Tom Wade
Bridging the gap between the digital and physical world through data-driven insights and innovative solutions.
I am
Areas of Interest
Some of the tools and tech I love.
Internet of Things
Integrated wireless sensor data from IoT devices into data pipelines for real-time monitoring and analysis.
Applied predictive models to time series data for anomaly detection and forecasting in structural health monitoring applications.
Harness big data for process optimization and inventory management in manufacturing environments.
Machine Learning
Manufacturing Engineering
Database Administration
Cloud Computing
Data Analytics
Manage MySQL and PostgreSQL databases, optimizing queries and ensuring data integrity for structural health monitoring systems.
Leverage cloud services to store, process, and analyze large datasets securely and efficiently in scalable environments.
I analyze large datasets to provide actionable insights, optimizing system performance and enhancing decision-making processes.
My Latest Projects
Some of the things I have built with data tools and technologies.
Using built-in scheduling of Apache AirFlow with the extensible document database storage of MongoDB to generate and email automated reports of sensor data.
An overview of how I made a scalable alert messaging service for sending consistent sub-minute email and SMS notifications for outlier sensor data.
A tutorial for how to "dockerize" infrastructure for a self-hosted solution for remote structural health monitoring with a built-in TCP socket application and MySQL database.
Testing a LSTM encoder-decoder model for reliable short-term time series forecasting and anomaly detection.
Showing how to give any MySQL database a secure logical backup with additional read-replicas for read-heavy applications.
Making structural health monitoring more accessible and cross-platform with a user-friendly interface to perform statistical analysis and alert management for wireless IoT sensors.
What I’m Working On
I have spent the last four years working as a Database Administrator/Developer in the structural health monitoring industry, specializing in remote wireless sensor systems, data acquisition workflows, relational databases, and engineering-focused visualization tools. My work has centered on building practical systems that connect hardware in the field to reliable data infrastructure, internal operations, and decision-making tools.
I am now expanding that background into product development engineering, with a focus on circuit-board-based products, remanufacturing workflows, reverse engineering, test development, documentation, and quality-driven production handoff. I am especially interested in the intersection of hardware, software, data systems, and repeatable engineering processes — turning technical troubleshooting into scalable products and workflows.
Across both software and hardware-focused work, I am passionate about building useful tools that help engineering teams move faster, improve quality, and make better decisions through thoughtful system design, automation, and data-driven problem solving.
Experience
Database Administrator/Developer
Resensys LLC
2021 — 2026
Optimize and manage MySQL database systems on-premises and AWS RDS.
Designed database monitoring systems, significantly reducing query times by 30% through SQL query and index optimization.
Build ETL pipelines using Python, Bash, and SQL, processing and integrating vast sensor datasets into actionable insights and dashboards, enhancing data-driven decision-making for over 200 active structural health monitoring projects.
Architected real-time sensor alerting system reducing notification lag by 200% for active users.
Launched a web interface for real-time sensor data exploration and alert management.
Here I am at a bridge in Florida installing an advanced structural health monitoring system for real-time data collection.
Product Development Engineer
2026 — Present
Circuit Board Medics
Apply a background in hardware systems, production IoT, test automation, CAD, and quality-data workflows to support the development of new remanufacturing products from initial opportunity research through launch and post-launch support.
Reverse engineer and troubleshoot circuit-board-based products by identifying failure modes, developing validation tests, documenting repair procedures, and turning technical discoveries into repeatable production processes.
Build practical engineering workflows that connect product development, quality control, documentation, component sourcing, and production handoff so new repairs can scale reliably.
Work cross-functionally with operations, purchasing, inventory, sales, marketing, and customer support to align new product launches with customer needs, repair feasibility, cost, supply-chain realities, and continuous improvement goals.
Get in Touch
I would love to hear from you! Please fill out the form below or connect with me on LinkedIn and GitHub.
Contact
+12155019211
Connect
wadesthomas1@gmail.com