Radhya Sahal
Postdoctoral Research Fellow at ELSIVERT
Cork, Ireland
Summary
👤
Senior🎓
Top SchoolRadhya Sahal is a Postdoctoral Research Fellow with eight years of research engineering experience designing, implementing and deploying end-to-end data pipeline solutions across Hadoop, Spark, Flink, Kafka and NoSQL/RDBMS ecosystems. At Confirm SFI she builds predictive analytics and digital twin prototypes for Industry 4.0—focusing on predictive maintenance, track & trace and adaptive data-drift management—and actively engages industry partners to translate prototypes into funded deployments. She combines strong academic credentials (PhD and MSc in Computer Science from Cairo University) with hands-on engineering, API development (Flask) and cloud/stream-processing know-how. A seasoned reviewer and educator, she has run workshops and lectured on visual analytics and big data, bringing both research rigor and practical product focus to industrial problems. Notably, her background spans leadership roles from team-leading web development to training community tech programs, reflecting a rare blend of applied research, industry engagement and grassroots tech education.
8 years of coding experience
Pre-Ph.D, Computer Science, Very Good, Pre-Ph.D, Computer Science, Very Good at Faculty of Computers and Information, Cairo University, Cairo, Egypt.Pre-Master, Computer Science, GPA: 3.4, (Very Good)., Pre-Master, Computer Science, GPA: 3.4, (Very Good). at Faculty of Computers & Information, Cairo University, Egypt.Master Degree, Computer Science, Master Degree, Computer Science at Cairo University
English, Arabic
Github Skills (19)
ditto7
mongodb6
eclipse5
java5
web-of-things5
javascript5
iot4
eclipseiot4
w3c4
eclipse-ditto3
akka3
analytics2
internet-of-things2
mqtt2
postgresql2
Programming languages (1)
Github contributions (5)
radhya/Big-Data-Multi-Query-Optimizer
Apr 2018 - Feb 2020
Contributions:16 commits, 15 pushes, 1 branch in 1 year 10 months
radhya/Data-Pipline
Sep 2022 - Sep 2022
Contributions:12 pushes, 2 branches in 1 day
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