About Me
I am a highly enthusiastic Machine Learning and Robotic Control Professional with 6+ years experience; during this prolonged period of experience, I have executed data-driven Model to generate control signal to operate a…
I am a highly enthusiastic Machine Learning and Robotic Control Professional with 6+ years experience; during this prolonged period of experience, I have executed data-driven Model to generate control signal to operate a Robotic exoskeleton. The last but not the least, I have also contributed significantly to a musical note detection model which applied an unsupervised type machine learning model at freelance robotics. I am seeking a career change that will allow me with the opportunity to further develop my professional skills and contribute to the ongoing success of a reputable institute.
Experience
Application of Machine Learning in Robotic control
Responsibilities:
Demonstrate and Tutoring the Introduction to Electrical Engineering, Electronics and Circuits
Lab, Introduction to Digital System Laboratories, Signal and System lab, Data Acquisition and
Distribution lab.
Research Work:
Designed and implemented an Adaptive Fuzzy-RBF Type Inference Model to control Robotic
Rehabilitation Exoskeleton.
Experimented with various machine learning tools such as ANN, SVM, ELM, GRNN in different
experimental protocol.
Implemented finger motion recognition with ELM.
Collection of EMG and torque Data using Thought Technology Device and Bio-Dex.
Feature Extraction of EMG with time, frequency and time-frequency domain features.
RF Tech, RIC Engineer
<p>Conducted survey of BTS indoor room of various sites in WA and their documentation<br>
Attended Swapping of Ericsson BTS with Huawei BTS U900/U2100 (2G/3G) at various sites in WA<br>
Coordinated site Integration work as RIC engineer at NOC<br>
Provisioning of script file to commission Huawei RBS and collecting ESN number (MAC address of Node B), screen shot of USB path profile for script, sequence number of the site</p>
Tutor, Lab Demonstration
<p>Demonstrate and Tutoring the Introduction to Electrical Engineering, Electronics and Circuits Lab<br>
Demonstrate and Tutoring the Introduction to Digital System Laboratories<br>
Demonstrate and Tutoring the Signal and System lab<br>
Demonstrate and Tutoring the Data Acquisition and Distribution lab<br>
Designed and implemented an Adaptive Fuzzy-RBF Type Inference Model to control Robotic Rehabilitation Exoskeleton<br>
Experimented with various machine learning tools such as ANN, SVM, ELM, GRNN in different experimental protocol<br>
Implemented finger motion recognition with ELM<br>
Collection of EMG and torque Data using Thought Technology Device and Bio-Dex<br>
Feature Extraction of EMG with time, frequency and time-frequency domain features</p>
Senior Lecturer
<p>Robot Control System<br>
PID Skill Set<br>
Position Control<br>
Force Control<br>
Velocity Control<br>
Human-Machine Interface</p>
Machine Learning Model Designer
<p>Conducting data classification model using unsupervised learning algorithms to establish relationship between Musical Note, Chord and labels<br>
Feature extraction of Musical Instrument Signal Wavelet Transformation (data Clustering)<br>
Applying Hidden Markov Model (HMM), Gaussian Mixture Model (GMM), Expectation Maximization Algorithms (EM) on Clusters extracted from Wavelet to classify Musical Notes<br>
K-Mean Clustering<br>
Fuzzy-Mean Clustering<br>
RNN<br>
CNN<br>
Deep Neural Network<br>
Programming with C++ in QT cross platform software development<br>
JIRA software for software development management</p>
RF Engineer
<p>Coverage and capacity planning using radio network planning tool (in conjunction with drive tests)<br>
Dimensioning the 2G BSS network<br>
Network Coverage Optimization with different RF parameters<br>
RBS, IDU, ODU Commissioning<br>
Tuning and validation of propagation parameters (Electrical tilt/ Mechanical tilt, antenna gain)<br>
Validating the site configuration in the field during the technical site survey visit<br>
Preparing the site survey report</p>
Lecturer
<p>Instructed fields and waves<br>
Instructed Electronics-I<br>
Instructed Electronics-II<br>
Instructed Instrumentation and Measurements<br>
Instructed House Wiring courses<br>
Demonstrated telecom labs PCM module<br>
Demonstrated telecom labs Delta Module<br>
Demonstrated telecom labs ASK<br>
Demonstrated telecom labs PSK<br>
Demonstrated telecom labs FSK<br>
Demonstrated telecom labs AM<br>
Demonstrated telecom labs FM module<br>
Demonstrated telecom labs Adaptive lab<br>
Demonstrated telecom labs Measurement and sampling module<br>
Demonstrated telecom labs Control system<br>
Demonstrated telecom labs Electronics delta module<br>
Demonstrated telecom labs Instrumentation lab<br>
Demonstrated telecom labs Machine lab<br>
Demonstrated telecom labs circuit lab</p>
Lab Demonstrator and Tutor
<p>Demonstrated lab of ATM and ISDN<br>
Demonstrated lab of Digital Signal Processing<br>
Demonstrated lab of Control system<br>
Demonstrated lab of Electronics<br>
Demonstrated lab of Electromagnetics<br>
Demonstrated lab of Industrial Electronics and Instrumentation<br>
Assisted the lecturer in conducting the classes in industrial electronics and instrumentation</p>
Tutor, Lab Demonstration
Demonstrate and Tutoring the Introduction to Electrical Engineering, Electronics and Circuits Lab, Introduction to Digital System Laboratories, Signal and System lab, Data Acquisition and Distribution lab
Senior Lecturer
Robot Control System
PID Skill Set
Position Control
Force Control
Velocity Control
Human-Machine Interface
Machine Learning Model Designer
Conducting data classification model using unsupervised learning algorithms to establish relationship between Musical Note, Chord and labels
Feature extraction of Musical Instrument Signal Wavelet Transformation (data Clustering)
Applying Hidden Markov Model (HMM), Gaussian Mixture Model (GMM), Expectation Maximization Algorithms (EM) on Clusters extracted from Wavelet to classify Musical Notes
K-Mean Clustering, Fuzzy-Mean Clustering are applied on data to find optimized centroids of Gaussian functions
RNN, CNN, Deep Neural Network are also tried to Sheet Music Note Detection
Programming with C++ in QT cross platform software development
JIRA software for software development management
RF Engineer
Coverage and capacity planning using radio network planning tool (in conjunction with drive tests), dimensioning the 2G BSS network, network Coverage Optimization with different RF parameters
RBS, IDU, ODU Commissioning, tuning and validation of propagation parameters (Electrical tilt/Mechanical tilt, antenna gain), validating the site configuration in the field during the technical site survey visit and preparing the site survey report
Lecturer
Instructed fields and waves, Electronics-I, Electronics-II, Instrumentation and Measurements, House Wiring courses
Demonstrated telecom labs PCM module, Delta Module, ASK, PSK, FSK, AM, FM module, Adaptive lab, Measurement and sampling module, Control system, Electronics delta module, Instrumentation lab, Machine lab and circuit lab
Lab Demonstrator and Tutor
Demonstrated lab of ATM and ISDN, Digital Signal Processing, Control system, Electronics, Electromagnetics, Industrial Electronics and Instrumentation
Assisted the lecturer in conducting the classes in industrial electronics and instrumentation
RF Tech, RIC Engineer
Conducted survey of BTS indoor room of various sites in WA and their documentation
Attended Swapping of Ericsson BTS with Huawei BTS U900/U2100 (2G/3G) at various sites in WA
Coordinated site Integration work as RIC engineer at NOC
Provisioning of script file to commission Huawei RBS and collecting ESN number (MAC address of Node B), screen shot of USB path profile for script, sequence number of the site