Malik S. Profile

5.0

(1 review)

You're now following

Error following user.

This user does not allow users to follow them.

You are already following this user.

Your membership plan only allows 0 follows. Upgrade here.

Successfully unfollowed

Error unfollowing user.

You have successfully recommended

Error recommending user.

Something went wrong. Please refresh the page and try again.

Email successfully verified.

$10 USD / hour

lahore,

pakistan

$10 USD / hour

It's currently 12:17 AM here

Joined March 20, 2024

0 Recommendations

Malik S.

@malik277

5.0

(1 review)

2.7

100%

$10 USD / hour

lahore,

pakistan

$10 USD / hour

100%

Jobs Completed

100%

On Budget

100%

On Time

N/A

Repeat Hire Rate

Electrical/ Embedded/ MATLAB/ ARDUINO/ PCB Design

I am a highly skilled Electrical and Embedded Systems Engineer with expertise in MATLAB, ARDUINO, and PCB Design. With a strong academic background and practical experience, I have successfully executed numerous projects in the field of electrical engineering and embedded systems. In the realm of Electrical Engineering, I possess a deep understanding of circuit design, analysis, and implementation. As an Embedded Systems expert, I have a proven track record of developing firmware for various microcontrollers, including but not limited to ARDUINO. MATLAB is a powerful tool in my arsenal, and I leverage its capabilities to model, simulate, and analyze complex electrical systems. My proficiency in MATLAB extends to algorithm development, data analysis, and signal processing. PCB Design is another area where I excel, creating layouts that optimize performance, minimize interference, and adhere to industry standards. With a passion for innovation and a dedication to excellence, I am well-equipped to tackle challenging projects in the fields of Electrical Engineering, Embedded Systems, MATLAB, ARDUINO, and PCB Design. I look forward to contributing my skills and expertise to your project, ensuring its success and meeting your expectations.

See all Electronics Engineers in Pakistan

Contact Malik S. about your job

Portfolio

Design single cylinder engine with Solidworks

Motorcycle Engine

Reverse engineer the design for manufacturing

Reverse engineering mechanical & shape design

3D Modeling

Simulink models

11906911

we assume the system is operating and monitoring one or more multiple relays, depending on system desired functionalities and user requirements.

Simulink Model

Motorcycle Engine

Reverse engineering mechanical & shape design

3D Modeling

Simulink models

11906911

Simulink Model

Reviews

Changes saved

Showing 1 - 1 out of 1 reviews

Filter reviews by:

5.0

$30.00 CAD

Networking and Programming,(Electronics and Electrical Engineer)

job done and done as at when due

Electronics

Electrical Engineering

Programming

Network Engineering

Ada programming

Adedunke Grace D.

@Samaji206

•

27 days ago

Experience

SystemsTech Pakistan

Oct 2023 - Present

Recently completed PhD in Electrical Engineering from Stanford. Currently serving as Senior Electrical Engineer at SystemsTech Pakistan, contributing to innovative projects in telecommunications infrastructure. Applying cutting-edge knowledge gained abroad, I am dedicated to advancing technology locally and driving impactful solutions in the dynamic Pakistani engineering landscape.

Tesla, Inc., USA

Dec 2018 - Aug 2023 (4 years, 8 months)

PhD in Electrical Engineering from Stanford. As a Research Scientist at Tesla, I led groundbreaking projects in electric vehicles, driving innovations in power electronics and energy storage. Contributing to Tesla's mission, I applied deep electrical engineering expertise, shaping the future of sustainable transportation. My tenure underscores a commitment to impactful research at the intersection of academia and industry.

ARM Limited, UK

Dec 2016 - Sep 2018 (1 year, 9 months)

Master's in Electrical Engineering from the University of Cambridge. As a Research Engineer at ARM Limited, contributed to cutting-edge projects, specializing in embedded systems and energy-efficient processors. Developed innovative solutions, honing expertise in ARM architecture. Collaborated with top-tier professionals, broadening technical skills and reinforcing commitment to advancing technology within a leading UK semiconductor company.

Education

Ph.D. in Electrical Engineering

Stanford University,

United States

2018 - 2023

(5 years)

Master in Electrical Engineering

University of Cambridge,

United Kingdom

2016 - 2018

(2 years)

BS.c Electrical Engineering National University of Science and Technology, Pakistan 2012 - 2016

National University of Science and Technology,

Pakistan

2012 - 2016

(4 years)

Qualifications

ARM Limited, UK

2018

Awarded by ARM Limited for exemplary work as a Research Engineer. Demonstrated expertise in embedded systems development, particularly in advancing ARM architecture. Contributed significantly to transformative projects, showcasing innovation and proficiency in the dynamic field of electrical engineering.

Stanford University, USA

2020

Attained a Ph.D. at Stanford University, specializing in Electrical Engineering. Conducted groundbreaking research, showcasing expertise in advanced concepts, and contributing to the academic and technological landscape.

Stanford University, USA

2021

Recognized for expertise in power electronics during Ph.D. studies. Acquired advanced skills in designing and optimizing power systems, demonstrating a deep understanding of electrical engineering principles.

Publications

Optimization of Power Distribution in Smart Grids using Machine Learning

Malik sheryar

This publication explores the application of machine learning algorithms for optimizing power distribution in smart grids. The study investigates the integration of advanced data analytics to enhance grid efficiency, reduce energy losses, and improve overall system resilience. Results indicate significant advancements in smart grid optimization, offering practical insights for sustainable energy management.

Embedded System Design for Real-Time Image Processing in Unmanned Aerial Vehicles

Malik sheryar

Focused on the integration of embedded systems for real-time image processing in Unmanned Aerial Vehicles (UAVs), this publication outlines the development of efficient algorithms and hardware architectures. The study addresses challenges in real-time processing, enabling UAVs to perform dynamic tasks with enhanced vision capabilities. The findings contribute to the field of UAV technology and autonomous systems, showcasing practical solutions for image processing in real-world applications.

Advancements in Quantum Dot Solar Cells for Enhanced Photovoltaic Performance

Malik sheryar

Investigating quantum dot solar cells, this publication delves into strategies for enhancing photovoltaic performance. The study explores novel materials and engineering approaches, demonstrating significant improvements in efficiency and durability. The findings contribute to the forefront of sustainable energy solutions, offering valuable insights for the future of solar technology.

Dynamic Spectrum Access in Cognitive Radio Networks: A Machine Learning Perspective

Malik sheryar

Addressing challenges in cognitive radio networks, this publication presents a machine learning-based approach for dynamic spectrum access. The study explores adaptive algorithms, optimizing spectrum utilization and enhancing network efficiency. The research contributes to the evolving field of cognitive radio, providing practical solutions for dynamic spectrum allocation and management.

Bio-Inspired Algorithms for Multi-Objective Optimization in Smart Grids

Luqman Ali

Focused on multi-objective optimization in smart grids, this publication introduces bio-inspired algorithms for efficient energy management. The study draws inspiration from nature, proposing innovative approaches to balance conflicting objectives in smart grid systems. The research offers practical tools for optimizing energy distribution, promoting sustainability and resilience in future smart grid deployments.

Next-Generation Neural Interfaces for Brain-Computer Interaction

Luqman Ali

This publication explores cutting-edge neural interfaces for enhanced Brain-Computer Interaction (BCI). Investigating advanced electrode materials and signal processing techniques, the research contributes to the development of more robust and efficient neuroprosthetic devices, paving the way for transformative applications in healthcare and assistive technology.

Energy-Efficient Power Electronics for Electric Vehicles

Luqman Ali

Focusing on power electronics in electric vehicles (EVs), this publication addresses energy efficiency challenges. The study introduces innovative solutions in converter design and control strategies, significantly enhancing the overall efficiency of power electronics in EVs. The findings contribute to sustainable transportation by optimizing energy usage and extending battery life.

Machine Learning Approaches for Anomaly Detection in Smart Grids

Luqman Ali

Investigating anomaly detection in smart grids, this publication leverages machine learning techniques to enhance grid security. The study proposes adaptive algorithms for real-time anomaly detection, providing robust solutions for identifying and mitigating cybersecurity threats in smart grid infrastructures.

Advancements in Quantum Computing Architectures for Signal Processing

Luqman Ali

Exploring quantum computing architectures, this publication focuses on signal processing applications. The research investigates novel algorithms and quantum circuit designs, showcasing advancements in quantum-based signal processing capabilities. The findings contribute to the evolving field of quantum computing, unlocking new possibilities for information processing and communication.

Integrated Photonic Systems for Quantum Communication Networks

Luqman Ali

This publication explores integrated photonic systems tailored for quantum communication networks. Investigating compact and efficient photon sources, the study contributes to the development of scalable quantum communication technologies. The research addresses challenges in quantum information processing, offering insights into the design and implementation of integrated photonic components for secure communication applications.