Alireza Esfahani
Hi, I’m Alireza Esfahani, a software engineer with a degree in Computer Software Engineering from Mazandaran University of Science and Technology.
About
Hi, I’m Alireza Esfahani, a software engineer with a degree in Computer Software Engineering from Mazandaran University of Science and Technology. I’ve contributed as a Technical Lead at a healthcare startup, specializing in B2B solutions, leveraging AWS serverless architecture and .NET Core to boost performance. I also developed applications with Python and Next.js to optimize healthcare processes, and I’ve led a team of 12 developers in designing event-driven architectures using Python, Celery, and AWS for large-scale data processing and visualization. I created CI/CD pipelines with a canary deployment strategy on AWS to streamline software updates and cloud automation.
My work spans cloud-native development, serverless architectures, and data processing pipelines, with a track record of collaborating across disciplines to deliver scalable software. I’m excited to apply my hands-on experience in AWS, Python, .NET, and modern frontend stacks to build impactful solutions in dynamic teams.
- Joined November 2025
Languages
- PersianFluent
- EnglishAdvanced
Industry experience
- Healthcare
- Software & Internet
- Professional Services
Work experience· 11 roles
Led technical strategy and B2B healthcare solutions; leveraged AWS serverless architecture and .NET Core to boost performance; developed Python and Next.js applications to optimize healthcare processes; guided a team of 12 developers; designed event-driven architectures using Python and AWS services; implemented CI/CD with canary deployments for seamless updates.
Remote leadership of a 12-person team building serverless data processing and visualization solutions; designed and maintained event-driven architecture with Python, Celery and AWS for processing 500GB daily; built CI/CD pipeline with canary deployment.
Designed and developed scalable, AI-enhanced data pipelines on AWS with serverless services; wrote efficient Python for Lambda to process and integrate large datasets; built event-driven architectures that processed over 15TB of data; delivered cloud-native solutions in Agile sprint cycles.
Education
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