Software Engineer | Machine Learning Specialist | Compiler Optimization | AI Researcher
📧 cbkshadow@gmail.com | 📞 (813) 203-0312
🔗 LinkedIn | 🔗 GitHub
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.
- 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
- 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
- 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 computing (AWS, Google Cloud, Azure)
- Self-hosted AI solutions, on-premise large-scale deployments
- Infrastructure-as-Code (IaC) and containerization with Docker & Kubernetes
- Secure coding practices, self-hosted LLM security models
- Privacy-focused AI development, encryption, and scalable architectures
- Security auditing for machine learning models
Role: Machine Learning & Open Source Developer
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Compiler Optimization:
- Achieved 15% reduction in Swift compiler compile times
- Improved LLVM optimization passes for performance gains
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AI-Driven Development:
- Built AI-driven developer tools, improving predictive accuracy by 20%
- Developed ML-enhanced debugging tools for software developers
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Self-Hosted AI Projects:
- Led privacy-first AI projects, ensuring data security in self-hosted environments
- Optimized AI inference pipelines, reducing latency by 35%
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Open-Source Contributions:
- Contributed to Swift.org, focusing on compiler enhancements
- Maintained and developed LLVM optimization modules
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
- 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
- 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
- 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
- 🎓 Bachelor of Science in Computer Science – University of Florida (2017)
- 📜 Certified Machine Learning Specialist – Coursera (2021)
- 📜 Swift Programming Certification – Apple Developer Academy (2019)
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
📧 cbkshadow@gmail.com
📞 (813) 203-0312
🔗 LinkedIn
🔗 GitHub
🔗 Portfolio
- 🎯 Swift Compiler Optimizations → 15% faster compile times
- 🎯 AI-Driven Debugging Tools → 20% more accurate predictions
- 🎯 Self-Hosted LLMs → 100+ users scaled in secure environments
- 🎯 LLVM & MLIR Contributions → Open-source projects & research
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!