I build digital health and data products that scale real-world operations
Helping NGOs, clinics, and startups ship reliable software, dashboards, and AI automations — especially in resource-constrained contexts like Haiti.
About Me
Biography
I'm Pierre Robentz Cassion, a full-stack developer and data specialist who builds production-ready systems for health, data, and AI applications. My work focuses on resource-constrained environments — especially in Haiti — where reliability, offline functionality, and practical deployment matter more than technology trends. I've shipped digital health platforms, M&E dashboards, and AI-powered tools that serve real users in the field.
Academic Background
Graduate of the Faculty of Sciences, State University of Haiti (UEH), with strong foundations in electronics engineering and computer systems. Currently pursuing the MBDS Master's (Mobility, Big Data and Systems Integration), an international excellence program with Université Côte d'Azur (France).
What I Build
Digital Health Systems
EHRs, patient workflows, offline-first mobile apps, and program data collection systems — built for clinics, NGOs, and health programs that need reliable field deployment.
Data & Dashboards
M&E dashboards, SQL-based reporting, and decision support tools that turn program data into actionable insights for stakeholders and funders.
AI & Automations
Chatbots, classification systems, multilingual AI assistants, and workflow automation — applied to real problems like malnutrition detection and PMTCT monitoring.
Full-Stack Development
Complete software delivery — from architecture and APIs to deployment pipelines and production support — using .NET, React, Python, and cloud infrastructure.
Featured Work
Real projects shipped to production — not case studies or proposals.
NutriCareHT — AI-Powered Nutrition App
CurrentCaris Foundation International
Built a multilingual nutrition mobile app (iOS/Android) with AI-powered meal planning, photo recognition for ingredients, and direct connection to certified nutritionists. Serves patients, nutritionists, and families across Haiti with support for English, French, and Haitian Creole.
Role
Lead Developer & IT Manager
Stack
Flutter, Firebase, AI/ML Integration, Cloud Functions
Impact
Thousands of users tracking nutrition goals with personalized meal plans and professional support. GDPR and HIPAA compliant.
Tyekem — AI-Powered Connection Platform
Personal Project
Built a complete dating and networking platform with AI-powered matching algorithm, verified profiles, real-time chat with photo/voice/video support, and privacy-first architecture. Serves 10K+ active users with 50K+ successful matches.
Role
Full-Stack Developer & Architect
Stack
React, Node.js, PostgreSQL, AI/ML, Real-time WebSockets, Cloud Infrastructure
Impact
Production platform with 4.8★ rating and 95% match success rate. Demonstrates full product lifecycle from concept to scaled deployment.
MLHaiti & Analytics Contributions
Community Impact
Applied machine learning and data analytics to health and social challenges in Haiti, contributing to community-driven initiatives and open-source projects.
Role
ML Engineer & Data Analyst
Stack
Python, scikit-learn, pandas, Power BI
Impact
Practical AI applications for malnutrition detection, HIV monitoring, and public health analytics.
CommCare Deployment Support
Dimagi (USA)
Supported large-scale CommCare platform deployments for global health initiatives.
Role
Project Analyst Consultant
Stack
CommCare, Python, Mobile Data Collection
Impact
Enabled NGOs and health programs to scale mobile data collection in challenging environments.
Impact & Outcomes
10,000+
Program beneficiaries tracked through nutrition monitoring systems deployed across multiple health facilities in Haiti.
Production Systems
Digital health platforms, dashboards, and AI tools running in real field operations — not demos or prototypes.
Field-Ready
Built for resource-constrained environments with offline functionality, low bandwidth, and practical operational constraints.
Community Impact
Contributions to MLHaiti and open-source projects applying data and AI to real health and social challenges.
How I Work
A structured approach to delivering reliable systems — from requirements to production.
Discovery
Understanding your operations, users, constraints, and success criteria — not just requirements.
Design & Prototype
Wireframes, architecture, and prototypes to validate approach before full development.
Build & Deploy
Iterative development with regular check-ins, testing, and deployment to production environments.
Support & Iteration
Post-launch support, user training, and iterative improvements based on real field usage.
Typical project timeline: 2-6 months depending on scope and complexity.
Why Work With Me
Full-Stack Delivery
I ship complete systems — not just code. From requirements to deployment, I handle the full lifecycle with production-grade discipline.
Field-Proven Experience
My work runs in real operations across Haiti and beyond. I understand offline requirements, low bandwidth, and operational constraints that matter in the field.
International Expertise
Experience working with Dimagi, international NGOs, and cross-border teams — I understand donor requirements and global health standards.
Pragmatic Solutions
I focus on what works. No unnecessary complexity, no hype — just reliable systems that solve real problems and deliver measurable outcomes.
Let's Build Something That Works
If you need reliable digital health, data, or AI systems — especially for challenging environments — let's talk about your project.
Free 30-minute consultation