Resume
Mohammed Nabeel Idrees
Murphy, TX 75094| ------------
------------| ------------/in/nabeel-idrees/
OBJECTIVE
Seeking an internship offer in Electrical Engineering during fall 2020 in order to build upon my technical and professional skills.
EDUCATION
The University of Texas at Dallas, Richardson, TX GPA: 3.06/4
Masters of Science in Electrical Engineering May 2021
? Jonsson School Graduate Scholarship Recipient
Osmania University, Hyderabad, India GPA: 3.3/4
Bachelors of Engineering in Electronics & Communication Engineering June 2019
TECHNICAL SKILLS
Programming Languages: Embedded C, C, C++, Python (TensorFlow, OpenCV), Verilog, MATLAB
Operating Systems: Windows, ROS, Raspbian, Linux
Applications: Arduino, CV-AVR, MATLAB, PSpice, Cadence, Keil-uvision, PyCharm, SIMULINK
Device Modules: Raspberry Pi, Arduino series, Atmega series, TI-MSP series
WORK EXPERIENCE
Trindec Technologies, Hyderabad, India January 2019 - June 2019
Perception Intern
• Incorporated Naïve Bayes algorithm in embedded electronics to determine the decision threshold condition for various target outputs.
• Developed an AI based Chatbot on Raspberry Pi using different ML algorithms– Multi Layer Perceptron and Convolutional Neural Network (CNN). Increased the training efficiency of the deep learning model by 5%.
• Interfaced NLP programming with Raspberry Pi and text-speech algorithms in python to achieve the desired outputs of conversation flow.
ACADEMIC PROJECT
Deep Learning Based Speech Denoising Machine Learning August 2019 – December 2019
• Tools/Techniques: MATLAB, Batch normalization, Adam’s optimization algorithm, SIMULINK.
• Designed an efficient FCNN architecture to develop a self-supervised deep learning-based solution for denoising real-time speech.
• Achieved subjective accuracy of 89% by comparing versions of noised and denoised speech signals.
ME-ME the AI based Chatbot Embedded Electronic, AI December 2018 – April 2019
• Tools/Techniques: Raspbian OS, Python & Debian Programming, 3D Printing
• Designed and implemented a learning assistant on Raspberry Pi by incorporating audio communication features to conduct conversational revision sessions. Developed to help students prepare for exams.
• Augmented speech recognition efficiency by 25% and improved the response time by 10%.
Synchronizing Bots Swarm robotics January 2018 – April 2018
• Tools/Techniques: Arduino programming, Master-slave operation technique, GSFK modulation
• Programmed master and slave robots to communicate over nRF with each other and travel in coordination with master robot. Selected for 100% funding by college’s R&D center out of 85 projects.
The Road Doctor-Pothole Filler Robotics January 2017 – April 2017
• Designed and constructed an autonomous robot that could detect and fill potholes with sand while traversing on roads using ultrasonic sensors, obstacle avoiding and sand filling mechanisms.
• Analyzed the characteristics of ultrasonic wave emission & reception. Developed suitable embedded C code to calculate the depth of pothole and distance from obstacles using ultrasonic sensors.
• Fabricated a mechanism using micro servos to control the flow of sand filling in potholes.
ACTIVITIES
IEEE RAS Student chapter MJCET, Vice Chairperson 2018-19
Robotics Club MJCET, Vice Chairperson 2017-18
MOSAK India IEEE International Conference at Hyderabad, General Secretary Jan 2019 – Feb 2019
ELIGIBILITY: Eligible to work part time and full time for up to 36 months without sponsorship.
Mohammed Nabeel Idrees
Murphy, TX 75094| ------------
------------| ------------/in/nabeel-idrees/
OBJECTIVE
Seeking an internship offer in Electrical Engineering during fall 2020 in order to build upon my technical and professional skills.
EDUCATION
The University of Texas at Dallas, Richardson, TX GPA: 3.06/4
Masters of Science in Electrical Engineering May 2021
? Jonsson School Graduate Scholarship Recipient
Osmania University, Hyderabad, India GPA: 3.3/4
Bachelors of Engineering in Electronics & Communication Engineering June 2019
TECHNICAL SKILLS
Programming Languages: Embedded C, C, C++, Python (TensorFlow, OpenCV), Verilog, MATLAB
Operating Systems: Windows, ROS, Raspbian, Linux
Applications: Arduino, CV-AVR, MATLAB, PSpice, Cadence, Keil-uvision, PyCharm, SIMULINK
Device Modules: Raspberry Pi, Arduino series, Atmega series, TI-MSP series
WORK EXPERIENCE
Trindec Technologies, Hyderabad, India January 2019 - June 2019
Perception Intern
• Incorporated Naïve Bayes algorithm in embedded electronics to determine the decision threshold condition for various target outputs.
• Developed an AI based Chatbot on Raspberry Pi using different ML algorithms– Multi Layer Perceptron and Convolutional Neural Network (CNN). Increased the training efficiency of the deep learning model by 5%.
• Interfaced NLP programming with Raspberry Pi and text-speech algorithms in python to achieve the desired outputs of conversation flow.
ACADEMIC PROJECT
Deep Learning Based Speech Denoising Machine Learning August 2019 – December 2019
• Tools/Techniques: MATLAB, Batch normalization, Adam’s optimization algorithm, SIMULINK.
• Designed an efficient FCNN architecture to develop a self-supervised deep learning-based solution for denoising real-time speech.
• Achieved subjective accuracy of 89% by comparing versions of noised and denoised speech signals.
ME-ME the AI based Chatbot Embedded Electronic, AI December 2018 – April 2019
• Tools/Techniques: Raspbian OS, Python & Debian Programming, 3D Printing
• Designed and implemented a learning assistant on Raspberry Pi by incorporating audio communication features to conduct conversational revision sessions. Developed to help students prepare for exams.
• Augmented speech recognition efficiency by 25% and improved the response time by 10%.
Synchronizing Bots Swarm robotics January 2018 – April 2018
• Tools/Techniques: Arduino programming, Master-slave operation technique, GSFK modulation
• Programmed master and slave robots to communicate over nRF with each other and travel in coordination with master robot. Selected for 100% funding by college’s R&D center out of 85 projects.
The Road Doctor-Pothole Filler Robotics January 2017 – April 2017
• Designed and constructed an autonomous robot that could detect and fill potholes with sand while traversing on roads using ultrasonic sensors, obstacle avoiding and sand filling mechanisms.
• Analyzed the characteristics of ultrasonic wave emission & reception. Developed suitable embedded C code to calculate the depth of pothole and distance from obstacles using ultrasonic sensors.
• Fabricated a mechanism using micro servos to control the flow of sand filling in potholes.
ACTIVITIES
IEEE RAS Student chapter MJCET, Vice Chairperson 2018-19
Robotics Club MJCET, Vice Chairperson 2017-18
MOSAK India IEEE International Conference at Hyderabad, General Secretary Jan 2019 – Feb 2019
ELIGIBILITY: Eligible to work part time and full time for up to 36 months without sponsorship.