HEALTH INFORMATICS • CLINICAL DATA • PREDICTIVE AI • TELEMEDICINE ARCHITECTURE • HEALTH INFORMATICS • CLINICAL DATA • PREDICTIVE AI • TELEMEDICINE ARCHITECTURE •
MISSION-DRIVEN TECHNOLOGIST

Bridging the gap between Clinical Science & Code.

I architect scalable, HIPAA-compliant digital health solutions and predictive models that empower clinicians and improve patient outcomes at scale.

Initiate Mission
Cyber security tech abstract

Tech Stack Radar

Clinical Data & AI

Python TensorFlow PyTorch R (Biostatistics) FHIR Standards HL7 v2/v3 Pandas

HealthTech Backend

Node.js PostgreSQL (PHI Encrypted) AWS HealthLake Docker / Kubernetes GraphQL Redis

Front-End Delivery

React.js Next.js WebRTC (Telehealth) TypeScript Tailwind CSS D3.js (Clinical Vis)

Mission History

2021 — PRESENT

Lead Health Informatics Architect

NovaCare Digital Systems
  • Spearheaded the architectural design of a cloud-native Electronic Medical Record (EMR) interface, reducing physician screen-time by 40% per encounter.
  • Engineered a predictive patient readmission machine learning pipeline, successfully decreasing 30-day hospital bounce-backs by 22% across 5 facilities.
  • Enforced strict HIPAA/HITRUST compliance across a multi-node microservices infrastructure handling 2M+ active patient records.
2018 — 2021

Senior Clinical Data Scientist

BioMetrics Analytics Inc.
  • Architected a highly scalable genomic data warehouse utilizing AWS Redshift, processing terabytes of sequencing data for personalized oncology research.
  • Developed real-time anomaly detection algorithms for IoT wearable devices (ECG, SpO2), alerting emergency responders with a 99.4% true positive rate.
  • Mentored a team of 4 junior data analysts in advanced SQL query optimization and Python data wrangling techniques.
2015 — 2018

Full-Stack Developer (Telehealth)

CareConnect Virtual
  • Developed a robust, low-latency video consultation platform utilizing WebRTC and Node.js, facilitating over 50,000 remote appointments during the initial rollout.
  • Integrated third-party e-prescribing APIs (Surescripts) directly into the provider dashboard, streamlining the medication fulfillment process.
  • Optimized legacy database structures, improving patient search query response times by over 300%.

Clinical Implementations

Medical dashboard application

NeuroSense AI Dashboard

React Python TensorFlow

Case Study: Developed a visualization dashboard for neurologists to interpret EEG data in real-time. The AI backend highlights potential seizure precursors, drastically reducing manual chart review time and improving early intervention protocols.

Data server racks abstract

VitalsSync IoT Gateway

Node.js MQTT AWS IoT

Case Study: Architected a high-throughput data ingestion pipeline capable of handling simultaneous data streams from thousands of patient wearables. Ensured end-to-end encryption and seamless integration into the central hospital EMR.

Code on screen abstract data

EMR Unified API Gateway

GraphQL Docker PostgreSQL

Case Study: Built a unified abstraction layer over fragmented legacy hospital systems using GraphQL. This allowed frontend mobile apps for patients to query lab results and appointments securely without exposing underlying database architecture.

Virus simulation graphic

EpiTrack Simulation Engine

D3.js Django Redis

Case Study: Created a web-based epidemiological modeling tool for public health officials. Utilized D3.js to render complex geospatial infection spread networks, backed by a high-performance Django/Redis caching layer.

Academic Foundation

Ph.D. in Health Informatics
Stanford University | 2011 — 2015
Dissertation: "Machine Learning Applications in Predictive Triage for Emergency Departments."
M.S. in Computer Science
MIT | 2009 — 2011
Focus on Distributed Systems and Data Privacy.
Certifications
Ongoing
AWS Certified Solutions Architect, Certified Professional in Healthcare Information & Management Systems (CPHIMS).

Professional Core (Soft Skills)

Clinical Empathy
Deep understanding of provider workflows and patient distress. I build software that reduces cognitive load, never adds to it.
Cross-functional Leadership
Bridging the communication gap between strict compliance officers, practicing physicians, and agile engineering teams.
Security-First Mindset
Treating data privacy not as a compliance checklist, but as a fundamental human right within healthcare technology.

Endorsements

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"Elias is a rare breed of developer who actually understands clinical workflows. The EMR integration he architected saved our nursing staff countless hours of double documentation. He speaks both code and clinical logic fluently."

Dr. Sarah Jenkins
Chief Medical Information Officer
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"When we needed to pivot our entire platform to support a massive influx of telehealth visits, Elias engineered a scalable microservices architecture that handled the load flawlessly without compromising PHI security."

Marcus Vance
VP of Engineering, CareConnect
"

"The predictive readmission model Elias developed for our network was a game-changer. It transformed our approach from reactive care to proactive intervention. Highly recommended for any serious health-tech mission."

Elena Rostova
Director of Data Science, NovaCare

Secure Comms Layer

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