client subscriptions by 60%. Engineered a custom pricing engine to cut product development time by 80%.

Stack: Express, Prisma, PostgreSQL, tRPC, Docker, Azure, Agile/Scrum, Azure DevOps

GoMyCode

Nov 2022 - Nov 2023 | Tunis, Tunisia

Spearheaded a Talent Acquisition platform, reducing hiring time by 30%. Integrated automated assessments, enhancing processing efficiency by 50%. Managed and optimized the Azure-based backend for high performance.

Stack: .NET 6, C#, Neo4j, Azure DevOps, Clean Architecture, Agile/Scrum, Jira

Education

Master of Science in Software Engineering

National Institute of Applied Science and Technology (INSAT) | Sep. 2020 - Oct. 2025 (Expected)

Relevant Coursework

Data Structures & Algorithms
OOP
Design Patterns
Distributed Systems
AI/ML
Deep Learning
DevOps
Web Frameworks (.NET/Angular/NestJS)

My Projects

Loan Management Microservice Application

Developed a microservice-based loan management application featuring services like Commercial Service and Client App. Utilized Kafka for inter-service communication and PostgreSQL for data persistence.

KafkaPostgreSQLMicroservices

View on GitHub

Social Media-Based Mental Health Disorder Detection

Trained a multi-label classifier (CNN, BiLSTM) and fine-tuned BERT/RoBERTa, achieving 94% accuracy in detecting mental health disorders from Reddit data.

PythonPyTorchBERT

Distributed Big Data Processing

Implemented a distributed pipeline using Apache Kafka, Airflow, Hadoop, and Spark for customer purchase analysis, enabling real-time/batch data processing with Grafana dashboards.

Apache KafkaAirflowHadoop