Waseem Khan

Experience

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  Center for Advanced Research in Engineering (CARE)

  Apr 2013 - Jan 2017

  Project Overview: MULTIMODE MULTIBAND SOFTWARE DEFINED RADIORuntime Reconfigurable Software Defined Communication System is an advanced multimode- multiband Software Defined Radio (SDR) that supports different configurations and form factors for robust tactical communications. Its transceiver achieves high performance in a network environment with enhanced secure voice and high-speed data capabilities through state-of-the-art technology.Responsibilities:• Designed, simulated on Matlab/Simulink and tested Digital up and down Converter on FPGA spartan3A and analyzed its performance in terms of its resource utilization and power consumption• Contributed in Designing and simulation of narrowband digital waveforms on Matlab/Simulink as well as developed some modules in C language on a custom built system on chip (SoC) platform for the physical layer of the tactical radio• Debugged and test digital waveforms on application layer• Contributed in Integration process of baseband and RF chains at transmitter as well as on receiver sides and verified it through rigorous tests Show less

  • Design Engineer

    Mar 2015 - Jan 2017

  • Research Associate

    Mar 2014 - Feb 2015

  • Trainee Engineer

    Apr 2013 - Feb 2014
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  TU Chemnitz

  Apr 2018 - Aug 2018

  Practical Training: Automotive Software Engineering

  Tasks performed:Development of embedded software using the Automotive Open Systems Architecture (AUTOSAR) standard including methodology using AUTOSAR tool. Performing various assignments on the development of functionality for a demo-car with interaction of sensors and actuator via ECU using CAN protocols. Defining software component layer (SWC) and mapping SWC to ECU. Development of application using System Desk from dSpace. Testing ECU functionality by generating black box and white box test cases Show less

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  Technische Universität Dresden

  Aug 2018 - Sept 2018

  Student Assistant

  Project: Porting of Image Processing library on FPGAHardware and Tools: Xilinx Pynq Z1 board , Xilinx SDSOC simulation tools.Language used: C/C++Tasks Performed: Implemented, tested and verified splitting of Image, applied filters dynamically through serial communication with FPGA and finally merged the output of different filtered chunks of images

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  Technische Universität Chemnitz

  Sept 2018 - Jul 2019

  Project: Image and Video Analysis/ Object and Person Detection and Tracking - Experimental implementation and testing of image processing algorithms on compact hardware systemsAchievement: Combined and analysed the captured data (images and video) to get the understanding of activities and create interpretations of their meaning of each person and objectAchievement: My sole responsibility was to determine the performance of Machine/Deep learning frameworks, libraries and algorithms for the purpose of performing stereo matching (of surrounding objects and persons) on Nvidia Jetson Tx2 board using its GPU computing power. To achieve this goal, I used Caffe as framework and artificial intelligence library Openpose. I used docker to containerize all software and its dependencies like CUDA, Cudnn, Nvidia drivers,python etc. to have a clean environment.The purpose of performing this activity was to finally compare the performance in frames/second on Nvidia Jetson Tx2 (with the help of 02 cameras) against the Intenta sensors on which conventional computer vision stereo matching algorithms were running. I achieved 1.2~1.5 frame per second performance with live feed from camera.• Subtopics/Methods: Image and Video Processing, Machine and Deep Learning• Programming Languages: Python, CUDA C/C++/OpenCV• Platform: Nvidia Jetson TX2 Kit• Models/Software: OpenPose • Deep Learning Frameworks: Caffe • Operating System: Ubuntu 16.04 (with Docker) Show less

  • Research Assistant

    Mar 2019 - Jul 2019

  • Research Assistant

    Sept 2018 - May 2019
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  ZF Group

  Sept 2019 - Mar 2020

  Intern

  Title: Evaluation of the suitability of different processors for FMCW radar• analyzed the computational requirements and debugged existing signal processing algorithms (implemented in Python, C++ and C)• Developed an efficient and optimized implementation in C and Neon Intrinsics on ARM processor close to assembly in performance, to evaluate the suitability of the given platforms for the computing challenges

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  CMC ViewR

  Aug 2020 - Mar 2021

  Master Thesis Project

  Development and analysis of a Virtual Reality application on Oculus Quest for its examination and evaluation in the field of Plant and mechanical EngineeringLoading Glb 3D models at runtime from serverTools and Languages: Unity3D, C#, Rider, Oculus Quest, Git, Scrum

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  SICK Sensor Intelligence

  Apr 2021 - Sept 2021

  RPA Developer

  • development of intelligent Bots using Robotic Process Automation with UIPath to automate complex processes• manage and process large data from the SAP system, Microsoft Excel, and Microsoft SQL Server and produce the desired outcome as per design• test automation workflows• development of workflows based on the low code platform Intrexx

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  Technical University of Munich

  Apr 2021 - Jun 2021

  Augmented Reality Software Engineer
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  Bosch

  Jun 2022 - now

  Software Engineer

  Developed and automated build and DevOps pipelines, enhancing efficiency.Implemented automation and quality checks with CMake, Bash and Python.Streamlined CX processes using automation and GitHub Actions.Set up and optimized test environments, improving product testing.