Senior Technical Product Manager | AI-Native Transformation & Cloud-Native Network Functions
20+ years leading product strategy in telecom, now focused on the convergence of AI/ML and cloud-native 5G network infrastructure. Defining AI-native transformation strategies for complex Kubernetes-based network functions — embedding ML-driven lifecycle management, AIOps, and intelligent automation into telecom products.
Lifelong AI/ML engagement since my university thesis on Hopfield Neural Networks (1998). I maintain a personal lab and build projects to stay hands-on with the technologies shaping the products I manage.
Three generations of ML-based intrusion detection, each building on the previous:
| Project | Description | Stack |
|---|---|---|
| Cognitive-Intrusion-Detection-System | Flagship IDS: 4 detection engines (RF, Isolation Forest, LSTM Autoencoder, rules), ensemble scoring with adaptive weights, FastAPI with JWT/RBAC, GeoIP enrichment, alert correlation. CI/CD. | Python PyTorch FastAPI Scapy Docker CI/CD |
| CognitiveNetworkAnomalyDetector | Triple-engine ensemble: Isolation Forest + LSTM Autoencoder + rule-based. Scapy capture, 18 per-IP features. | Python PyTorch Scapy ML Tracking Streamlit |
| ML-IDS | Full-stack ML intrusion detection. Random Forest + Stacking on CIC-IDS2017 (78 features), real-time WebSocket dashboard. | Python FastAPI PostgreSQL scikit-learn ML Tracking |
| Project | Description | Stack |
|---|---|---|
| HopfieldAssigmentProblemSolver | Assignment problem solver using Hopfield networks. Hybrid microservices: Go/Gin API gateway + Python/Flask solver. | Go Python Docker Nginx CI/CD |
| HopfieldSPP | Shortest path solver via Hopfield network energy minimization. Three model versions scaling to 5000+ nodes with attention mechanisms. | Python TensorFlow FastAPI |
| Project | Description | Stack |
|---|---|---|
| Research-Agent | Autonomous research agent with 5 personas, 10 parallel sources, multi-source RAG, iterative re-planning, multi-format export. | Python LangGraph ChromaDB Ollama Streamlit |
All projects run on a self-hosted infrastructure: multi-node network with automated CI/CD, private Docker registry, Git server, code quality analysis, centralized monitoring, and distributed backups. Every project follows production-grade practices — automated testing, containerized deployments, and continuous integration.
Languages Python Go Rust
ML/AI TensorFlow PyTorch scikit-learn Prophet ML Tracking LangGraph LangChain ChromaDB Ollama
Infrastructure Docker Kubernetes CI/CD Monitoring Service Visualization Service Quality Analysis FastAPI
All projects are open source and welcome contributions. Check out issues labeled good first issue or help wanted across all repos.