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Donald Filimon

Software Engineer | Machine Learning Specialist | Compiler Optimization | AI Researcher
📧 cbkshadow@gmail.com | 📞 (813) 203-0312
🔗 LinkedIn | 🔗 GitHub


🏆 Overview

Donald Filimon is an innovative software engineer and AI specialist with expertise in compiler optimization, machine learning, and large-scale systems. With a strong background in LLVM, Swift, and self-hosted AI solutions, he has made significant contributions to Apple and various open-source communities.

His work focuses on:

  • AI-driven compiler optimizations for improved performance
  • Building machine learning models for predictive analytics
  • Self-hosted AI deployments to ensure privacy and scalability
  • Large-scale system architectures for enterprise-level solutions

Donald has a passion for open-source development, performance engineering, and AI research, consistently pushing the boundaries of software efficiency and automation.


🛠 Core Competencies & Skills

Programming & Development

  • Languages: Python (Expert), C++ (Advanced), Swift (Proficient), Rust (Intermediate)
  • Frameworks & Tools: LLVM, MLIR, TensorFlow, PyTorch, FastAPI, Flask, Docker, Kubernetes
  • Software Architecture: API design, microservices, distributed systems, high-performance computing

AI & Machine Learning

  • Deep learning, reinforcement learning, predictive modeling
  • NLP (Natural Language Processing), LLM (Large Language Models), AI automation
  • Training & fine-tuning AI models for high-accuracy applications

Compiler & Performance Engineering

  • LLVM compiler optimization, Swift compiler enhancements
  • Reduced compile-time by 15% at Apple through performance optimizations
  • Expertise in parallel computing and low-level systems programming

Cloud & Infrastructure

  • Cloud computing (AWS, Google Cloud, Azure)
  • Self-hosted AI solutions, on-premise large-scale deployments
  • Infrastructure-as-Code (IaC) and containerization with Docker & Kubernetes

Security & Scalability

  • Secure coding practices, self-hosted LLM security models
  • Privacy-focused AI development, encryption, and scalable architectures
  • Security auditing for machine learning models

💼 Professional Experience

Apple Inc. (2018 – Present)

Role: Machine Learning & Open Source Developer

  • Compiler Optimization:

    • Achieved 15% reduction in Swift compiler compile times
    • Improved LLVM optimization passes for performance gains
  • AI-Driven Development:

    • Built AI-driven developer tools, improving predictive accuracy by 20%
    • Developed ML-enhanced debugging tools for software developers
  • Self-Hosted AI Projects:

    • Led privacy-first AI projects, ensuring data security in self-hosted environments
    • Optimized AI inference pipelines, reducing latency by 35%
  • Open-Source Contributions:

    • Contributed to Swift.org, focusing on compiler enhancements
    • Maintained and developed LLVM optimization modules

Previous Company (2016 – 2018)

Role: Software Engineer

  • Developed scalable machine learning pipelines, increasing processing efficiency by 30%
  • Enhanced system scalability, enabling a 50% increase in concurrent users
  • Designed and implemented microservices for distributed AI processing
  • Worked with cross-functional teams to deliver high-performance software solutions

🚀 Significant Projects

Abbey & Aviva – AI Assistant for Software Automation

  • Technologies: Python, NLP, Transformer Models, GPT-like AI
  • Impact:
    • Automated 40% of repetitive coding tasks
    • Integrated into developer workflows for AI-assisted debugging
    • Enhanced productivity through real-time code suggestions

WDBX (Webuix) – Self-Hosted WebUI for LLMs

  • Technologies: Python, Docker, Flask, Kubernetes
  • Impact:
    • Built self-hosted WebUI for LLMs with full security control
    • Scaled to 100+ concurrent users
    • Ensured privacy-focused AI execution without third-party dependencies

Swift Compiler Performance Enhancements

  • Technologies: Swift, LLVM, MLIR
  • Impact:
    • 15% faster compilation times in production environments
    • Enhanced memory efficiency for large-scale Swift applications
    • Contributed to Swift.org open-source improvements

🎓 Education & Certifications

  • 🎓 Bachelor of Science in Computer ScienceUniversity of Florida (2017)
  • 📜 Certified Machine Learning SpecialistCoursera (2021)
  • 📜 Swift Programming CertificationApple Developer Academy (2019)

🤝 Collaborative & Professional Opportunities

Donald is actively seeking opportunities to:
Collaborate on AI research projects and compiler optimizations
Contribute to open-source AI frameworks
Develop privacy-focused AI models
Mentor developers in AI, ML, and low-level programming

He is open to partnerships in:

  • AI-driven compiler technology
  • Self-hosted LLM solutions
  • Cloud-based ML deployments
  • Performance tuning & optimization strategies

📩 Contact Information

📧 cbkshadow@gmail.com
📞 (813) 203-0312
🔗 LinkedIn
🔗 GitHub
🔗 Portfolio


🎯 Key Achievements & Highlights

  • 🎯 Swift Compiler Optimizations15% faster compile times
  • 🎯 AI-Driven Debugging Tools20% more accurate predictions
  • 🎯 Self-Hosted LLMs100+ users scaled in secure environments
  • 🎯 LLVM & MLIR ContributionsOpen-source projects & research

📬 Get in Touch

If you’d like to collaborate, discuss research, or hire Donald for a cutting-edge AI project, feel free to reach out via email or LinkedIn.

💬 Available for public speaking, mentorship, and advisory roles in AI, ML, and compiler engineering.

🚀 Let’s innovate together!

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