Muhammad Saad Ali

Muhammad Saad Ali

$25/hr
I am a mechanical engineer with additional expertise in technical documentation and machine learning
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
39 years old
Location:
Rawalpindi, Punjab, Pakistan
Experience:
16 years
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:--
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