Summary
Komal Mariam is a Technical Staff engineer in Tokyo with 8 years of experience building scalable systems at the intersection of distributed data processing, machine learning, and computer vision. She designs and ships large-scale, real-time streaming applications with Apache Flink and develops deep learning solutions for biomedical imaging, traffic monitoring, and crowd analytics, translating research prototypes into production-ready pipelines. Her background spans research and industry roles at AIST, DeepChain, and STech.ai, combining hands-on distributed systems engineering with custom model training and robust dataset preparation. Passionate about spatial analytics and AI for public infrastructure and healthcare, she thrives on solving low-latency, real-world data problems and often bridges theoretical ideas with practical deployments. An engineer who values reproducibility, she is actively improving her public repos to make project setup and contributions clearer for collaborators.
8 years of coding experience
1 year of employment as a software developer
O/A Levels, Pre-Engineering, O/A Levels, Pre-Engineering at Beaconhouse Educational Complex
Bachelor of Engineering (B.E.), Electrical, Bachelor of Engineering (B.E.), Electrical at College of Electrical And Mechanical Engineering, NUST
Urdu, English