Software Developer with experience in Java, RestAPIs, Apache Spark, PySpark, Kubernetes, and ML pipelines. Also experienced in data analysis using Python, Advanced SQL, R, Amazon Redshift, and Google BigQuery, with resea…
Software Developer with experience in Java, RestAPIs, Apache Spark, PySpark, Kubernetes, and ML pipelines. Also experienced in data analysis using Python, Advanced SQL, R, Amazon Redshift, and Google BigQuery, with research experience in machine learning and reinforcement learning.
Reseach Assistant | Tech Stack: Python, RL, ML Aug. 2023 – May. 2024
◦ Designing an AI-powered predictive model to optimize job scheduling and resource allocation in high-performance
computing environments, leveraging advanced Reinforcement Learning methodologies and the TACC dataset.
◦ The scheduler will reduce execution latency and enhance resource efficiency up to 80%, ensuring optimal job queue and
cluster decisions in real-time, based on cyberinfrastructure costs and policies
Designing an AI-powered predictive model to optimize job scheduling and resource allocation in high-performance computing environments, leveraging advanced Reinforcement Learning methodologies and the TACC dataset.
The scheduler will reduce execution latency and enhance resource efficiency up to 80%, ensuring optimal job queue and cluster decisions in real-time, based on cyberinfrastructure costs and policies.
Implemented a Java-based backend service, utilizing RestAPIs and Apache Spark, to systematically analyze and process insurance details, enhancing data integration from third-party insurance entities.
Achieved a 40% increase in query performance by migrating and optimizing insurance data storage to Apache Spark, significantly improving data retrieval efficiency and service responsiveness.
Leveraged Python, R, and advanced SQL on Amazon Redshift and Google BigQuery to analyze datasets of 65 Fortune 100 companies in China and evaluate 150 ISVs in Indian cities, producing strategic reports for business improvement and informed client decision-making.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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