Hi, I'm Aditya Bajaj

September 2023 — December 2027

B.S Mechanical Engineering

University of Maryland College Park

• —Assistive Robotics
• —Mechatronics and Internet of Things
• —Electronics and Instrumentation II
• —Machine Design
• —Control Systems
• —Applied Machine Learning
• —Product Engineering and Manufacturing

August 2026 — Present

Vacuum System Redesign

Project Manager

Leading a team of 6 engineering students to dissect, redesign, and improve a commercially designed vacuum cleaner.

• ↳Directing multi-system design efforts including suction performance, energy efficiency, thermal management, power consumption, and sustainability at minimum manufacturing cost.
• ↳Coordinating team members, establishing project priorities, delegating responsibilities, tracking progress, and integrating individual design efforts into a final system deliverable.

September 2025 — December 2025

6 DOF Robotic Arm

Private Project Endeavor

Built and integrated a multi-degree-of-freedom robotic arm assembly with 43 3D-printed components and commercial hardware.

• ↳Performed tolerancing on 3D-printed parts over 4 iterations to accommodate commercial hardware from various vendors and account for non-standard dimensions.
• ↳Designed wiring channels within linkages to neatly organize and later identify wiring, which was soldered and crimped for desired dimensions, for servo components.
• ↳Diagnosed and resolved potentiometer input discrepancies within 4 percent of error.

January 2024 — May 2024

Material Identification Rover

Systems and Navigation Lead

Programmed navigation in Arduino IDE which utilized force sensors to accurately identify the weight and material properties of cubic matter.

• ↳Calculated and specced out motors for optimal traction, powder, and speed of an autonomous vehicle.
• ↳Corrected motor and Arduino board interfacing to sync Aruco marker tracing and streamline navigation process to under 5 minutes.

September 2023 — February 2024

Cube Satellite Team

CAD and Structures Development Member

Helped develop a student CubeSat platform with a GPS tracking payload as a part of NASA mission.

• ↳Engaged in FEA to estimate performance prior to fabrication and simulate duress under 10G load.
• ↳Utilized Siemens NX to optimize structural supports and systems of Cube Satellite, optimizing the functionality of onboard electronics and reducing overall weight.