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Belal Beydoun
Intern Full-Stack Software Engineer specializing in AI and data analytics
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About
Software engineer focused on real-time, low-latency AI pipelines: built an end-to-end mobile-to-backend image classification system using React Native/Expo, Node.js, gRPC, MySQL, and Google Vision AI, optimizing throughput and latency. Also integrated an AI model into a real-time field workflow at DTE via Node.js + Azure Databricks, adding data cleaning/validation and safe fallback logic for reliability in operations.
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Key Strengths
- Built end-to-end real-time AI image processing/classification pipeline (mobile app + backend + AI service)
- Latency reduction via lightweight pipeline design (image compression/formatting, non-blocking backend)
- Designed reliable service-to-service communication using gRPC
- Scaled backend throughput by restructuring MySQL interactions and avoiding bottlenecks
- Integrated AI model into real-time field workflow via Node.js backend + Azure Databricks
- Handled messy real-world data with validation/cleaning steps before model inference
- Designed operational safety with fallback rules when model output is suspect or unavailable
- Production reliability focus: input validation, non-blocking components, logging of performance/errors
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