Rudrax Dave

Spearheaded creation and implementation of a web-based Data Asset Management System with React and Vue.js, leading to a 40 percent decrease in development time and enhanced performance.
• Incorporated Continuous Integration and Deployment (CI / CD ) into Amazon Pipelines and AWS infrastructure which resulted in a 30 % decrease in errors and an enhancement, in operational efficiency.

Developed advanced machine learning models utilizing Generative AI and Natural Language Processing to analyze plant data, resulting in a 30% reduction in pressure safety incidents across multiple chemical plants and improving overall safety compliance by 40%

Architected backend and frontend structures using QT Creator, reducing system crashes by 60% on AM437x Microprocessor,
integrating STM32 resources with ARM and NXP processors, enhancing GPU performance by 20% for graphics libraries.

Worked in an Agile environment to enhance workflow predictability and reduce delivery time variability by 25% for machine learning projects. Conducted data operations and developed predictive models, improving insights quality by 30% and operational efficiency by 20%. Utilized various Python libraries to enhance insurance predictions by 35%.

Android Development: Developed, improved, and maintained features of Mobile Application, Dashboard, and Reporting
tool used for Drug Development and Drug Test-runs.
● Molded APKs with Android Studio, & React.js; reported SDK updates via git, & Notion; upgraded app versions & SQL DB

Machine Learning and GIS: Performed Building and Road Extraction for Urban & Rural Development and Annotations of
Imagery exercising ML & DL Algorithms for Bhaskaracharya National Institute for Space Applications and Geo-informatics.
● Collaboration and Evaluation: Formulated strategy on rapid developments in areas and assisted a team of ML Experts

Grade: 3.8

Grade: 4.0/4.0