Antonio Pichardo

Bachelor of Science; Bachelor of Arts · Expected May 2028

Major in Computer Science; Major in Economics

Coursework: Data Structures, Computer Architecture, Systems Programming, Calculus II, Intermediate Microeconomic Analysis, Discrete Structures I, International Economics, Statistics

June 2025 – Aug 2025

• Scraped competitor brokerage and county websites with Python and BeautifulSoup to analyze listing trends and strategy opportunities, helping drive +3% market share growth in Cumberland County YTD.
• Built recruitment reporting assets in PowerPoint and Excel, contributing to +12% new agents onboarded and +68% enrolled in licensure programming.
• Supported project execution with Excel formulas and practical coding support in JavaScript, C++, and Python.

Sept 2024 – Present

• Support professors by troubleshooting classroom hardware and software issues across Rutgers SAS environments.
• Developed Python scripts used for deployment across hundreds of Raspberry Pi devices for TV setups.
• Improved Streamdeck and projector classroom functionality with Python and C++ scripts.
• Collaborated with the Assistant Director of IT on a custom PowerShell integration in MDT to accelerate standardized machine imaging at scale.

Apr 2025 – Present

• Represent SAS students in University Senate and advocate for student interests in institutional policy and governance.
• Chair the SAS Senate Caucus and coordinate action among student senators on key campus initiatives.
• Track Senate initiatives and committee engagement to keep leadership priorities aligned and visible.

Apr 2026 – Present

• Manage and allocate a $3.5M+ student fee budget across hundreds of organizations while maintaining transparent, compliant processes.
• Review and approve funding requests by evaluating financial need and mission alignment to support student initiatives.
• Collaborate with executive board members on planning, expenditure tracking, and improved financial reporting.
• Implemented improved tracking systems with spreadsheets and auditing workflows to increase efficiency and accuracy in oversight.

• Built an end-to-end prototype that converts medical bill images into structured cost insights using OCR while supporting HIPAA-aware workflows.
• Developed a machine learning model to estimate fair expected prices so users can compare their costs against market averages and savings opportunities.
• Designed a scalable single-endpoint API and generated multilingual negotiation scripts to support real-world billing dispute workflows.