Antonio Pichardo

Bachelor of Arts · Expected May 2028

BA Computer Science; BA Economics

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

Leadership: Student Body Treasurer, Rutgers University; Treasurer, BridgeRutgers; Alto Saxophone Section Co-Lead, Marching Scarlet Knights; Team Captain, Rutgers Taekwondo

Clubs: ALPFA, RUBITS, Colorstack, Latino Student Council, MASA

May 2026 to Present

• Administered and optimized IBM TRIRIGA enterprise applications, automating 15+ core workflow processes to reduce lease procurement cycle times by 25% across state-managed properties.
• Engineered and optimized relational databases handling over 100,000+ rows of statewide real estate and asset data; tuned complex SQL queries to improve data retrieval speeds and analytical pipeline performance by 40%.
• Leveraged Python, REST APIs, and version control (Git) to build automated data synchronization scripts, eliminating 15+ hours of manual data workflows weekly and achieving 100% data ingestion accuracy.
• Collaborated with cross-functional teams using Agile methodologies to rapidly deploy 10 critical applications and data infrastructure enhancements, cutting software deployment lead times by 30%.

Apr 2026 to 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.

Apr 2025 to 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.

Sept 2024 to 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.

June 2025 to Aug 2025

• Scraped competitor brokerage and county websites using Python (BeautifulSoup) to gather market listing trends and shifts for strategy development, leading to an increase of +3% market share in Cumberland, Salem, and Cape May Counties YTD.
• Curated slides and spreadsheets using PowerPoint and Excel to better visualize data for recruitment strategies, leading to an increase of +12% new agents onboarded and +68% enrolled in a licensure program.

TypeScript, Node.js, Express, SQLite, Docker, Azure Container Apps

• Engineered a TypeScript/Node.js Discord bot that plays music and acts as an admin tool in Discord servers with discord.js, @discordjs/voice, FFmpeg, YouTube/Spotify APIs, SQLite, and Canvas rank cards; 20+ slash commands for music, XP/levels, and server management.
• Architected an Express.js administrative dashboard utilizing Discord OAuth2 and REST APIs; utilized Docker for containerization and orchestrated deployment to Azure Container Apps via ACR and Azure CLI.

• Built an end-to-end data pipeline that ingests unstructured medical invoice images using OCR technology, transforming raw, disparate data points into clean, structured, and HIPAA-compliant relational datasets.
• Developed a predictive machine learning model in Python to evaluate pricing disparities, performing statistical market-average benchmarking ("your price vs. market average vs. savings") to uncover arbitrage or negotiation opportunities.
• Designed a scalable backend architecture deployed via a single API endpoint; generated algorithmic, multi-language data outputs designed to interface cleanly with massive insurance claims datasets.

• Engineered a responsive, data-driven single-page application featuring real-time hydration of live sports analytics, dynamic schedules, and comprehensive roster tables.
• Implemented an asynchronous data pipeline to orchestrate multi-endpoint REST API consumption, seamlessly consolidating live scoring streams, team standings, and deep-roster payloads.
• Optimized system throughput and network latency by offloading computing tasks to edge locations, executing light processing rules before hydrating the client UI.