Assane Lo
Full-Stack Software Engineer
Transforming complex problems into scalable solutions
Technical Expertise
Design and build robust full-stack applications from conception to deployment
- Java / Spring Boot & Python / Django microservices
- React frontend with modern TypeScript
- RESTful APIs and service integration
- 4+ years production experience
Build data pipelines and analytics solutions that drive business decisions
- ETL pipeline development and optimization
- Power BI & Google Analytics integration
- Database design (PostgreSQL, MySQL, MongoDB)
- Real-world impact: 1.5x performance improvement
Automate deployment and scale infrastructure across multiple cloud platforms
- Multi-cloud experience: AWS, GCP, Azure
- CI/CD pipelines with Jenkins
- Docker, Kubernetes orchestration
- Infrastructure as Code (Terraform, Ansible)
Ensure reliability through comprehensive testing and automation
- Unit & integration testing (JUnit, Jest, Selenium)
- Automated validation tools development
- Code documentation and best practices
- 80%+ test coverage on production code
Professional Experience
Information Systems Technician
Centre Pneumatique de Dakar
Dakar, Senegal
The Challenge
Maintain and modernize legacy information systems while enabling data-driven decisions for operations
My Solution
- Designed and implemented ETL pipelines to centralize data for reporting
- Built monitoring and analytics dashboards using Power BI
- Automated system configuration validations and deployment tasks
Results & Impact
- 1.5x performance improvement in reporting workflows
- Reduced manual validation time by 70%
Education
Master's Degree in Software Engineering
Currently EnrolledUniversité du Québec à Montréal (UQAM)
Montreal, Quebec, Canada
- ▹Research focus: Distributed systems, large-scale data processing, and cloud-native architectures
- ▹Thesis: "Optimization of microservice orchestration in hybrid cloud environments"
- ▹Advanced coursework in software quality, security, and modern DevOps practices
Featured Projects
Smart Meter Analytics Platform
Real-time electrical production prediction system
The Challenge
Need for real-time analysis and prediction of electrical production with scalable architecture
My Solution
- Microservices architecture with Spark ML for predictive analytics
- Real-time data pipeline with RabbitMQ messaging
- Monitoring dashboard with Grafana and Prometheus
- Containerized deployment with Docker
Results & Impact
- Real-time ML predictions with sub-second latency
- Scalable architecture handling 10k+ events/sec
- Automated monitoring and alerting system
Tech Stack
Let's Build Something Amazing
Looking for a developer who can create high-performance, interactive web experiences?