Andy Ruestow
Manager Application Development
About
I am a problem solver. I enjoy the challenge of approaching a problem, applying past experience, learning new techniques and developing a solution. Inspect, apply, learn, solve is the metronome that keeps me moving. Let's solve problems together.
I have a non-traditional background for a Software Engineer having pivoted to the world of software from a role in Mechanical Engineering. My career path highlights one of my greatest strengths, I'm multidimensional. I have a very deep technical background in Engineering, but I also have a keen business sense and love helping clients express their desires and needs. This skill was first learned while earning my MBA, but sharpened over my 10 years at Impact Technologies working directly with customers on a daily basis.
On the technical side I'm just as comfortable talking about build automation or dependency injection as I am discussing thermodynamics of a jet turbine engine. During my last eleven years as a software engineer I've primarily worked on AI-enabled applications and web applications. In my personal time I am a Level-3 USAC certified cycling coach and have a small coaching practice who sponsors a local cycling team.
When I'm not behind a keyboard you can find me at the rink watching my boys play hockey, playing fetch with our pups, cruising on our sailboat with my wife, or riding my bicycle. At this stage in my career I'm looking to work with a small, passionate group who values teamwork and relationships as much as producing top-quality work.
Work Experience
- Firefighting Intelligence - I serve as the software architect and deployment and delivery lead for an AI-enabled suite of tools that provide intelligence for the wildfire fighting community.
- Capital Procurement - I manage the capital procurement process for our group handling the process from initial request to asset delivery.
- Lux - I served as the API lead for Lux, a massively scalable full stack software platform for ingesting, storing, processing, and visualizing huge amounts of data from fleets of complex assets.
- SecDevOps - As Senior Techlead for Software Development, I lead educational activities that promote best practices related to application development, security and devops.
- RTOK - I served as lead architect for RTOK, a lean web React/ExpressJS application for uploading re-test okay data, and tracking the status of various maintenance and fault data statuses.
- Helotrac - AngularJS web application that manages Helicopter Fleet Maintenance. As project maintainer I took the lead in guiding a team of 20 developers through more than 40 sprints over the past two years. I helped the team adopt modern DevOps practices including Unit Test Automation and Continuous Delivery.
- Software Tooling - I took the lead in making the business case to adopt modern software tooling including bug tracking, self-hosted repo's, and build servers. I also administer those tools for the entire company and serve as an advocate for development best practices.
- ADEM - .NET web application that parses, stores and processes commercial aircraft engine data. I implemented and tested all of the advanced analytic algorithms including turbine gas-path normalization, feature trend detection and fault isolation.
- ASHM - .NET web application that parses, stores and processes aircraft engine data for A320, A380 and B787 aircraft. I was responsible for creating an automated daily alert email system that includes graphs of parametric engine data and distilling top level faults for VP level notification.
- MMT - .NET Microsoft Surface Pro application that automatically downloads helicopter parametric data over wifi upon landing. The system then processes the flight data and provides several roll-up levels data including impending faults and maintenance information to on-site aircraft maintainers.
- Streamlined Maintenance Action Ranking Tool - .NET Web application developed to reduce the burden on aircraft maintainers by intelligently capturing troubleshooting information utilizing a reasoning engine to determine root cause of failure.
- SmartMon Oil Sensor - Oil quality monitoring device (hardware/firmware) targeting diesel driven Army ground vehicles. This sensor provides live oil quality measurements using multi-frequency electrochemical impedance spectroscopy.
- COST-A - Structural Health Monitoring system for the UH-60M BlackHawk helicopter.
- IHSMS - Structural Health Monitoring system for the CH-53k King Stallion, the largest composite rotorcraft.
- Bradley Fighting Vehicle Transmission Prognostics - Developed a prognostic solution to estimate the time to failure of several transmission components.
- Embraer Bleed Valve Seeded Fault Test Stand - Designed and constructed a seeded fault test stand for the E-175 commercial jet bleed air valve.
- Torque Sensor Validation - Designed and constructed a sensor validation test stand for estimating torque loads under dynamic conditions.
- Cam Phaser Endurance Test Stand - Designed and performed endurance and performance tests for DOHC cam phaser prototypes.
Awards
-
September 2007
Mensa
Mensa Membership
-
May 2006
RIT
Fast Track MBA Scholarship
-
March 2013
Sikorsky Aircraft
5-Year Service Award
-
March 2023
Lockheed Martin
15-Year Service Award
-
April 2020
Lockheed Martin
Graduate: Emerging Leader's Program
-
October 2022
Genesee Valley Cycling Club
2022 Sportsmanship Award
-
October 2023
Genesee Valley Cycling Club
2023 Sportsmanship Award
Volunteer
- Featured on Need to Know
- Software Presented at Libre Planet
- Software Presented at Transparancy Camp
- 100 daily users
- They send me lots of smile emoticons :-D
Education
-
2001 2006
Rochester Institute of Technology
Bachelor of Science
Mechanical Engineering - Aeronautics
-
2006 2007
Rochester Institute of Technology
MBA
Masters of Business Administration
Skills
Publications
Let's have some fun with TensorFlow and React. Not familiar with TensorFlow? No problem, you will get a fast crash course and learn how to track faces and add silly adornments (I bet you would look good with a new set of reading frames) entirely in the browser with TensorFlow and React. With a good background in the tech let's expand to tracking multiple limbs and evaluating and scoring some yoga positions. We will look at a couple different scoring algorithms, and finally challenge the audience to beat our high score for ultimate bragging rights.
Describes the development and testing of an online oil condition monitor that utilizes a multi-frequency approach to electrochemical impedance spectroscopy to interrogate and evaluate fluid health in near real time. A dual microcontroller processing architecture embedded in the sensor itself executes an oil-health evaluation algorithm and provides estimates of lubricant remaining useful life, as well as identification of the primary mode of degradation of the fluid.
The development of advanced algorithms designed to validate and synthesizing torque sensor readings for aircraft turboshaft engines. This solution consists of several modules, preprocessing for the reduction of noise and operational mode detection, diagnostic feature extraction, torque signal recovery, and a fault detection and classification module.