Experience
INFO-I308 Teaching Assistant
Indiana University Luddy School of Informatics, Computing, and Engineering
Bloomington, Indiana
2026 — Present
- Teach and grade coursework across SQL, MariaDB and database design, working through assignments and debugging with students one on one.
Marketing Director
Data Science Club at Indiana University · Part-time
2026 — Present
- Lead the club’s visual identity and campaign work in Photoshop and the wider Adobe Creative Cloud, from event promotion through to recruitment material.
Adobe Student Ambassador
Adobe · Part-time
2026 — Present
- Represent Adobe on campus, running sessions on Creative Cloud tooling and connecting students with resources for design work.
Campus Ambassador
Simplify · Part-time
2025 — 2026
- Grew Simplify’s presence on campus, helping students streamline internship applications and tracking.
Undergraduate Research Assistant
Indiana University Luddy School of Informatics, Computing, and Engineering · Part-time
2025 — 2026
- Built parts of a machine-learning pipeline predicting HIV drug resistance: parsed HIVDB ASI XML into synthetic mutation datasets, integrated phenotype and clinical data for validation, and handled preprocessing, feature engineering and evaluation with a focus on reproducibility. Wrote the script comparing our predictions against HIVdb’s own, reaching 80–96% accuracy across antiretroviral drugs.
Software Engineer
F Perez Concrete · Freelance
Remote
2025 — 2025
- Built and deployed a Next.js full-stack app with 40% faster load times and a Mapbox-powered quote calculator that cut manual prep by 50%. Added a JWT-authenticated admin dashboard with REST APIs, file uploads, revenue tracking and lead contact details, saving 5–10 hrs a week. Integrated Google Analytics and set up their Google Business presence, taking the site from 0 to ~80 visits a month. Lighthouse: 96 accessibility, 96 best practices, 100 SEO on desktop.
Software Engineer
Infosys · Internship
Indianapolis, Indiana
2025 — 2025
- Built an automated PII detection and redaction system for PDFs with a 3-person Python team. Dual-mode processing handled both text PDFs (PyMuPDF) and scans (Google Document AI OCR), with regex pattern recognition for SSNs, bank and card numbers and precise bounding-box redaction. Designed the token-based data architecture and an automated workflow producing timestamped originals, redactions, detection reports and audit trails. Benchmarked Google Document AI against AWS Textract, Azure Form Recognizer, Tesseract and PaddleOCR, selecting Google on cost at scale and accuracy.
