Summary
Overview
Work History
Education
Skills
Websites
Research
Timeline
Generic

Aryan Dadnam

San Jose,CA

Summary

Motivated Computer Science undergraduate with hands-on research experience in behavioral computing and emotion detection using physiological signals. Skilled in Python and machine learning, with a strong interest in supporting interdisciplinary academic research at the intersection of neuroscience and data science.

Overview

3
3
years of professional experience

Work History

Software Developer

Moss Amigos
San Jose, CA
11.2024 - 03.2025
  • Developed a web application for the health analysis of moss plants, providing visual and data-driven insights.
  • Designed intuitive and user-friendly interfaces using Figma, ensuring a seamless user experience
  • Implemented backend services and image analysis using TensorFlow and Python for real-time moss health diagnostics
  • Researched, classified, and categorized various moss health states based on color variation and visual indicators
  • Collected, and labeled a large dataset of moss ball images to train and validate machine learning models

Research Assistant & Data Analysis Intern

UC Davis
06.2022 - 09.2023
  • Contributed to a behavioral research initiative focused on automated emotion recognition using physiological signals.
  • Applied machine learning and AI techniques to classify emotional states based on sensor data.
  • Conducted data cleaning, preprocessing, and model evaluation in Python using Anaconda Navigator and PyTorch.
  • Collaborated with researchers from computer science and neuroscience, supporting interdisciplinary investigation.
  • Documented findings, and assisted in translating insights for academic presentations and applied use.

Education

Bachelor of Science - Computer Science

University of California Santa Cruz
Santa Cruz
06.2024

Skills

  • Python
  • SQL
  • PyTorch
  • Anaconda Navigator
  • NumPy
  • Pandas
  • Linux
  • GitHub
  • VirtualBox
  • Microsoft Excel
  • R
  • VS Code
  • Team collaboration

Research

UC Davis, Research Assistant & Data Analysis Intern, 06/22, 09/22, Contributed to a behavioral research initiative focused on automated emotion recognition using physiological signals., Applied machine learning and AI techniques to classify emotional states based on sensor data., Conducted data cleaning, preprocessing, and model evaluation in Python using Anaconda Navigator and PyTorch., Collaborated with researchers from computer science and neuroscience, supporting interdisciplinary investigation., Documented findings and assisted in translating insights for academic presentations and applied use.

Timeline

Software Developer

Moss Amigos
11.2024 - 03.2025

Research Assistant & Data Analysis Intern

UC Davis
06.2022 - 09.2023

Bachelor of Science - Computer Science

University of California Santa Cruz