Summary
Overview
Work History
Education
Skills
Work Availability
Certification
Quote
Languages
Timeline
SoftwareEngineer
Syed Muhammad Abubakar

Syed Muhammad Abubakar

Computer And Software Engineer
Lahore

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
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
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

OpenCV, Cuda, Scikit, Numpy, Pnadas

Python, MATLAB, C/C++, Verilog

Embedded Systems, RTOS, Arduino

ModelSim, DVE, Xilinx ISE, Altium, Cadence, Synopsys

Academic and Report Writing, Presentation Skills

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
swipe to browse

Certification

Neural Networks and Deep Learning

2017-10

Generative Adversarial Networks

2020-10

Quote

Wanderer, there is no path, the path is made by walking.
Antonio Machado

Languages

English

Urdu

Chinese

Punjabi

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
Syed Muhammad AbubakarComputer And Software Engineer