Skills
Tech Stack
Full breakdown of languages, frameworks, tools, and platforms used across clinical AI research, data engineering, and systems architecture.
Programming Languages
Dart
· Flutter / mobile
Proficient
Python
· data science / ETL
Proficient
Rust
· systems / agents
Active
Java
· RESTful APIs / Spring
Skillful
TypeScript / JS
· web / tooling
Familiar
C++
· embedded / hardware
Familiar
SQL
· analytics / ETL
Proficient
PHP
· legacy web
Familiar
Frameworks
Web · Mobile · Backend · Healthcare
React
Flutter
Django
Express (Node.js)
SpringBoot
FHIR R4
Data Engineering
Streaming · Batch · Orchestration
Apache Kafka
Apache Spark
Apache Airflow
DVC
Strimzi
EpicOnFHIR
Databases
SQL · NoSQL · Distributed
PostgreSQL
MySQL
MSSQL
MongoDB
Cassandra
Redis
Memcache
Cloud & Infrastructure
AWS · Azure · HPC
AWS S3
AWS RedShift
AWS EC2
Azure Data Share
HiPerGator HPC
DevOps & Tools
Containers · Orchestration · Automation
Docker
Kubernetes
MiniKube
Ansible
Git
Linux
AI & Machine Learning
Federated · LLM · Clinical AI
NVIDIA Flare
NVIDIA Omniverse
NVIDIA Holoscan
GPT-4
LLaMA 3
Federated Learning
XAI
Clinical & Health IT
EHR · FHIR · OHDSI
FHIR R4
EpicOnFHIR
OHDSI / OMOP
EHR ETL
SDoH
Geocoding
IoT & Pervasive Sensing
ICU Monitoring · Ambient Sensing
IoT Sensors
PyQt
NVIDIA Holoscan SDK
Real-time Dashboards
Current Focus & Learning
terminal
Rust Systems
Building ClinicClaw and VERITAS — production-grade AI agent infrastructure in Rust
schema
Protocol Design
TypeSpec-based health data protocols — HAVEN for patient data sovereignty and consent management
account_tree
Decentralized AI
Federated learning approaches for privacy-preserving clinical AI across distributed hospital networks