Ilda Martinez

Experience Summary

• A Bilingual Computer Science student with research and industry experience in AI, Machine Learning, and Information Technology seeking to obtain an internship or entry-level position in Information Technology, Data Analysis, and Software.

Proffesional Experience

Help Desk Tech, Glen Ivy Hot Springs | Temescal Valley, CA | April 2025 - Present (Contract Position)

Troubleshot 10-12 daily support tickets on ServiceDesk in a Microsoft Office 365 environment, utilizing Active Directory, Lansweeper, and remote support tools (Dameware Mini Remote Control) to ensure prompt resolution while providing high-level customer service with a White Glove approach.

Deployed and configured IP security cameras using the Vitek Transcendent App, managing DHCP reservations, network configurations, and camera integrations to enable reliable live monitoring and strengthen on-site security coverage.

Built and executed Powershell scripts with lansweeper to automate unauthorized software removal across network devices, reducing manual uninstall time by 75%, ensuring compliance with company software policies.

Information Technology Support, Ingram Micro | Eastvale, CA | December 2024 - February 2025 (Contract Position)

• Assembled computers and executed imaging on tablets and desktops, certifying full compatibility and operational readiness.
• Coordinated with SAP for efficient order processing while maintaining attention to detail of organizing digital folders and documenting every configuration task with photos to ensure accountability and traceability.
• Produced work instructions that brought consistency and clarity to undocumented configurations, to further production flow accurately and in a timely manner. Managed 10-12 IT support tickets daily, troubleshooting issues in an office 365 environment, including MS Teams, PC, and Apple devices (iOS & macOS).

Software Development Intern – AI Security Research, Project: Measuring the security risks of Large Language Models | Santa Barbara, CA | June 2024 - August 2024

• Created and implemented Python web scraping scripts in visual studio to automate the collection of data from multiple websites utilizing AI chat plug-ins, enabling a systematic investigation of security risks associated with Large Language Models (LLMs).
• Integrated insights from academic research papers into the project workflow, refining our research methods, which improved our approach to find security risks in LLMs.
• Constructed and validated data pipelines for gathering and processing datasets through web scraping, ensuring high data quality for post-analysis of LLM performance and reliability, which contributed to our overall impactful research findings.

Software Development Intern, We Inspect | Los Angeles, CA | December 2024 - February 2025

• Developed and optimized a data processing pipeline to handle over 600+ mold-related data points, utilizing Python and libraries such as Scikit-learn and TensorFlow to create an efficient model for identifying health risks related to mold exposure in homes.
• Applied data transformation techniques such as one-hot encoding to prepare data for analysis, enabling the implementation of unsupervised learning algorithms like K-means clustering and Principal Component Analysis (PCA), which improved accuracy.
• Designed and deployed association rule learning algorithms to reveal correlations between mold types and health symptoms, achieving 85% prediction accuracy,which then provides insights for health impact assessments.