
Assaad El Halabi
Senior Backend and DevOps Engineer with 5 years of experience
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Sobre
Senior Backend and DevOps Engineer with 5+ years of experience building scalable backend services, distributed systems, and cloud infrastructure using Python, Node.js, TypeScript, and AWS. Experienced in API design, CI/CD, workflow optimization, and complex system integrations across healthcare automation and aviation platforms.
Experiência
Forward Deployed Engineer at Smarter Technologies (Thoughtful AI) (2025-07 – 2026-04)
- Engineered custom backend solutions for complex healthcare workflows, including API orchestration and secure data transfer.
- Deployed Node.js/Python microservices on AWS (ECS, Lambda, API Gateway) for Butterfly Effects and SportsCare.
- Designed LLM-powered automation pipelines cutting manual revenue cycle intervention by 70%+ across client deployments.
- Translated client healthcare operations into parallel and concurrency-safe backend services.
- Led HIPAA-aware end-to-end deployments from code to delivery, handling configuration, troubleshooting, and optimization.
Software Engineer III at Oreyeon (2022-07 – 2025-07)
- Engineered robust containerized Node.js/Python microservices, achieving 99.9% SLA and reducing time-to-insight by 85%.
- Designed AWS microservices using Lambda, API Gateway, S3, RDS, Docker, and Step Functions.
- Implemented batch and sharding-aware database access patterns.
- Automated 90%+ of manual batch-handling tasks via reusable microservices, cutting operational overhead by over 80 hrs/month.
- Built end-to-end CI/CD pipelines with GitHub Actions and AWS CodePipeline—reduced deployment lead time by 60%.
- Implemented CMMC Level 1 and 2 compliances across backend systems and cloud infrastructure.
- Built a platform that accelerated team operations like batch assignment (20 min → 35 s), payment calculations (1 hr → 39 s).
- Collaborated cross-functionally with product, ML, and ops teams to maintain 99.9% uptime for airport-critical applications.
Software Engineer at American University of Beirut (AUB) (2021-01 – 2021-06)
- Contributed to Khaddit Beirut initiative: automated data pre-processing and visualization pipelines in Python.
- Developed a custom Django dashboard to explore blast-impact datasets, enabling dynamic filtering and geospatial insights.
Formação
MS in Computer Science – American University of Beirut (AUB) (2021-09 – 2024-02)
BS in Computer Science – American University of Beirut (AUB) (2018-09 – 2021-06)





