EANGELICA
ATON
TECH_INNOVATION
Product Engineer and Precision Health Expert building full-stack AI systems that ship to production.
LLMs, Computer Vision, RAG pipelines, and human-in-the-loop systems.
HIPAA-compliant platforms, HL7 FHIR, clinical data at scale.
React, TypeScript, Python, FastAPI — from design to production.
Observability, monitoring, testing, and risk mitigation for critical systems.
AlphaFold2, MAISI, Evo 2, Biomedical AI-Q — healthcare AI at the frontier.
ABOUT
I am a Product Engineer and Global Senior Product Manager who thrives at the intersection of engineering, product thinking, and AI. I don't just write code; I own features end-to-end — from architectural design to production launch — focusing relentlessly on customer experience and business impact.
With over a decade of experience across the U.S. and Europe, I specialize in building AI-driven frontend experiences and foundational data platforms. My background spans scaling global health data systems serving over 2M patient records, leading LLM-based products that increased retention by 25%, and architecting API frameworks that improved reliability by 40%.
I excel in fast-paced environments where rapid iteration and outcome-driven development are paramount. Whether it's optimizing LLM latency or designing intuitive human-in-the-loop workflows, my goal is always to ship meaningful outcomes, not just features.
Healthcare AI APIs
Apogeee integrates six NVIDIA NIM Healthcare APIs for biomedical inference, protein structure prediction, and genomic analysis. Explore on build.nvidia.com →
SYSTEM_LOG
LLM Workflow Architecture
Demonstrates how LLMs live inside product workflows, not just notebooks. Focuses on abstraction boundaries, human-in-the-loop logic, and provider-agnostic design.
READ_LOGScaling Healthcare AI
Production thinking around AI risk with validation, fallbacks, monitoring, and guardrails. Serving 2M+ patient records with 99.9% uptime.
READ_LOGBeat/pulsation algorithm referencing medical definitions of stroke/seizure.
Forked contribution: Tensors and Dynamic neural networks with strong GPU acceleration.
Forked contribution: Industrial-strength NLP with Python and Cython.
TECH_STACK
LET'S BUILD
Interested in AI-powered products where engineering quality and customer experience both matter? Let's talk.