Building scalable ML/AI systems that bridge research and production. Published researcher with 4 papers, specializing in distributed computing, MLOps, and production AI deployment.
- 🌍 Based in Texas, USA
- ✉️ Contact me at contact@davidmike.io
- 🎓 MS Computer Science @ UTPB (GPA: 3.9/4.0)
- 🚀 Currently building: LLM trading infrastructure, IT infrastructure company
- 🧠 Learning: Advanced MLOps, Kubernetes CKA, LLM optimization
- 🤝 Open to: AI Infrastructure roles, consulting opportunities
- 💼 Managing 130+ person operation remotely while in school
- 🏗️ Home Lab: 6-node Kubernetes cluster for ML experiments (30+ cores, 140GB RAM)
- 📊 LLM Trading Platform: Building production sentiment analysis → multi-agent trading system
- 🔬 Arctic Wildlife Monitoring: Lead author on multimodal learning system (98.4% accuracy)
- 🏢 IT Infrastructure Company: Launching B2B services in Odessa/Midland
- MLOps: Model Serving • Distributed Training • GPU Optimization • Feature Stores • A/B Testing
- Infrastructure: Kubernetes • Docker • Terraform • CI/CD • GitOps • Monitoring (Prometheus/Grafana)
- HPC: SLURM • MPI • Multi-node Training • Nitrous Cluster (224 cores)
- Languages: Python • Go • SQL • Bash • JavaScript • C++
📚 4 Published Papers in ML/AI
- Lead Author: "Scalable Multimodal Learning for Arctic Wildlife Monitoring" (2024)
- Co-Author: "Adaptive Learning Systems Using Distributed RL" (2024)
- Focus: Distributed systems, edge AI deployment, environmental monitoring
- 🎓 MS Computer Science - University of Texas Permian Basin (Expected: May 2026)
- ☁️ AWS Certified Cloud Practitioner
- 📚 AWS Developer Associate (Exam: Monday)
- 🔒 CompTIA Security+ (In Progress)
- 🌐 CompTIA Network+
My GitHub Stats
"Building the infrastructure that powers tomorrow's AI"