Jack McConnell
Albuquerque
Summary
Dynamic Mechanical Team Member at First Robotics Team 1561, The Roboducks, with a proven track record in designing innovative subsystems and leading a team to quadruple in size. Expert in relationship building and equipment maintenance, achieving multiple awards and raising over $3000 for STEM initiatives while fostering a culture of coaching and mentoring.
Overview
2
2
years of professional experience
Work History
Mechanical Team Lead
First Robotics Team 1561, The Roboducks
01.2023 - 04.2025
- Spent 250+ hours every season on designing subsystems in Onshape and strategizing for competitions.
- Grew team to 4x size (40+ team members)
- Led fundraising effort to raise $3000+
- Organised kids STEM volunteering collectively around 400 hours of volunteering and 2.4K acre lake cleanup
Qualified for World's 3 times; Industrial Design Award (1/47 teams); 3x Best Autonomous Award (1/43 teams); #1 FIRST Robotics team in the state for the past three years
Education
Bachelor of Science - Mechanical Engineering
University of New Mexico
Albuquerque, NM05-2029
Skills
- Attention to detail
- Conflict resolution
- Customer focus
- Coaching and mentoring
- Schedule management
- Relationship building
- Equipment maintenance
Accomplishments
- Collaborated with team of 40+ people in the development of our 2025 robot.
- Number 1 FIRST robotics team in the state of Oklahoma for four straight years.
Timeline
Mechanical Team Lead
First Robotics Team 1561, The Roboducks
01.2023 - 04.2025
Bachelor of Science - Mechanical Engineering
University of New Mexico
Industrial Design Award (1/47 teams), 3x Best Autonomous Award (1/43 teams)
The Industrial Design award celebrates the team whose machine demonstrates industrial design principles, striking a balance between form, function, and aesthetics.
The Best Autonomous Award celebrates the team whose machine has demonstrated consistent, reliable, high-performance robot operation during autonomous (i.e. non-operated guided) actions during match play. Evaluation is based on the robot’s ability to sense its surroundings, position itself or onboard mechanisms appropriately, and execute tasks.