From 6b686adfa6ee946f63468dfdb39d41a9e313c89a Mon Sep 17 00:00:00 2001 From: Daniel LaForce Date: Wed, 2 Apr 2025 03:43:50 -0600 Subject: [PATCH] Update resume with additional contact information, expanded skills section, and new education details. Revise project descriptions for clarity and accuracy, and introduce a new management tools section. --- resume.html | 137 ++++++++++++++++++++++++++++++++++++++++++++-------- 1 file changed, 116 insertions(+), 21 deletions(-) diff --git a/resume.html b/resume.html index a42526e..7f3884b 100644 --- a/resume.html +++ b/resume.html @@ -296,10 +296,22 @@

Infrastructure & Systems Engineer

+
+ + Colorado Springs, Colorado +
+
+ + 720-310-0064 +
daniel.laforce@argobox.com
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+ + daniel.laforce@gmail.com +
linkedin.com/in/danlaforce @@ -308,6 +320,10 @@ github.com/keyargo
+
+ + argobox.com +
@@ -465,13 +481,20 @@

Cloud & Infrastructure

Microsoft Azure + Azure AD + SharePoint + Teams AWS + EC2 + S3 GCP VMware ESXi/vSphere Hyper-V Docker Kubernetes (K3s) ProxMox + Traefik + CI/CD
@@ -483,7 +506,11 @@ OSPF EIGRP STP + HSRP + VTP IPv4/IPv6 + ACLs + NAT/PAT DNS/DHCP VLANs QoS @@ -491,6 +518,8 @@ Catalyst Switches ASA Firewalls UniFi Systems + pfSense + OPNsense @@ -503,7 +532,9 @@ Bash C/C++ SQL + MySQL/MSSQL AutoHotkey + Ansible @@ -518,6 +549,11 @@ ThreatLocker Zero-Trust Architecture HIPAA Compliance + BlueMira + DUO + DNSFilter + Email Mesh Security + MFA @@ -527,13 +563,19 @@ Windows Server Active Directory Group Policy - Linux (Ubuntu, CentOS) + Exchange Server + Linux + Ubuntu + CentOS + Debian + Fedora + Kali Linux Cisco IOS
-

GIS & Data

+

GIS & Data Science

Geospatial Mapping GeoPandas @@ -541,9 +583,28 @@ KML Generation Data Visualization Machine Learning + TensorFlow + PyTorch + Scikit-learn Pandas NumPy - Scikit-learn + Matplotlib + Seaborn +
+
+ +
+

Management & PSA Tools

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+ N-able N-central + Kaseya VSA + ConnectWise Automate + ConnectWise PSA + PRTG + SolarWinds + Addigy + ImmyBot + Commit Ticket CRM
@@ -569,6 +630,18 @@ +
+

Cyber Operations Training

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Cisco Networking Academy
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2018
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+ +
+

Computer Science and Innovation

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University of Colorado Colorado Springs (UCCS)
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January 2017 - December 2017
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+

Associate's Degree, General Studies

Front Range Community College
@@ -584,6 +657,22 @@
+ +
+

Associate's Degree, General Studies

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Pikes Peak Community College
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2015 - 2018
+
+
+ + Magna Cum Laude +
+
+ + President's List (Spring 2014, Spring 2015) +
+
+
@@ -624,43 +713,49 @@
-

TerraTracer

-

A GIS mapping platform used by mining claim prospectors to automate boundary plotting and compliance verification, reducing manual research by 85%.

+

Full-Access Wi-Fi Testing Cage

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Designed and implemented a comprehensive testing environment for router firmware validation with remote access capabilities. Engineered cable modem/SONU configurations for MAP-T and dual-stack testing with automated relay and RF switcher control.

+
+ RF Engineering + Network Testing + CAD Prototyping + Serial Interface + Automation +
+
+ +
+

TerraTracer GIS Platform

+

A GIS mapping platform used by mining claim prospectors to automate boundary plotting and compliance verification, reducing manual research by 85% and improving claim success rates by 40%.

Python Node.js GeoPandas KML -
-
- -
-

Wi-Fi Testing Cage

-

Designed and implemented a full-access Wi-Fi testing facility for remote firmware testing of router models, supporting Wave2 and WiFi6 capabilities.

-
- RF Engineering - Network Testing - CAD Prototyping + GDAL/OGR

VSA Deployer

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Custom application for streamlining Kaseya VSA RMM agent installation, reducing deployment time by 80% across dental practice environments.

+

Custom application for streamlining Kaseya VSA RMM agent installation, reducing deployment time by 80% across dental practice environments. Implemented for 300+ practices with 3700+ workstations.

PowerShell AutoHotkey RMM + Kaseya VSA
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Argo Cloudflare DDNS

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Bash script for automating DNS updates with Cloudflare, featuring user input validation, API integration, and cron scheduling.

+

AI-Driven Car Price Prediction

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Developed machine learning model for predicting used car prices with over 90% accuracy using Random Forest Regression and comprehensive feature engineering.

- Bash - API Integration - DNS + Python + Scikit-learn + Pandas + Random Forest + Jupyter