Aidan Law.
Designing physical systems with mathematical precision.

Mechanical Engineering Student @ UMD.
Currently mastering

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CAD & Mechanical Design

SolidWorks, Parametric Lofting, Assemblies

FEA & Numerical Solvers

MATLAB Aerodynamics, OpenSees, Python

Prototyping & Mechatronics

3D Printing (FDM), Arduino, Six Sigma

0+ [01] Projects Built
0 [02] Place Design Award
0+ [03] Engineering Tools

Projects & Built Showcase.

SORTED BY STRUCTURAL COMPLEXITY // REV 2.4
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1ST PLACE AWARD // ROBOTICS SPEC-01

Over-Terrain Autonomous Vehicle

  • Awarded 1st place in a university competition for designing an autonomous vehicle capable of multi-terrain navigation.
  • Integrated IMU and ultrasonic sensors using custom C++ routines for real-time obstacle avoidance and spatial orientation.
  • Modeled lightweight chassis hardware and custom sensor housings in SolidWorks, optimizing weight distribution.
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MATLAB & AERODYNAMICS SPEC-02

Parametric Drone Propeller Study

  • Developed a custom Blade Element Method (BEM) aerodynamic solver in MATLAB to evaluate parametric drone blade geometries.
  • Generated parametric 3D airfoil profiles in SolidWorks and conducted static FEA under combined aerodynamic and centrifugal loads.
  • Achieved a ~50% calculated increase in hover efficiency and 1.9 lb peak thrust compared to commercial benchmarks.
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SOLIDWORKS / FEA SPEC-03

Drill Press Assembly & FEA

  • Engineered a 30-component drill press model in SolidWorks using parametric mating and constraint-based assembly techniques.
  • Executed static FEA simulations validating structural integrity under a 500 kg operating load without permanent deformation.
  • Produced a 270-part technical drawing package with standardized GD&T, exploded views, and a complete Bill of Materials.
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NUMERICAL SOLVER SPEC-04

Custom FEA Analysis Engine

  • Built a custom Finite Element Analysis tool in Python to simulate stress distribution and deformation under gravitational loads.
  • Integrated Gmsh for dynamic mesh generation and OpenSees for core matrix structural analysis calculations.
  • Created visualization routines to map von Mises stress concentrations across custom 3D geometries.
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LEAN MANUFACTURING SPEC-05

Sub-$1 Lean Phone Stand

  • Designed a minimalist, foldable phone support structure optimized for high-volume, low-cost production under $1.00 per unit.
  • Applied Design for Manufacturability (DFM) principles to minimize material usage and cycle times without sacrificing stiffness.
  • Validated mechanical stability across multiple device weight classes and orientation angles.

Experience & Education.

CAREER PATH & TECHNICAL HISTORY
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MANUFACTURING ENGINEERING INTERN MAY 2026 – PRESENT

MW Components (Accurate Screw Machine)

Fairfield, NJ • Manufacturing Engineering Intern

[SolidWorks API] [C# Automation] [Python] [ISO 9001 / AS9100D] [DFM Blueprinting] [GD&T Standards]
  • Developed a C# application leveraging the SolidWorks API to automate 3D modeling, 2D drawing generation, and quality control checklists, reducing lead times by 95% (from 45 min to under 30 seconds) across 1,000+ annual parts.
  • Programmed C# calculation routines to automatically recalculate ASME and ISO thread geometry based on plating thickness, eliminating manual rework for 5-axis CNC manufacturing drawings.
  • Authored corporate ISO 9001 and AS9100D calibration procedures (SOPs) for measuring tools and metrology equipment, cutting external calibration costs by 75% and boosting tool availability by 25%.
  • Translated Tier 1 aerospace customer engineering blueprints into floor-ready manufacturing plans compliant with strict GD&T standards and part quality assurance inspection criteria.
1. CAD & Quality Checklist Automation (C# & SolidWorks API)
To eliminate drafting bottlenecks in high-mix, low-volume custom manufacturing, I engineered a standalone C# application that interfaces directly with the SolidWorks API. The tool automates parametric 3D modeling, drawing layout, view scaling, dynamic dimension ballooning, and first-piece quality control checklists. By automatically populating critical properties and notes, the software slashed drawing lead times from up to 45 minutes down to under 30 seconds across more than 1,000 custom parts annually.
2. Coating Offset Math Engine (C# & ASME/ISO Thread Math)
Precision machining for plated fasteners requires complex geometric calculations to offset thread profiles prior to surface treatments. I developed an algorithmic engine in C# that automatically recalculates ASME and ISO thread profiles and pitch tolerances based on user-specified plating thicknesses. This converted over an hour of manual math into instant code execution, delivering exact pre-plate tolerances directly to 5-axis CNC operators and quality inspectors.
3. Quality Calibration System Overhaul (Python & ISO 9001 / AS9100D Compliance)
To overhaul plant-wide metrology management and ensure compliance with ISO 9001 and AS9100D standards, I authored official corporate Standard Operating Procedures (SOPs) for calibrated equipment and built a Python inventory optimization tool. The script analyzes gage usage patterns, floor availability, and failure rates to stagger external recalibration cycles and identify redundant tooling for storage or retirement. This reduced annual external calibration costs by 75% while raising shop-floor tool availability by 25%.
4. Design for Manufacturability (DFM) & Blueprint Conversion
Serving high-precision aerospace and defense clients requires translating complex customer blueprints into standardized internal manufacturing plans. I analyzed customer GD&T callouts, thread specifications, and tolerances to build floor-ready SolidWorks production drawings optimized for 5-axis CNC turning, passivation, and captive assembly operations, ensuring full compliance with part quality assurance standards.
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DATA ENGINEERING INTERN JUN. 2025 – AUG. 2025

Publicis Health

Morristown, NJ • Data Engineering Intern

[Python] [SQL] [VBA] [Power BI] [ETL Pipelines] [Data Analytics]
  • Re-engineered a manual monthly reporting workflow into an automated data pipeline using Python, SQL, and VBA, reducing process cycle time by 98% (from several hours to 5 minutes) and eliminating recurring manual errors.
  • Applied root-cause analysis and data validation routines to campaign performance datasets, writing Python scripts to automate stakeholder communications and resolve process bottlenecks.
  • Executed statistical analyses across 100,000+ records and built interactive Power BI and Excel dashboards to translate complex operational data into actionable pricing and process insights for cross-functional teams.
1. Automated Reporting Pipeline (Python, SQL & VBA)
To streamline monthly operational reporting, I re-engineered a labor-intensive manual workflow into an automated end-to-end data pipeline using Python, SQL, and Excel VBA. The pipeline automates data extraction, transformation, cleaning, and deck generation, reducing process cycle times from several hours to 5 minutes while eliminating recurring manual data-entry errors.
2. Campaign Data Validation & Automation (Python)
Working with high-volume marketing datasets, I implemented root-cause analysis and data validation routines to identify and fix operational bottlenecks. I authored custom Python scripts to validate data integrity and automate stakeholder status updates, improving data accuracy and accelerating cross-functional execution cycles.
3. Operational Analytics & Business Dashboards (Power BI & SQL)
To drive data-informed decision-making across leadership teams, I conducted statistical analyses across datasets exceeding 100,000 operational records. I designed interactive Power BI and Excel dashboards that synthesized complex performance metrics into clear visual insights, directly informing campaign optimizations and pricing strategies.
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ACADEMIC DEGREE SEP. 2024 – MAY 2028

University of Maryland

Bachelor of Science in Mechanical Engineering, Minor in General Business

  • GPA: 3.63 / 4.00
  • Honors: Dean's List (Fall 2024 – Spring 2026)
  • Campus Organizations: International Design and Engineering Consortium, Terps Without Hunger