Saad T.
Global rank:
21,031 / 147,459
Skill pts: 5

About

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Experience

  • Design & Analysis Engineer Greybeard Corporate Solutions / Halifax Fan UK · Full-time Jan 2026 – Present 8 mos Islamabad Capital Territory, Pakistan Mechanical Design & Automation
    * Delivered 130+ centrifugal fan designs supporting a £1.2M+ portfolio across UK, USA, and China operations, including bespoke arrangements and impeller configurations in Autodesk Inventor.
    * Developed iLogic/scripts, tested and debugged automation tools in live order workflows.
    * Coordinated with purchasing, production, and clients to support delivery and resolve post-release/aftermarket issues.
    Structural Analysis & Product Development
    * Developed an FEA-driven impeller vibration prediction method with the University of Huddersfield.
    * Performed pre-stressed modal and Campbell diagram analysis in ANSYS Mechanical, including stochastic material/geometric variation studies and hammer-test validation.
    * Diagnosed vibration failures and proposed practical, cost-effective FEA-based design modifications.
  • Founder and CEO OnyxLeaf · Part-time Nov 2025 – Present 10 mos Islamabad, Pakistan * Founder and engineering leadership: Lead the initiative and its mechanical/structural engineering, coordinating software and
    business teams developing a cloud SaaS platform for automated corrugated packaging analysis.
    * Simulation & ML Development: Architect the FEA platform by translating nonlinear Abaqus and MATLAB models into Python and
    OpenSeesPy solvers for automated composite analysis; lead integration of FEA-generated datasets and composite mechanics-based
    feature engineering to develop surrogate models for automated box-strength prediction, achieving 98% ML-FEA accuracy with rapid
    analysis times under 1 second [https://www.youtube.com/watch?v=MQvWqcFG5Bc].
    * Product strategy: Partner with business and software teams on technical product strategy and data-driven investor pitch decks.
    * Research and mentorship: Collaborate with NUST faculty and mentor undergraduate and postgraduate engineers in composite
    mechanics and experimental validation.
  • Graduate Researcher University of Michigan-SJTU Joint Institute · Full-time Sep 2019 – Dec 2024 5 yrs 3 mos Shanghai, China * Predictive FEA: Developed a lattice model for corrugated-box buckling and failure, achieving ~90% strength accuracy with realistic damage patterns validated against compression tests.
    * Computational Mechanics: Performed multilevel paper, board, and box FEA using buckling and nonlinear Riks analyses; automated meshing, Abaqus execution, and post-processing with MATLAB, Abaqus CLI, and Python.
    * Constitutive Modeling: Developed an orthotropic multilayer beam-lattice model for sandwich structures, calibrated by strain-energy equivalence and achieving ~98% agreement with high-fidelity shell models.
    * Damage Mechanics: Modeled creasing via nodal stiffness degradation and derived failure limits for local buckling and liner–fluting stiffness mismatch.
    * Experimental Validation: Conducted tensile, four-point bending, compression, and impact testing using UTM, NI-DAQ, LabVIEW, and dataloggers.
    * US Packaging Industry Collaboration: Performed package drop testing using data loggers for impact dynamics assessment; provided structural design insights based on impact height and orientation analysis of experimental results.
    * US Packaging Industry Collaboration: Collaborated with cross-functional teams to enhance validated models and automated testing routines into a SaaS predictive packaging platform for industrial application.

Education

  • University of Michigan–Shanghai Jiao Tong University Joint Institute (UM–SJTU JI) Masters in Mechanical Engineering, Solid Mechanics, CGPA: 3.46/4.00 ≈ 86%, A 2019 – 2024 Activities and Societies: Sports: competitive-level football and ping pong player Technical Courses: VM505: Finite Element Methods; VM512: Theory of Elasticity; VM518: Advanced Mechanics of Composite Materials; VM555: Engineering Optimization; VV556: Methods of Applied Math I, Theory of Bounded Linear Operators; IE6107: Data Mining and Machine Learning; ME6523: Advanced Measurement and Instrumentation Techniques.

    Academic Projects: - Composites: Examined the effects of UV curing parameters (time, intensity) on bending stiffness of single-roving fiber glass composites.
    - Optimization: Reproduced a tunable stiffness mechanism analytical model utilizing single and multi-objective optimization algorithms.
    - Machine Learning: Predicted classes of magnetic tiles surface defects using different machine learning algorithms.
    - Elasticity: Worked on developing an elasticity solution for four-point beam bending.
  • School of Mechanical and Manufacturing Engineering, NUST Pakistan Mechanical Engineering, Mechanical Engineering, CGPA: 3.74/4.00 ≈ 94%, A 2015 – 2019 Activities and Societies: President NUST Society of Mechanical Engineers, Project Coordinator Team BGreen Focus area: Thermo-fluids/Renewables. CGPA: 3.74/4.00

    Academic Projects: - Capstone: Designed, manufactured and validated a hydrokinetic micro turbine for low-head, low-flow canals.
    - Heat Transfer: Reproduced a mathematical model for single basin solar still with a phase-change material (PCM) for storage.
    - Fluid Mechanics: Designed and tested a piping network for a scaled system with specified nodal pressure and flow data.
  • Beaconhouse School System GCE Advanced Level, Pre Engineering with Computer Science, GCE Advanced & Ordinary Levels (A‑Levels: 4 A∗, O‑Levels: 7 A∗, 1 A) 2011 – 2015 Honors: Perfect SAT Subject Test scores (2400); National Aptitude Test (top 0.1%); Intl. Kangaroo Math Contest (top 1% nationwide).

Stats

Joined: September 20, 2026

Last seen: September 20, 2026

Location

Islamabad, Pakistan

Islamabad, Pakistan