Personal details

Charles F. - Remote software architect

Charles F.

Founder, Software Engineer (AI/ML & Mobile)
Based in: 🇺🇸 United States
Timezone: Eastern Time (US & Canada) (UTC-4)

About

Applied AI Engineer with 11+ years of software engineering experience, an MSc in AI/ML, and a strong foundation in mobile development. I specialize in bridging cutting-edge AI capabilities with practical business applications.

My extensive mobile background includes scaling platforms to 1M+ users and developing apps with exceptional metrics (17-minute session averages, 4.9 App Store ratings). This experience directly informs how I approach AI implementation - focusing on solutions that are reliable, efficient, and deliver measurable business value.

Since 2022, I've expanded my expertise to include Python-based AI development, with particular focus on LLM evaluation, prompt engineering optimization, and creating hybrid Mobile+AI applications that leverage both areas of my technical knowledge.

Work Experience

Founder | Software Engineer (AI/ML & Mobile Focus)
AppSimple LLC | May 2013 - Present
Python
Git
Firebase
Docker
React
Pipelines
Objective-C
Swift
iOS
CI/CD
Mobile App Development
Fastapi
Huggingface
Software architecture
AI
Prompt Engineering
OpenAI APIs
Machine Learning Frameworks

Applied AI & Automation:

  • Design and implement practical AI solutions to enhance workflows, automate processes, and unlock business value.
  • Integrate Large Language Models (LLMs), developing custom pipelines and implementing advanced prompt optimization techniques using frameworks like DSPy.
  • Develop AI strategies, evaluate model performance, and build intelligent document processing solutions.
  • Focus on creating AI applications that are reliable, deployable, and deliver measurable results.

Expert Mobile Development:

  • Build high-quality, user-centric native iOS and Android applications, drawing on extensive experience shipping apps used by hundreds of thousands.
  • Develop cross-platform solutions and manage the full mobile product lifecycle from concept to launch and iteration.
  • Specialize in creating engaging mobile experiences, content delivery platforms, and subscription-based applications.

Hybrid Solutions:

  • Architect and develop integrated systems that combine intuitive mobile interfaces with powerful AI capabilities.

My approach is grounded in pragmatic engineering principles, ensuring that whether the solution involves AI, mobile, or both, it is built for scalability, usability, and real-world impact.

Mobile Developer → Lead Mobile Developer
CDIT LLC @ Spear Education, LLC | Dec 2019 - Jun 2023
Java
Git
Instruments
Firebase
Leadership
Kotlin
Deployment automation
Swift
GraphQL
CI/CD
RESTful API
GitHub Actions
Software architecture
  • Spearheaded development of flagship dental education platform achieving exceptional metrics: 17-minute average session duration, near-perfect 4.9 App Store rating (hundreds of reviews), thousands of monthly active users, and 30% reduction in customer churn
  • Engineered cross-app code sharing framework that reduced new app development time by ~50% through standardizing 10,000+ lines of core functionality including authentication, UI architecture, and data management across multiple applications
  • Increased development reliability by redesigning deployment infrastructure and standardizing version control processes, reducing system downtime incidents from multi-day outages to hours while maintaining consistent monthly release cycles for team of 4 developersRemote (US)

Projects

Multi-Modal Contact Information Extractor
HTML/CSS
Python
Xcode
GitHub
Full Stack
React
Pipelines
Cloudflare
Swift
VS Code
RESTful API
GitHub Actions
Cloud Computing Platforms
Fastapi
Huggingface
Prompt Engineering
OpenAI APIs
LLM
Google gemini
Multi Modal models
Model evaluation
Dspy
Developed a comprehensive LLM Server platform that enables seamless integration with various AI providers including OpenAI, Anthropic, HuggingFace, and Google Gemini. This modular system features a robust pipeline architecture for processing multi-modal content (text and images), with specialized functionality for business card contact extraction. Built with FastAPI and DSPy, the application includes advanced error handling, rate limiting, circuit breaker patterns, and comprehensive logging. The infrastructure utilizes Cloudflare tunneling with automated deployment workflows to Modal cloud computing, supporting both staging and production environments. Key technical highlights include type-safe implementations with Pydantic, robust error handling with detailed logging, and a flexible plugin architecture that allows for easy extension with new AI capabilities.
Beyond Manual Prompts
Python
Data Pipelines
Huggingface
Data pipeline design
Prompt Engineering
OpenAI APIs
LLM
Model evaluation
Llama Based models
Dspy
Developed a modular framework for evaluating large language models against standard benchmarks like MMLU. The system features automated prompt optimization using DSPy, supports multiple model providers (Hugging Face, OpenAI), and includes comprehensive reporting capabilities. Achieved near state-of-the-art results through systematic prompt engineering and optimization.

Education

CSU Global
Master's degree・AI & ML
Apr 2023 - Jun 2024
UCLA
Bachelor's degree・Neuroscience
Sep 2000 - Jun 2006

Certifications & Awards

Neural Networks for Machine Learning
Coursera | Jan 2017
Machine Learning
Coursera | Sep 2016