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πŸš€
Bring the right things into existence
πŸš€
Bring the right things into existence

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paulpascal/README.md

πŸ‘‹ Hi! I'm Paul

Software & Data Engineer | Data Platforms & Interoperability I build scalable applications, data platforms, and machine learning solutions that drive measurable impact. I'm passionate about turning complex problems into elegant, high-performance systems.


πŸ’‘ About Me

  • 9 years of experience building software and data solutions.
  • Skilled in full-stack development, mobile applications, and big data systems.
  • Currently building open-source digital health systems for ministries of health in West and East Africa, including AI workflows (RAG, offline models) with human review.
  • Led engineering teams, owned products end to end, and mentor developers and partner teams.
  • Experienced with public-interest platforms: multi-country users, low-bandwidth settings, data people can trust.
  • Work in English and French (native French speaker).
  • Driven by impact and innovation, with a strong focus on open-source collaboration.

πŸš€ What I Do

πŸ’» Software Engineering

  • Backend: Node.js (NestJS, Express, Fastify), Python (Django, Flask, FastAPI)
  • Frontend: React.js, Next.js, Angular, Vue.js, TailwindCSS, MaterialUI
  • Mobile: Flutter, Kotlin, Android
  • DevOps: Docker, Kubernetes, Terraform, CI/CD, AWS (incl. EKS)
  • Databases: SQL & NoSQL (PostgreSQL, MongoDB, CouchDB, Elasticsearch)
  • Search: PostgreSQL full-text search, Elasticsearch, vector search with embeddings
  • Integrations: payment and mobile-money providers, third-party APIs and webhooks
  • Multilingual & low-bandwidth: bilingual EN/FR products, offline-first and mobile-friendly apps

πŸ“Š Data Science & Big Data

  • Machine Learning: Predictive modeling, feature engineering, ML pipelines
  • Applied AI: RAG, embeddings, offline models, AI-agent workflows with human review
  • Data Engineering: ETL, dbt, streaming pipelines, real-time analytics
  • Data Quality: validation, deduplication and record matching across sources
  • Big Data: Spark, Hadoop, Kafka, distributed systems
  • Data Analytics: Turning large-scale data into actionable insights (Superset, Klipfolio, R, pandas, etc.)
  • Interoperability: DHIS2, OpenFN

🌟 Open Source & Impact

  • Contributor to the Community Health Toolkit, a digital public good for community health.
  • Contribute to open-source projects that improve developer tools and data workflows.
  • Focused on building solutions that scale, perform, and empower others.

πŸ“« Connect with Me

Pinned Loading

  1. cht-core cht-core Public

    Forked from medic/cht-core

    The CHT Core Framework makes it faster to build responsive, offline-first digital health apps that equip health workers to provide better care in their communities. It is a central resource of the …

    JavaScript

  2. cht-android cht-android Public

    Forked from medic/cht-android

    A native Android container for Community Health Toolkit (CHT) applications

    Java

  3. medic/cht-user-management medic/cht-user-management Public

    TypeScript 2 7