Rony MacWan
Graduate Researcher @U Of A College Of Information Science
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WORK HISTORY
Graduate Researcher @U Of A College Of Information Science
Tucson, AZ, US
Introduced a novel architecture, LLM-HyPZ, capable of automatically classifying software and hardware vulnerabilities using the CWE dataset. Processed a large-scale corpus of 114,836 CVE entries, utilizing OpenAI\'s text-embedding-3-large and K-Means clustering to filter and identify 1,742 hardware-specific vulnerabilities. Achieved 99.5% classification accuracy on a curated hardware security validation with LLaMA 3.3 70B, outperforming models like GPT-4-Turbo (99.0%) and GPT-4o (98.5%). Co-authored a paper on the LLM-HyPZ architecture which was accepted at ICDM 2025.
EDUCATION
G H Patel College of Engineering & Technology
Bachelor of Engineering, Mechanical Engineering
University of Arizona
Master of Science - MS, Information Science - Machine Learning
ABOUT RONY MACWAN
Software Engineer with strong experience in data engineering and backend development. Experienced in building ETL pipelines, cloud infrastructure, and data-driven solutions. Passionate about data structures and algorithms (350+ problems solved on LeetCode) and system design.Tech Stack:Programming Languages: Python, R, Java, JavaScript, C++, SQLDatabases & Cloud: PostgreSQL, MongoDB (NoSQL), Snowflake, AWS, AzureData Processing & DevOps: Kafka, Airflow, Spark, dbt, Docker, Jenkins, TerraformMachine Learning & Analytics: Predictive modeling, hypothesis testing, Scikit-learn, PyTorch, Power BI, Tableau
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