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Built an intelligent document processing pipeline for engineering deliverables at a national engineering & environmental consulting firm — classification, extraction, and review workflows that turned unstructured PDFs and reports into structured, searchable data. Deployed on Azure with human-in-the-loop review, aligned to CMMC/NIST requirements.
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Proud to officially add the AWS Certified Machine Learning Engineer - Associate certification to my toolkit!
Building robust machine learning pipelines and scaling AI workloads securely on the cloud has always been a key focus of mine. Earning this certification has been a great deep-dive into mastering AWS ML infrastructure, MLOps best practices, and production-grade architectures.
Ready to bring these advanced capabilities to upcoming data science and engineering projects! Let's build something impactful. 💡💪
🔗 Verify Certificate:
Validation Number: 74c5808986a64b84addcaa9db725b8bd
Verification Link: https://aws.amazon.com/verification
#AWS #MachineLearning #AI #CloudComputing #DataAnalysis #MLOps
Congratulations on earning the AWS Machine Learning Engineer certification, Hazem khaled! Robust pipelines and cloud automation make all the difference for production-grade AI systems.
Connecting order intake to the vendor workflow.
This TechFoundry IMS demo shows a purchase order feeding a vendor order, followed by date checks, vendor notification, and planning updates. A practical example of the AI and automation workflows we build into business software.
Watch the vendor order demo:
https://www.youtube.com/watch?v=vASYJhdLpZw
#AI #Automation #SoftwareDevelopment #Procurement
Great demo Zahid! Connecting order intake to vendor workflow with PO feeding vendor order + date checks + notification + planning updates - that's a solid practical flow! Love how you show AI & automation actually working inside business software, not just theory!
