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alphiephalphie/README.md

👋🏽

Software engineer and problem solver who thrives on delivering outcome-driven solutions. With over 6 years of experience in the full software development life cycle, I specialize in building scalable, reliable, and privacy-first systems. My expertise spans cloud-native architectures, AI-driven tools, and Apple development, but what drives me is solving complex challenges for both users and teams. I approach every project with a focus on efficiency, impact, and innovation.


🚀 Key Projects

Tudo

A data ingestion platform designed to automate the collection, transformation, and storage of open data at scale.

  • AI-ready data pipelines with metadata generation and schema validation
  • Built for privacy, scalability, and data consistency
  • High-performance, event-driven architecture for efficient data processing

Chronicle: Privacy-First Personal Knowledge System

A comprehensive personal knowledge management app designed with simplicity, security, and efficiency in mind.

  • End-to-end encryption for complete privacy and control over your data
  • Offline-first with iCloud sync for seamless access across devices
  • Store and organize thoughts, events, reading lists, and important details—all in one place
  • Built to be AI-ready on-device, enabling future intelligent features with full data privacy

💡 My Approach

I’m an outcome-driven problem solver—I tackle complex challenges with a focus on delivering value. Whether it’s automating workflows, scaling systems, or creating seamless user experiences, I’m always looking for ways to optimize, simplify, and innovate. I thrive when working with cross-functional teams to build solutions that deliver results both for users and for the business.


🛠️ Tech Stack & Expertise

  • Languages: Python, Swift, Java, SQL
  • Cloud: AWS (Lambda, S3, DynamoDB, Step Functions), CloudKit, iCloud
  • Tools: Git, Terraform, Docker, Jenkins, SwiftUI
  • Data: ETL pipelines, event-driven architectures, Snowflake, pandas
  • Privacy: End-to-end encryption, local storage, GDPR compliance

🤝 Let’s Connect

I’m always open to discussing complex engineering challenges, exploring new technologies, and collaborating on projects that solve real-world problems. If you're interested in cloud architecture, data engineering, or Apple development, let's connect and chat about how we can drive impact together.

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  1. alphiephalphie alphiephalphie Public

  2. RxVision RxVision Public

    Flatiron Capstone; Computer Vision model to identify tablets and capsules in pursuit of improving medication safety. Modeled with densely-connected, convolutional neural network, and CNN with trans…

    Jupyter Notebook 5 1