AIFull-Stack Engineer

Curetrax

Remote Monitoring Platform for Blood Cancer Care

What we built

CuretraxAllo for allogeneic stem-cell transplant (aHSCT) patients, CuretraxCAR19 for CAR T-cell (CD19-targeted) patients, CuretraxDoc for clinicians, and Curetrax Survey for structured data collection.
CuretraxCAR19 addresses treatment-specific challenges including Cytokine Release Syndrome (CRS), infection susceptibility, and Immune Effector Cell Associated Neurotoxicity (ICANS).
Clinical basis published in a ScienceDirect paper on a patient-centered mobile application for aHSCT patients, with Curetrax team members listed among the paper's disclosures.
Traction cited: 5k+ installations, treatment-specific monitoring, and real-time alerting as headline metrics.

Developed a React Native mobile application for transplant and CAR T-cell patients.
Enabled symptom reporting, medication tracking, quality-of-life assessments, and treatment-specific questionnaires.
Built workflows for GvHD monitoring, neurological assessments, Mini-Cog evaluations, and daily health check-ins.
Integrated wearable device synchronization and real-time health data collection.

Built a dedicated mobile application for physicians and care teams.
Provided real-time access to patient alerts, vital signs, treatment adherence, and symptom trends.
Enabled clinicians to review patient status remotely and respond to urgent health events.

Developed a clinician-focused administration portal for patient monitoring and care management.
Built dashboards displaying vital trends, symptom progression, medication adherence, and treatment outcomes.
Implemented alert management systems for abnormal physiological readings and patient-reported concerns.
Enabled longitudinal patient tracking throughout treatment and recovery periods.

Developed a second administrative portal for hospitals, research institutions, and program administrators.
Managed users, treatment programs, surveys, permissions, institutions, and operational reporting.
Supported multi-center deployments and research-oriented data collection initiatives.

Integrated Garmin smartwatch SDKs to continuously collect treatment-relevant physiological data.
Connected wearable temperature patch devices for continuous temperature monitoring.
Built ingestion pipelines to process heart rate, activity, sleep, temperature, and recovery metrics.
Implemented device synchronization monitoring and health-data validation workflows.

Designed and implemented a Retrieval-Augmented Generation (RAG) chatbot for patient support.
Enabled patients to receive treatment-specific guidance based on approved medical knowledge bases.
Supported contextual question answering related to medications, symptoms, recovery protocols, and care instructions.
Reduced support burden by providing immediate access to trusted information.

Developed event-driven monitoring systems using AWS services.
Implemented threshold-based alert generation for vital sign anomalies, symptom escalation, and treatment risks.
Built notification pipelines for patients, caregivers, and clinical teams.

Integrated AWS Chime for secure video consultations and patient-provider communication.
Supported messaging and virtual follow-up appointments directly within the platform.
Enabled remote care workflows without requiring hospital visits.

Built serverless backend services using AWS Lambda.
Implemented secure authentication and user management with AWS Cognito.
Leveraged AWS Timestream for high-volume time-series storage of wearable and physiological data.
Designed scalable event-processing and monitoring architectures optimized for healthcare workloads.

Developed survey engines supporting patient-reported outcomes and structured clinical research.
Built multilingual workflows supporting English, French, German, and Spanish.
Enabled longitudinal data collection across multiple hospitals and treatment centers.
Supported future AI and analytics initiatives through structured health-data pipelines.

What it does