Shimraz R S Hameed
Radar Software Development Engineer (R & D) at BIT-TS- Claim this Profile
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English Professional working proficiency
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German Limited working proficiency
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Hindi Native or bilingual proficiency
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Kannada Native or bilingual proficiency
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Tamil Native or bilingual proficiency
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Urdu Native or bilingual proficiency
Topline Score
Bio
Credentials
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Deep Learning Specialization
CourseraAug, 2022- Sep, 2024 -
Sequence Models
CourseraAug, 2022- Sep, 2024 -
Object Localization with TensorFlow
CourseraMay, 2022- Sep, 2024 -
Fundamentals of Reinforcement Learning
CourseraMar, 2022- Sep, 2024 -
Deep Learning with PyTorch : Neural Style Transfer
CourseraMar, 2022- Sep, 2024 -
Hackathon Participation
START GlobalMar, 2022- Sep, 2024 -
Build Basic Generative Adversarial Networks (GANs)
CourseraAug, 2021- Sep, 2024 -
Convolutional Neural Networks
CourseraAug, 2021- Sep, 2024 -
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
CourseraMay, 2021- Sep, 2024 -
Neural Networks and Deep Learning
CourseraMay, 2021- Sep, 2024 -
Structuring Machine Learning Projects
CourseraMay, 2021- Sep, 2024
Experience
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BIT-TS
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Germany
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IT Services and IT Consulting
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1 - 100 Employee
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Radar Software Development Engineer (R & D)
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Jan 2023 - Present
- Successfully ported a Python radar plugin (ADC, CFAR, DoA, etc.) to C++, enhancing code efficiency and maintainability for obtaining simulated point cloud data. - Successfully restructured the raw radar data processing pipeline, converting the initial 4-dimensional data cube into a streamlined 1-dimensional cube. This strategic overhaul resulted in a remarkable reduction in execution time, decreasing processing time from 1 minute to under 10 seconds. - Implemented ROS2 visualization capabilities for radar point cloud data from Different radar systems, enhancing data analysis and interpretation. - Deployed server-based code execution and leveraged the power of OSPRay to efficiently use data pointers, eliminating the need for file-based data retrieval. - Demonstrated expertise in signal processing by implementing various advanced algorithms in C++, including the Constant False Alarm Rate (CFAR) detector, direction of arrival estimation, Fast Fourier Transform (FFT), and demodulation. These efforts significantly improved the precision and reliability of detection outcomes. - Spearheaded Simultaneous Localization and Mapping (SLAM) using radar point cloud data and radar PNG images, contributing to enhanced navigation and mapping capabilities. - Proficient in radar signal processing, including antenna calibration, Iterative Closest Point (ICP) algorithms, cross-correlation techniques, and range data-based tracking. - Developed a user-friendly software interface for Vector Network Analyzers (VNA) and Data Acquisition system (DAQ), streamlining data acquisition and analysis processes. Show less
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Universität Siegen
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Germany
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Higher Education
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1 - 100 Employee
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Teaching Assistant, Ubiquitous Computing
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Apr 2021 - Dec 2022
- Conducted Lab Exercise sessions for more than 50 first-year Master's students. - Tutoring in object-oriented programming in C++ and clean code principles. - Evaluation and grading of coding assignments and suggesting feedback. - Conducted Lab Exercise sessions for more than 50 first-year Master's students. - Tutoring in object-oriented programming in C++ and clean code principles. - Evaluation and grading of coding assignments and suggesting feedback.
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Metso Outotec
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Finland
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Machinery Manufacturing
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700 & Above Employee
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Master Thesis
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Nov 2021 - Apr 2022
- Researched Deep Reinforcement Learning for controlling a dynamic system - Designed various SISO system environments and their suitable reward function. - Control of position in Spring Mass Damper System. - Control of pressure through blower speed by DDPG algorithm and PID controller as a benchmark. - Control of pellets size from the iron industry. - Tools used: OpenAI, stablebaselines3, DDPG algorithm. - Researched Deep Reinforcement Learning for controlling a dynamic system - Designed various SISO system environments and their suitable reward function. - Control of position in Spring Mass Damper System. - Control of pressure through blower speed by DDPG algorithm and PID controller as a benchmark. - Control of pellets size from the iron industry. - Tools used: OpenAI, stablebaselines3, DDPG algorithm.
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BigAppCompany
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India
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Software Development
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1 - 100 Employee
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Machine Learning / AI Engineer
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Aug 2018 - Nov 2018
- Trained and implemented concepts of machine learning using python. - Collaborated in developing a Chat-bot project. - Trained and implemented concepts of machine learning using python. - Collaborated in developing a Chat-bot project.
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Engineer Internship as Product design head
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Feb 2018 - Apr 2018
- Nozzle is a part of yarn machine which is used to spin the coir to form yarn. Design and - Fabrication of nozzle for 2 ply coir yarn machine nozzle was completed successfully, which lead 40% increase in production. Tools : Autodesk, Solidworks. - Nozzle is a part of yarn machine which is used to spin the coir to form yarn. Design and - Fabrication of nozzle for 2 ply coir yarn machine nozzle was completed successfully, which lead 40% increase in production. Tools : Autodesk, Solidworks.
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Education
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2019 - 2022
Universität Siegen
Master's degree, Mechatronics, Robotics, and Automation Engineering -
2014 - 2018
Acharya Institute Of Technology
Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering -
2013 - 2014
Sindhi College of Commerce, No.33/2 B, Kempaprua Hebbal, Bangalore -64
II puc, PCMC
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