I have received the call to study the ancient language of machines.

I'm a clinical research regulatory affairs professional with hands-on experience in the trial workflows that often become software problems: training follow-up, amendments, evidence review, audit readiness, privacy, and human oversight.

I'm looking for roles in healthtech, clinical AI, regulatory workflow tooling, implementation, or product-adjacent teams where that background is useful. I learn quickly, prototype fast, and care about making regulated workflows easier to track, review, and trust.

I'm interested in roles where clinical/regulatory domain fluency, documentation discipline, implementation judgment, AI workflow literacy, and hands-on prototyping are useful, especially:

• Clinical research / regulatory affairs roles with AI, automation, systems, or process-improvement responsibility
• Healthtech implementation, customer success, or solutions roles where clinical/regulatory fluency matters
• Clinical AI / regulatory workflow roles involving documentation, review workflows, evidence trails, or human oversight
• Product-adjacent healthtech roles where clinical/regulatory workflow judgment is the wedge
• Technical operations roles only when the work values domain expertise plus hands-on tooling/prototyping

Regulatory training follow-up prototype for clinical research teams.

• Live demo: https://studychaser.katalinalondono.com
• GitHub: https://github.com/katalinawinemixer/studychaser
• Why it matters: clinical teams need clearer ways to track protocol and amendment training, overdue acknowledgments, staff follow-up, and audit-ready filing notes.
• Built with: React, Vite, Node.js, Cloudflare Workers, synthetic demo data, read-only hosted mode.

AI interface pattern project for source grounding, uncertainty, feedback, evals, comparison, and human review.

• Live demo: https://katalinawinemixer.github.io/human-ai-design-system/
• GitHub: https://github.com/katalinawinemixer/human-ai-design-system
• Why it matters: AI products need interfaces that make evidence, uncertainty, and review states visible instead of hiding model behavior behind a magic text box.
• Built with: React, TypeScript, component patterns, product demos, GitHub Pages.

AI-assisted photo guessing app for identifying likely San Francisco food venues from images, with privacy-aware upload handling.

• Live app: https://spotted-in-sf.com
• GitHub: https://github.com/katalinawinemixer/sf-food-guesser
• Public case study: https://github.com/katalinawinemixer/katalinawinemixer/blob/main/sf-food-guesser-case-study.md
• Why it matters: it shows applied AI product exploration outside the clinical/regulatory niche: image upload flows, ranking, privacy, provider behavior, and test coverage.
• Built with: full-stack JavaScript, AI vision/search workflows, metadata stripping, rate limiting, deployment checks, tests.

Personal site for technical projects, clinical/regulatory perspective, and biotech/LatAm writing.

• Software / projects page: https://www.katalinalondono.com/software
• Main site: https://www.katalinalondono.com/
• GitHub: https://github.com/katalinawinemixer/katalina-site

I come from clinical research and regulatory affairs, where software gaps show up as missed training, delayed amendments, audit risk, and operational drag. I use prototypes to explore how those workflows could be easier to track, review, and trust.

I use AI coding tools transparently as part of my learning and prototyping process. I own the workflow problem, requirements, product judgment, review criteria, verification expectations, and documentation, while I'm strengthening my fundamentals, especially Python and JavaScript/TypeScript.

• Translating clinical/regulatory workflow pain into clear requirements and small technical prototypes
• Exploring applied AI workflows around evidence, uncertainty, ranking, and human review
• Practicing Python and JavaScript fundamentals
• Exploring healthtech, clinical AI, implementation, solutions, and product-adjacent roles without overstating my current title

• Software portfolio: https://www.katalinalondono.com/software
• Portfolio / writing home: https://www.katalinalondono.com/
• GitHub: https://github.com/katalinawinemixer
• LinkedIn: https://www.linkedin.com/in/katalinalondono/