Alpha Diallo
js backend developer based in Montréal, QC, with over 2 years of experience in microservices architecture and Cloud & DevOps practices on AWS.
About
I am a dynamic Node.js backend developer based in Montréal, QC, with over 2 years of experience in microservices architecture and Cloud & DevOps practices on AWS. I have built scalable applications, managed deployment processes, and ensured security compliance for sensitive data. I led a team to handle 10,000+ daily API requests with 99.9% uptime, and I am passionate about turning complex challenges into practical solutions.\n\nI thrive on collaborating with cross-functional teams to deliver innovative solutions and improve operational efficiency. I enjoy applying best practices in CI/CD, security, and performance tuning to help organizations move faster while keeping systems reliable and secure.
- 2 years' experience
- Joined January 2026
Skills· 15
Languages
- FrenchFluent
- EnglishFluent
- ChineseFluent
Industry experience
- Software & Internet
- Healthcare
- Professional Services
Work experience
Spearheaded the technical development of an AI-powered addiction recovery platform tailored for families nationwide. Orchestrated a cross-functional team of 4 engineers to design and deploy a comprehensive digital health platform that integrates AI prescription engines, CRAFT therapy modules, and real-time support services. Engineered scalable microservices infrastructure using Node.js and RESTful APIs to handle over 10,000 daily requests with 99.9% uptime. Implemented secure authentication and data privacy systems to ensure HIPAA compliance, safeguarding health information for over 1,000 users.
Contributed to the Yizhibo live streaming platform by developing high-performance microservices with Java Spring Boot and Node.js/TypeScript, achieving a 15% performance improvement through code optimization and database query tuning. Designed and implemented RESTful APIs supporting over 100,000 concurrent users with scalable, low-latency responses (average ~200 ms). Built real-time streaming features using WebSockets and RabbitMQ, enabling smooth interactions between content creators and audiences. Deployed containerized applications on AWS using Docker and Terraform, creating auto-scaling infrastructure that reduced operational costs by ~25%.
Python-based web scraping tools using BeautifulSoup and Selenium to automate data collection from over 50 sources, reducing manual effort by 80%. Built data processing pipelines and visualization dashboards with Pandas and Matplotlib, supporting data-driven marketing decisions. Implemented automated reporting producing weekly insights for stakeholders, accelerating response to market trends by 40%.
Education
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