Senior Backend Engineer & Health Data Architect | Python • FastAPI • Data Science • ML Engineering • Digital Biomarkers

Senior Backend (Python) & HealthTech Expert. Ph.D. Candidate. 0-1 builder of data infra (FastAPI, Docker, ML). Based in Chile; fully available for projects in the Americas & EU (UTC-4). High-frequency sensor & clinical data specialist. Remote-ready.

• Backend Entwickler9 J.
• Continuous Integration8 J.
• Datenanalyse10 J.
• Digital Biomarkers
• Docker
• Java (allg.)9 J.
• Machine Learning5 J.
• Microservices
• Python9 J.
• REST API

I am a "0-1" builder and quantitative expert who specializes in the intersection of high-frequency physiological data and scalable backend infrastructure. With a background as a PhD Researcher in Digital Health (HPI) and a track record of engineering clinical-grade pipelines, I bridge the gap between complex research and production-ready software.

As a freelancer based in Chile (UTC-4), I offer a unique bridge for companies operating across the Americas and the EU, providing senior-level technical leadership with a focus on reliability, data governance, and performance.

My Core Expertise:
‣ Backend & Infrastructure: Designing scalable microservices using Python (FastAPI/Flask), Docker, and Kubernetes. I focus on building robust API layers that handle high-throughput data with low latency.

‣ Health Data Engineering: Expert in managing the lifecycle of sensitive datasets (EEG, PPG, EDA). I have led five self-initiated clinical ethics approvals and architected pipelines for 500+ hours of real-world wearable data.

‣ Machine Learning & Analytics: Applying rigorous statistical methods (ANOVA, Hypothesis Testing) and Deep Learning (CNNs, LSTMs, GANs) to time-series data to drive predictive accuracy.

‣ Regulatory & Ethics: Deep understanding of the technical requirements for HIPAA/GDPR-compliant environments, ensuring data integrity from sensor to cloud.

Selected Project Highlights:

A) 0-1 Infrastructure for Digital Biomarkers (Hasso Plattner Institute)
‣ The Challenge: Capturing and processing 500+ hours of multi-modal biosensor data in naturalistic environments.
‣ The Solution: Built automated Python pipelines for data acquisition and preprocessing. Developed predictive ML models that achieved a 15% performance increase over existing benchmarks.
‣ The Result: Published in Nature Scientific Data and awarded "Best Paper" at eTELEMED 2024.

B) High-Frequency Systems Engineering (Charité University Hospital)
‣ The Challenge: Real-time data acquisition at 10 kHz from specialized neurological hardware.
‣ The Solution: Designed and deployed custom low-latency measurement software in Python. Optimized signal-to-noise ratios via digital signal processing and custom amplifier integration.
‣ The Result: Successfully bridged the gap between custom hardware and clinical study protocols, ensuring 100% data alignment.

C) Enterprise Cloud Migration & Microservices Architecture (GOD GmbH / HPI)
‣ The Challenge: Transitioning legacy enterprise architectures into modern, maintainable environments.
‣ The Solution: Migrated model-based systems to containerized JEE microservices using Docker, REST, and SQL. Implemented CI/CD pipelines and TDD suites to ensure zero-downtime deployments.
‣ The Result: Significantly reduced technical debt and improved system interoperability for corporation-wide applications.

My approach is defined by:
‣ Extreme Agency: Whether it's navigating complex ethics applications or refactoring a legacy database, I lead the process from start to finish.
‣ Clinical Translation: I excel at translating complex XAI models (like RNN-GAN tumor segmentation) into actionable insights for medical professionals.
‣ Quantitative Rigor: My passion for data extends to testing market behavior hypotheses via personal brokerage accounts, ensuring my analytical skills remain sharp and objective.

Technical Stack
‣ Languages: Python (Expert), SQL, R, Java, C++.
‣ Backend: FastAPI, Flask, RESTful APIs, Microservices, JSON.
‣ Data/ML: NumPy, SciPy, Scikit-Learn, TensorFlow, Time-Series Analysis, SQL, XAI.
‣ DevOps: Docker, Kubernetes, CI/CD, Maven, Git.
‣ Domain: Digital Biomarkers, HIPAA/GDPR/Ethics, Signal Processing (EEG, PPG, EDA), EHR Integration (HL7/FHIR).

Logistics & Availability
‣ Location: Remote (Based in Chile, with work authorization for both Chile and the EU).
‣ Timezone: UTC-4 (Full workday overlap with US East; 5h overlap with EU).
‣ Availability: Immediate for freelance contracts and project-based consulting.