Senior Technical Program Manager | AI Systems Builder | Enterprise Delivery
I deliver enterprise platforms that power critical business outcomes — from identity systems serving 700K users to data platforms unifying 89M records across 28+ sources. I've led $20M+ portfolios at Salesforce with 5/5 CSAT and cut delivery cycles by 67%.
Now building AI systems that solve the problems I've spent a career navigating.
Three projects that show the core themes: real-time intelligence, agentic AI, governance, and developer automation.
| Project | What It Does | |
|---|---|---|
| 🚀 | Project Aurora Echo | Real-time audio → transcription → reasoning → structured memory. Start here. |
| ✅ | Compliance Validation Agent | Governance-first agent behavior, rule enforcement, structured validation. |
| 🌿 | Agentforce Data-Aware Agent | Auto-discovers org schema → enforces FLS/sharing → runs safe Apex/Flow. |
Production-grade tools for teams deploying AI agents in enterprise environments. Each solves a real problem I encountered building agentic systems at scale.
| Tool | Problem It Solves | Link |
|---|---|---|
| Governance Graph Compiler | Compliance teams spend weeks manually mapping controls to audit evidence. This automates SOC2/SOX control-to-evidence traceability. | → Repo |
| Agentic Evaluation Sandbox | AI agents are non-deterministic — traditional testing doesn't work. This provides regression testing with scenario batteries and baseline comparisons. | → Repo |
| Agentic Memory Graph Engine | Most agents are stateless and forget everything. This adds persistent, queryable memory using RAG and knowledge graphs. | → Repo |
| Self-Healing Agentic Workflows | AI pipelines crash when APIs timeout or LLMs hallucinate. This adds automatic retries, fallback chains, and circuit breakers. | → Repo |
Built with Python. Designed for teams who need reliability, compliance, and observability in their AI deployments.
Standalone repos with consistent install flow, CLI entry points, and CI. The fastest hands-on tour.
| Tool | What It Does | Quickstart |
|---|---|---|
aes |
Scenario runner with Doer/Judge stubs → evidence + run summary | → agentic-evaluation-sandbox |
ggc |
Policy Markdown → governance graph exports | → governance-graph-compiler |
amg |
Ingest meeting events → graph memory + explain paths | → agentic-memory-graph-engine |
shaw |
Workflow run with failure → retry → recovery evidence | → self-healing-agentic-workflows |
tea |
Temporal planning by deps/due dates → plan + state | → temporal-executive-agent |
📦 Run the whole suite: agentic-ai-portfolio
| Project | Description |
|---|---|
| Compliance Validation Agent | Governed validation for enterprise workflows |
| Architecture Review Agent | Structured review of HLD/PRD artifacts |
| MCP Conversational Data Agent | Conversational access to system data via MCP |
| Agentic Workflow Simplifier | Multi-step reasoning and workflow execution |
| AI Deployment Experience Bot | Deployment guardrails in chat |
| Semantic Test Coverage Agent | Ensures SDLC testing depth |
| Living Docforce Agent | Keeps documentation aligned with systems |
| Performance Test Generator | Agent-driven performance/load test generation |
| DevEx Environment Bootstrap Agent | Automated developer environment setup |
| Voice Robustness Testing Agent | Evaluates robustness of ASR-driven interactions |
| Project | Description |
|---|---|
| Project Aurora Echo | Real-time meeting copilot |
| Realtime AI Assistant | FastAPI template |
| Streamlit Assistant v4 | Streamlit + ASR |
| FastAPI Assistant v3 | Fast backend variant |
| Streamlit Assistant v2 | Early ASR → LLM pipeline prototype |
| Project | Description |
|---|---|
| Agentforce Data-Aware Agent | Metadata-aware safe action execution |
| Dynamic Action | Generates Apex actions |
| Dynamic Action (Invocable) | Flow-compatible action generator |
| Project | Description |
|---|---|
| Backward-Chaining Engine | Goal-driven inference (Common Lisp) |
| Car Expert System | Rule-based troubleshooting (Common Lisp) |
| Project | Description |
|---|---|
| Chess Analyzer v2 | Web-based PGN analysis |
| Chess Analyzer | PGN parsing engine (Python) |
| Project | Description |
|---|---|
| Thermomix Recipe Genius | AI-driven recipe generator |
| Bongo Cat Monitor Remix | Animated desktop monitor companion |
| Domain | Proof Points |
|---|---|
| Data Platforms | 89M records, 28+ sources, 95.48% match rates, 99% identity unification |
| Identity & Security | 700K users, 200 application SSO, Okta/SAML/OIDC at scale |
| Program Scale | $20M+ portfolios, multi-cloud (Sales/Service/Data/Marketing Cloud) |
| Customer Outcomes | 5/5 CSAT, "Excellent" on Risk Management and Communication |
| Process Optimization | Cycle times cut from 6 weeks → 2 weeks (67% reduction) |
MIT AI/ML Certificate (2024) • Scrum Alliance CSM
Salesforce Certified: Data Cloud Consultant • Administrator • AI Associate • Financial Services Cloud • Service Cloud • Sales Cloud
Exploring roles where enterprise delivery meets AI/ML — particularly in identity, data platforms, and compliance automation.
📧 nmaine@gmail.com • 🔗 LinkedIn • 🌐 nathanmaine.com • 📍 Boston, MA (Remote)