I am an Enterprise Architect and AI Strategist with a deep background in engineering, cloud infrastructure, and application security (Professional Engineer, 21 patents, former Director at AT&T) focused on designing and executing secure, scalable, and business-driven AI strategies.
My passion is architecting robust, high-value solutions. My architectural philosophy balances elegance and simplicity with a pragmatic focus on execution; I prioritize accelerating the path from concept to robust, working code.
This GitHub is my professional portfolio, showcasing enterprise-ready projects in Generative AI, MLOps, and Cloud-Native Security.
Aletheia — Serverless AI Context Analysis Engine A specialized Chrome Extension backend built on AWS Lambda and LangGraph.
- Architecture: Event-driven, "Scale-to-Zero" Serverless (Python 3.12).
- Engineering: "Bare Metal" infrastructure (Bash/AWS CLI) with no abstraction layers.
- AI Logic: Stateful Agentic workflows with local guardrails and validation.
- Focus: Bridging static web content with semantic AI understanding.
GlucoPulse.ai (AI Health) A comprehensive Reference Implementation for a health data platform.
- Focus: Demonstrating a complete Model Lifecycle (MLOps) for time-series data.
- Tech: Integrated Snowflake Cortex, Azure ML, and LangChain for GenAI-driven RAG.
NEC 2017 Analyzer A domain-specific Personal Utility for parsing National Electric Code data.
- Context: Built to automate code analysis tasks relevant to my Professional Engineer (PE) work.
- Tech: Python-based parsing and analysis scripts utilizing LLM assistance for data extraction.
Iconoscope Enterprise Architecture Specification for an Azure-native video analysis platform.
- Status: Architecture & Design Phase.
- Scope: Defines the strategy for a governed MLOps lifecycle (Azure DevOps, MLflow) and a statistically-backed GenAI pipeline.
- Goal: Blueprint for scalable video insight synthesis.
- Engineering: "Bare Metal" infrastructure (Bash/AWS CLI) with no abstraction layers.
- AI Logic: Stateful Agentic workflows with local guardrails and validation.
- Focus: Bridging static web content with semantic AI understanding.
-
Iconoscope (AI Video Analysis): An enterprise-ready, Azure-native AI video analysis platform. This project demonstrates a complete AI strategy, a governed MLOps lifecycle (Azure DevOps, MLflow), and a statistically-backed GenAI (RAG) pipeline for insight synthesis.
-
GlucoPulse.ai (AI Health): An enterprise-grade AI health platform demonstrating a complete model lifecycle for time-series data, integrating Snowflake Cortex, Azure ML, and LangChain for GenAI-driven RAG.
-
NEC 2017 Analyzer (Domain Tool): A domain-specific tool for parsing and analyzing the National Electric Code, reflecting my background as a Professional Engineer (PE).
Frameworks: PyTorch • TensorFlow • scikit-learn • Hugging Face Transformers
LLMs: GPT-4 • Claude • Gemini • Prompt Engineering
Agent Systems: LangChain • LangGraph • LangSmith • Multi-Agent Orchestration
Computer Vision: OpenCV • YOLO • AWS Rekognition • Azure Computer Vision
NLP: BERT • Intent Classification • NER • Text Classification • Semantic Search
Vector Databases: ChromaDB • FAISS • Pinecone
Architectures: RAG Systems • Embeddings • Semantic Search
AWS: SageMaker • Bedrock • Lambda • S3 • EC2 • DynamoDB • Rekognition
Azure: Azure ML • Cognitive Services • Computer Vision • Functions • DevOps
GCP: Vertex AI • Gemini API • NotebookLM
Snowflake: Cortex AI • Snowpark • ML Functions • Time-Series Analysis
MLOps: MLflow (Versioning, Tracking) • Model Deployment/Monitoring • Lifecycle Management
DevOps: Docker • Jenkins • GitHub Actions • Azure DevOps • CI/CD Pipelines
Code Quality: SonarQube • Penetration Testing • Vulnerability Management
Databases: PostgreSQL • DynamoDB • Redis • Snowflake
Tools: Pandas • NumPy • Jupyter • Poetry
Pipelines: ELT/ETL Design • Data Quality • Feature Engineering • Data Governance
Languages: Python • JavaScript • TypeScript • SQL • C++
Frameworks: FastAPI • Flask • RESTful APIs
Low-Code ML: H2O.ai • SageMaker Canvas • Azure ML Studio
Certifications: CISSP • CCSP • AWS Security Specialty
Practices: Application Security Architecture • OWASP • Penetration Testing
AI Governance: Responsible AI • Bias Mitigation • Data Privacy & Compliance
Tools: Power BI • Tableau • Streamlit • Gradio • SQL Dashboards
AI Assistants: Claude • ChatGPT • Gemini • GitHub Copilot
IDE: VSCode • Poetry • pipx
Management: Jira • Agile • Sprint Planning
Leadership: Architecture Reviews • Team Leadership • SVP Presentations • Technical Mentorship
Strategy: ROI Modeling • Business Cases • Strategic Roadmaps
| | |
I am always open to discussing complex architectural challenges, new project ideas, and strategic opportunities.