Emman Ermitaño

Principal AI Engineer

Years Operational Experience

Projects Deployed

"I treat AI like any other critical infrastructure. It needs to be secure, predictable, and built to scale. Just solid engineering in production."

Engagement Protocol

You engage directly with a Principal AI Engineer.

I handle the architectural complexity from pipeline design to full-stack deployment. You maintain 100% ownership of the source code, API keys, and intellectual property.

My deployment lifecycle prioritizes security, auditability, and failure-mode gating. The AI Systems I build are meant to scale, documented to enterprise standards, and shipped through predictable sprints.

My Engineering Principles

Deterministic Execution

Probabilistic models are sandboxed. Core workflows remain strictly predictable and auditable.

Zero Black-Box

Complete architectural transparency. You retain 100% IP ownership and system telemetry.

Strict Cost Constraints

Inference compute is budgeted. Unbounded API calls are systematically gated from production.

My Credentials

Microsoft Certified

Azure AI Engineer

DataCamp Certified

Data Scientist Professional

Harvard Online

CS50 Computer Science

Univ. of Santo Tomas

B.A. Legal Management (Cum Laude)