Syed Muhammad Abubakar
Computer And Software Engineer
Lahore,Punjab
Summary
Innovative , energetic Machine learning Engineer with 4 years of experience in the ML research and development of deep learning / computer vision application. Having published 4+ international research article and presented research results in high level research gatherings. Being passionate about cutting-edge technology and solving real-world problems, leading a lean team and developing new products.
Overview
2
2
Certifications
6
6
years of post-secondary education
4
4
years of professional experience
4
4
Languages
Work History
Research Associate Engineer
Institute of Microelectronics, Tsinghua University
Beijing , Beijing
2018.09 - Current
- Designed and developed analysis systems to extract information from large scale data
- Managed two Master's students thesis and supervised them with their research work and industrial projects
- Researched, implemented and developed deep learning bases models for solving problems in machine learning and digital signal processing
- Clean & structure data and build training & validate data sets by applying advance feature-engineering techniques
- Designed deep learning based Cardiac Arrhythmia detection system. Implemented in hardware with minimum power consumption and low area.
- Designed wearable bowel sounds movement device using CNN. Performed feature engineering on available bowel sounds data and achieved high classification accuracy.
- Design of Voice Activity Detection using Binarized convocational neural network. Also because of limited available data used Generative Adversarial Networks to generate real like data to increase classification accuracy and robustness of system
Research Assistant
LUMS, Pakistan
Lahore , Punjab
2016.08 - 2018.08
- Wearable health care for detection of consistent and intermittent/sporadic cardiac arrhythmias.
- Designing Patient-Specific ECG healthcare system for the detection of shockable cardiac arrhythmias using machine learning algorithms like SVM, Naïve Bayes and decision logic. Responsible for performing MATLAB simulations and then mapping the above-mentioned designs into Verilog Implementation.
- Applied software development skills to a wide range of machine learning and computer vision-related projects
Education
Master of Science - Electrical Engineering, Computer Engineering
Lahore University Of Management Sciences
2016.08 - 2018.07
Bachelor of Science - Computer Engineering
University Of Engineering And Technology Taxila
2012.08 - 2016.06
Skills
Tensorflow, Keras, PyTorch, Theano
undefinedWork Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Certification
Neural Networks and Deep Learning
Quote
Wanderer, there is no path, the path is made by walking.
Antonio Machado
Timeline
Generative Adversarial Networks
2020-10
Research Associate Engineer
Institute of Microelectronics, Tsinghua University
2018.09 - Current
Neural Networks and Deep Learning
2017-10
Research Assistant
LUMS, Pakistan
2016.08 - 2018.08
Master of Science - Electrical Engineering, Computer Engineering
Lahore University Of Management Sciences
2016.08 - 2018.07
Bachelor of Science - Computer Engineering
University Of Engineering And Technology Taxila
2012.08 - 2016.06
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