Muhammad Saad Ali
Mechanical Engineer
PROFILE
I am a mechanical engineer with more than 16 years of experience in
mechanical design and development. I have a solid background in machine
design, thermodynamics, fluid mechanics, control systems, 3d modeling,
simulation, programming and technical problem solving. I am also an
excellent communicator, able to work effectively in a team and present
complex ideas in a clear and concise manner.
PROFESSIONAL EXPERIENCE
Mechanical Design Engineer at Hydro Pneumatic Systems
Led the mechanical design and development of high-pressure flow
regulation systems for liquids and gases, ensuring optimal performance
and safety across various applications
Designed and developed spring-based mechanical flow regulators,
focusing on precision and durability to maintain consistent flow rates
under varying pressure conditions.
Engineered electromechanical regulators, integrating mechanical
systems with electrical components to provide enhanced and flexible
flow control and automation capabilities
Wrote technical documentation including qualification and testing
procedures for developed products
Supervised testing and qualification of products
Testing and qualifying cryogenic valves, as well as adapting standard
valves for use with cryogenic fluids
Developed engineering solutions for complex technical problems,
enhancing overall system performance and reliability
EDUCATION:
MSc Mechanical Engineering (Applied Mechanics and Design),
University of Engineering and Technology, Taxila, Pakistan
- part time), CGPA 2.96/4
BE Mechanical,
National University of Science and Technology, Islamabad, Pakistan
-), CGPA 2.90/4
Contact
Address:
Rawalpindi, Pakistan
Phone:
-
Email:-
LANGUAGES
Urdu - Native
English – Full
Professional Proficiency
SKILLS:
Matlab
Python
Numpy
Tensorflow
Keras
Creo
FEM
Ansys
Machine Learning
Control Systems
Abaqus
Solid Works
Fluid Mechanics
Thermodynamics
Machine Design
Professional Certificates / Courses:
Wind Energy by Technical University of Denmark (DTU)
Modeling and Simulation with Simulink by MathWorks
Control Systems: From Mathematical Modeling to PID
Control by Udemy
Control Systems Analysis: Modeling of Dynamic
Systems by University of Colorado Boulder
MATLAB Onramp by MathWorks
How to Write and Publish a Scientific Paper by École
Polytechnique
Matrix Algebra for Engineers by The Hong Kong
University of Science and Technology
Programming for Everybody (Getting Started with
Python) by University of Michigan
Python Data Structures by University of Michigan
Using Python to Access Web Data by University of
Michigan
Crash Course on Python by Google
Supervised Machine Learning: Regression and
Classification by deeplearning.ai and Stanford
University
Advanced Learning Algorithms by deeplearning.ai and
Stanford University
Data Analysis with Python by IBM
Machine Learning with Python by IBM
Introduction to Deep Learning & Neural Networks with
Keras by IBM
Major Projects:
BE Final Year Project
Design and Development of an Amphibious Vehicle
Amphibious vehicles are capable of travelling on both land and water
A small model of an amphibious vehicle was designed and developed
It was powered by a battery and controlled by a remote control
MS Research Project (Thesis)
Experimental and Numerical Simulation of Hydroforming of an Aluminum
Tube
Hydroforming is a manufacturing process, which uses hydrostatic
pressure to form a tube or sheet against a die
This process is widely used in automotive industry
In this thesis, an experimental setup was developed to form a metal
tube against a die used flexible rubber mandrel
In this setup die was manufactured, and the experiment was carried
out using a hydraulic press
Finite Element Analysis was also carried out using Abaqus
Experimental results and simulation results were compared
Design and development of pilot operated solenoid valve
Designed to switch on and off flow of liquids
Capable of handling high pressures up to 60 bar
Due to pilot based design very less actuation force is required
Design and development of Electromechanical Pressure Regulator
Capable of handling high pressures up to 250 bar
Can be used with various gases like air, nitrogen and helium
Can handle flowrates up to 6 liters per second
Most pressure regulators work on the principal of variable throttling
area
A balanced orifice design is used to minimize the required torque
Stepper motor based designed
Controlled by a PID controller
Have a very flexible output pressure range
Cryogenic Valves
Testing and qualification of cryogenic valves according to standards like
BS 6364
Adaptation of standard valves for cryogenic use
University Admission Predictor using Logistic Regression (Coursera Lab)
Built a logistic regression model to predict the likelihood of university
admission based on applicant exam scores
Implemented the sigmoid function, computed cost and gradient
functions, and optimized parameters using gradient descent.
Evaluated model performance, plotted the decision boundary, and
predicted admission probabilities for applicants
Microchip QA Classifier using Regularized Logistic Regression (Coursera Lab)
Developed a regularized logistic regression model to predict whether
microchips pass quality assurance based on test results
Implemented feature mapping to transform test results into higherdimensional polynomial features
Computed the regularized cost function and gradient descent to
optimize parameters and improve model performance
Visualized the nonlinear decision boundary and evaluated model
accuracy on the training set
Mushroom Edibility Classifier using Decision Trees (Coursera Lab)
Developed a decision tree model to classify mushrooms as edible or
poisonous based on attributes like cap color, stalk shape, and solitary
growth.
Preprocessed the dataset using one-hot encoding for feature
representation.
Implemented functions for entropy calculation, dataset splitting, and
information gain maximization.
Trained and evaluated the decision tree model with a stopping criterion
of maximum depth 2
Publication:
Qayyum F., Shah M., Ali S., & Ali U. (2015, November). Bulge hydroforming of tube by
rubber mandrel without axial feed: Experiment and Numerical Simulation. In
Proceedings of the First International Symposium on Automotive and Manufacturing
Engineering (SAME) (Vol. 1, No. 7, pp. 19-26).
English Language Proficiency:
IELTS Academic 7 Bands
Listening 8, reading 7.5, writing 7, speaking 6
Test date: 25th August 2024
Graduate Record Examination (GRE):
GRE General Scores: Verbal Reasoning 155, Quantitate Reasoning 158, Analytical
Writing 3
Test date: 22nd July 2024
References:
Dr. Sayyid Masoodur Rahman Shah
Managing Director, Innoviatech Industries
Ex. Assistant Professer, UET Taxila
MS Thesis Supervisor
Contact :--
Dr. Muhammad Anwar
Assistant Professor, IST
Contact:--
Dr. Amir Hamza
Associate Professor, NUST College of E&ME
Contact:--
Dr. Raja Amer Azim
Assistant Professor, NUST College of E&ME
BE Final Year Project Supervisor
Contact:--