UIC Mechanical Engineering '28
Autonomous Payload Retrieval & Delivery Drone.
Engineered a custom, lightweight autonomous drone frame applying rigorous First Principles analysis to ensure strict compliance with C-UASC weight and volumetric constraints.
Spearheaded cross-functional integration with electrical teams, designing precision mechanical housings tailored to accommodate complex sensor arrays and autonomous computing hardware.
Executed comprehensive thrust-to-weight ratio analyses on diverse propulsion systems, optimizing the selection of brushless DC motors to maximize payload capacity.
Leveraged CAD and First Principles analysis to navigate complex mechanical constraints. Carbon fiber tubes and CNC-milled plates were selected for their exceptional strength-to-weight ratio.
Designed a reliable, lightweight end-effector mechanism (claw) enabling the UAV to autonomously secure, transport, and accurately release designated payloads during mission operations.
Architected and managed a comprehensive Bill of Materials (BOM). From carbon fiber rods to complex DFM housings, every component is rigorously tracked to streamline rapid prototyping and physical manufacturing.
Precision from First Principles.
Geometric Dimensioning and Tolerancing (GD&T) applied to protect the Raspberry Pi HQ Camera and optics.
Structural analysis on the main chassis to navigate complex mechanical constraints and optimize weight.
Thermodynamics and Statics applied to ensure system survivability in diverse operational envelopes.
Mechanical engineering candidate specializing in advanced structural design, systems integration, and rapid prototyping.
Download Resume (.PDF)© 2026 David Sura. ASME Member. GPA: 4.0/4.0.
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Mechanical engineering candidate specializing in advanced structural design, systems integration, and Design for Manufacturing (DFM) principles. Proven track record of leveraging CAD and rigorous First Principles analysis to navigate complex mechanical constraints, optimize Bill of Materials (BOM), and accelerate rapid prototyping lifecycles for autonomous mechanical systems.
Bachelor of Science in Mechanical Engineering
Relevant Coursework: Thermodynamics, Strength & Materials, Statics, Dynamics, Structural Analysis, Engineering CAD Design.
GPA: 4.0/4.0
Expected May 2028
AI Trainer & Prompt Engineer | Remote
SolidWorks, AutoCAD, Arduino IDE, MATLAB.
Design for Manufacturability (DFM), Geometric Dimensioning and Tolerancing (GD&T), Rapid Prototyping, Bill of Materials (BOM) Management, First Principles Analysis.
Java, C/C++ (Arduino).
American Society of Mechanical Engineers (ASME) | Member