Inzamam Iqbal
Machine Learning Engineer II at Amazon
United States
Summary
👤
Senior🎓
Top SchoolInzamam Iqbal is a Machine Learning Engineer II at Amazon with a decade of hands-on experience building production ML systems, data pipelines, and scalable backend services. He designed and deployed open-vocabulary image segmentation models handling over 100M inferences per week and has deep experience with Spark-based end-to-end pipelines for analytics, training, and inference. His background spans software engineering roles at Amazon and WSO2, a blockchain engineering stint at The Linux Foundation (making Hyperledger deployments Kubernetes-ready), and a GSoC project at CERN integrating containerized workloads into global computing grids. Comfortable across the stack—Java, Python, Spark, Kubernetes, and cloud deployments—he blends research-oriented contributions with production delivery. Notably, he pairs large-scale ML production expertise with early-career systems work that solved real-world orchestration and idempotency challenges.
10 years of coding experience
5 years of employment as a software developer
Bsc. Engineering, Engineering, Bsc. Engineering, Engineering at University of Moratuwa
English, Tamil, Sinhalese
Github Skills (54)
distributed-computing10
fabric10
user-interface9
charts9
bus9
hyperledger-fabric9
frontend8
docker8
hyperledger8
binding8
blockchain8
helm8
kubernetes8
golang8
programming-language7
Programming languages (9)
Github contributions (5)
inzamam-iqbal/nephos
Jun 2019 - Mar 2025
Python library and Helm charts for deployment of Hyperledger Fabric to Kubernetes.
Contributions:31 PRs, 104 pushes, 75 branches in 5 years 10 months
python-librarychartshyperledgerpythonfabric
inzamam-iqbal/docker
Feb 2020 - Apr 2020
Contributions:25 pushes, 4 branches in 1 month
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