Abdul Shaik is a results-driven RApp Developer Advocate and software engineer with three years’ experience building Python and Java-based web and data systems, plus a Master’s in Artificial Intelligence. He has practical expertise deploying containerized applications with Docker and Kubernetes, streaming real-time data with Kafka, and delivering ML solutions—such as an anomaly detection system that cut false positives by 30% and a predictive model with 85% accuracy. Comfortable across the stack, Abdul combines Flask-backed web services, SQL databases, and ML libraries (Scikit-learn, TensorFlow) to turn data into production-ready features, and he also brings visualization skills with Tableau and Power BI. Based in Dublin, he blends developer advocacy at Ericsson with hands-on engineering experience from startups, and has a particular interest in NLP, recommender systems and bridging ML research into reliable deployments.
3 years of coding experience
4 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Dublin Business School
PGDC IN TRANSMISSION AND DISTRIBUTION Electrical and Electronics Engineering, PGDC IN TRANSMISSION AND DISTRIBUTION Electrical and Electronics Engineering at POWER SYSTEM TRAINING INSTITUTE
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at JNTU Anantapur
Contributions:5 reviews, 6 PRs, 25 pushes in 3 months
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