HARRISON OLVERA / AI ENGINEERING OPEN TO REMOTE + DFW HYBRID ROLES

APPLIED AI • LLM PRODUCTS • AGENT WORKFLOWS

I BUILD AIPRODUCTS THATDO REAL WORK.

I connect models to data, tools, and human decisions—with clear limits, useful interfaces, and evidence you can inspect.

Harrison Olvera wearing black glasses, a charcoal blazer, and a warm off-white crewneck under red and blue studio lighting
01 / HUMAN + MODEL + TOOL

SELECTED PROJECTS

View case studies
Paperline homepage and document extraction interface
01

Paperline

Flagship · document intelligence

FOUNDATION

BACKGROUND
& PRACTICE

EDUCATIONBachelor's Degree in Software Development

DeVry University

EXPERIENCEWeb Developer

Vercity Consulting · Power Automate, Power Apps, SharePoint, PowerShell, and JavaScript PDF workflows

RAGstructured outputstool callingMCPmodel routinghuman-in-the-loopTypeScriptNext.jsReactPythonNode.jsREST APIsPostgreSQLpgvector

WORKING METHOD

AGENT DELIVERY
PROCESS

  1. 01
    Define

    Clarify the user, constraint, and observable outcome.

  2. 02
    Ground

    Map available data, tools, interfaces, and failure boundaries.

  3. 03
    Build

    Implement the smallest end-to-end working system.

  4. 04
    Evaluate

    Test behavior, edge cases, integrations, and evidence.

  5. 05
    Document

    Make the architecture, limits, and inspection path clear.

SELECTED SCHOOL WORK

Original portfolio

Four foundations that still show up in my AI systems work: security, physical interfaces, data pipelines, and testable software.

01SEC285

Security Operations Lab

Linux, Ubuntu, and Kali virtual machines used for MFA, PGP encryption, firewall policy, Nmap scanning, security policy design, and vulnerability assessment.

LinuxKaliPGPNmapSecurity policy
View original course deck
02CEIS101

IoT Smart-Home System

An ESP32 and Arduino system for door-state sensing, intruder-distance monitoring, and automatic lighting, tested with Tinkercad and physical IoT components.

ESP32ArduinoSensorsIoTTinkercad
View original course deck
03CEIS110

Python Weather Data Pipeline

A Python workflow that downloaded weather data into a database, queried it with SQL, exported and cleaned CSV data, and produced graphical analysis.

PythonSQLData cleaningCSVAnalytics
View original course deck
04CEIS150

Python Stock Application

A structured Python application developed from class diagrams through a text interface, stock records, daily data, summary reporting, and unit tests.

PythonOOPUnit testingClass designCLI
View original course deck

WHAT I OPTIMIZE FOR

BUILD THE SYSTEM.
SHOW THE RECEIPTS.

01

Grounded outputRetrieval and citations over unsupported answers.

02

Bounded actionLeast-privilege tools and explicit approval gates.

03

Observable deliveryTests, logs, and release evidence recruiters can inspect.

AVAILABLE FOR THE RIGHT ROLE

BUILD SOMETHING
USEFUL.

Open to conversations about AI engineering, LLM products, automation, and agent systems.

Designed and engineered as an evidence-first portfolio.