Joe Narváez

I'm

About

I am passionate about modernizing the electric grid through innovative software solutions. With 14 years of experience leading high-performing software teams and a strong academic foundation in power systems, I bring a unique perspective to energy infrastructure challenges. I like to implement cutting-edge ML/AI solutions, from model development to agent deployment, while working with real-time web systems. My decade of experience building mission-critical real-time systems has given me a practical understanding of what works in production environments.

Software Architect & Energy Domain Expert

I love to connect with forward-thinking professionals who balance innovation with pragmatism. If you're passionate about rapid iteration, careful risk assessment, and pushing technological boundaries while maintaining system reliability, let's connect and explore how we can modernize energy infrastructure together.

Managed IoT Sensors
Real-time Processing

Technologies Mastered Cross-stack Expertise

Team Members Led Leadership Experience

Implemented
IoT Based Applications

Skills

Specializing in real-time systems, time series analysis, and embedded development with a focus on safety and reliability

System Architecture & Infrastructure

Cloud/On-Prem Hybrid Deployments 95%
Event Driven Architectures 90%
Kubernetes:   EKS • K3s 90%

Industrial & Embedded Systems

Low Power Embedded Systems 90%
Grid Protocols:  Modbus • DNP3 • OCPP • MQTT 85%
Memory Safe Languages 80%

ML & AI Systems

Predictive Modeling • Timeseries Databases 85%
LLM Integration:   Agent Architectures • Vector Databases 85%

Web Development

TypeScript • React (Native) • NodeJS 95%

Engineering Excellence

Testing: Chicago School of Unit Testing • BDD 95%
SOLID Principles 90%
DORA Metrics 85%

Resume

Experienced software architect with a focus on grid modernization, energy systems, and real-time data processing and modeling. Proven track record in leading technical teams and delivering innovative solutions.

Summary

Joe Narváez

Software architect and energy domain expert with 14 years of experience leading high-performing software teams. Specializing in power systems, ML/AI, and full stack development for the future electric grid.

Education & Credentials

MS Computer Science

Ongoing

Georgia Institute of Technology

Specializing in Machine Learning and Cyber Physical Systems

BS Renewable Energy Engineering

2015

Oregon Institute of Technology

ABET Accredited Program

ABET EIT Credential

2015

Credential ID 155352

Professional Experience

ML Data Architect

September 2024 - Present

Steerbridge (Remote)

  • Implemented Data Quality CI pipelines with automated linting, testing, and conventional commits, reducing code review overhead for data scientists
  • Built a framework for complex data visualizations, enhancing data storytelling capabilities
  • Developed local test harness for AWS Glue Jobs, enabling input/output validation during development
  • Redesigned data repository with robust validation patterns using Pandera, improving data reliability
  • Restructured codebase into a monorepo workspace architecture, facilitating cross-team package sharing

Team Lead

October 2022 - September 2024

Fractal EMS

  • Built SSO solution for aggregated multi-site BESS dashboard views
  • Led technical hiring and built a six-person team
  • Created company-wide npm theme package for consistent design
  • Migrated legacy JS/CRA to TypeScript/Vite, reducing bundle size by 30%
  • Managed cloud and on-prem deployments using EKS and K3s

Full Stack Developer

Jan 2021 - October 2022

Intheon (Remote)

  • Designed modern dashboard securing strategic partnerships
  • Implemented S3-backed web file browser with recursive listing
  • Deployed scientist data models using AWS serverless Python

Full Stack Developer

Jun 2018 - Jan 2020

Schlage/Allegion

  • Developed most-used platform feature using GraphQL
  • Implemented backend routes using TypeScript and AWS APIs
  • Improved state management architecture for better maintainability

Portfolio Spotlight: Fullstack Energy Course (In Progress)

This a courses is designed to teach real world skills when implementing modern energy systems. It covers everything from the sensors/industrial protocols, to the UI (mobile and web), to predictive machine learning models.

  • All
  • Grid Protocols
  • Embedded Systems
  • AI/ML
  • Platform Engineering/DevOps
  • Realtime HMI/UI

EMS HMI

The UI

Analyst API

Predictive model trained on ERCOT Solar Production + Energy Analyst Agent

Power Controller

 Rust based ac and dc meter to simulate PCS, BESS, EV Charge Point measurements

Grid Gateway

Central gateway for grid protocols. Runs RTAC software on any device

Device API

Source of truth for the EMS. Bootstraps the customer devices based on their site topology

Customer API

Manages customer environments and deployment schedules

Services

Specialized in energy systems, IoT solutions, and data architecture. Offering technical expertise through various engagement models to help organizations build robust, scalable solutions.

Technical Consulting

Expert guidance on energy systems, IoT architecture, and data modern infrastructure practices.

Energy Systems Development

Custom solutions for energy monitoring, optimization, and control systems. Integration with industrial protocols and IoT devices.

Data Architecture Design

Architecture solutions for data pipelines, validation frameworks, and quality assurance systems. Focus on scalable, maintainable solutions.

IoT Hardware Integration

Custom IoT solutions using embedded rust, industrial sensors, and power monitoring devices. Complete system design from hardware to cloud or onprem.

Technical Workshops

Hands-on training in energy systems, IoT development, and modern software practices. Custom curriculum development available.

Contract Development

Short to medium-term development support for specific projects. Expertise in Python, TypeScript, and Rust.

Contact

Address

7200 Easy Wind Dr, Suite 2064, Austin TX 78752