Arnav Chokshi
Software Engineer Intern @ Workday
About
I love pickleball, olivia rodrigo, and bhangra! Send me a connection if you agree!
United States
Atlanta Metropolitan Area
Higher Education
Swift (Programming Language), MongoDB, TypeScript, Angular, React Native, Research Skills, Large Language Models (LLM), Application Development, Programming, Computer Science, Communication, Classification, Spanish, Python, Android Studio, Application Programming Interfaces (API), Firebase, Java, Django, SQL
Experience

Cloud Operations Co-Op
Atlanta, Georgia, United States
Supporting DFIO team on Oracle Cloud, providing AI-based demand forecasting to 18+ enterprise clients. Collaborating with Google Cloud and Azure teams to improve cross-cloud product deployment pipelines. Building automated Docker/Linux testing for updates, leveraging CI/CD to reduce client-reported errors

Full Stack Intern
Atlanta, Georgia, United States
Engineered predictive analytics pipeline with team, leveraging historical menstruation trends to deliver personalized insights and preparation strategies, empowering thousands of women with data-driven support Built cross-platform mobile app with React Native and typescript backed by PostgreSQL data storage/access

Automation and Control Researcher
Atlanta, Georgia, United States
Collaborated on an autonomous drone for the X-PRIZE to detect and extinguish fires across 1,000 km Trained an RNN using TensorFlow with 83% accuracy in classifying fire and smoke from 360° drone footage Integrated the detection model with mechanical systems for end-to-end routing of drones to high-risk areas

US Division Ambassador and Tutor
Marietta, Georgia, United States
Served as the first international ambassador, focusing on advertising and recruiting new students. Tutored children in underdeveloped areas in India on basic Java programming and foundational programming concepts.

KSU Machine Learning Research Intern
Kennesaw, Georgia, United States
Contributed to a published research paper on Explainable Artificial Intelligence using recurrent neural networks (RNN). Developed and implemented RNN models for musical note memorization using Python and TensorFlow. Used MatPlotLib and Seaborn for large-scale data visualization. Analyzed RNNs weight matrices and vectors to understand data transformation from input to output.
Education
Arnav Chokshi's Contact Information
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