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Jagadeesh R J

Software Associate

  • Bengaluru, KA
  • 5 years

Available From: Available

    Candidate's About

    I have 7 years of experience in the IT and automotive industry, specializing in computer vision and R&D. With a strong background in machine learning, I hold a Master's degree in VLSI Design and Embedded Systems. Proficient in Python, C, and shell scripting, I have utilized tools such as MATLAB, Simulink, LabVIEW, and Xilinx ISE. My technical expertise also extends to scientific applications like Eclipse, Flash Magic, and Arduino. I

    Work & Experience

    Software Associate

    Dec 20 - PRESENT

    Technology

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      Python
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      Machine Learning
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      Tensorflow
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      C

    Tools

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      Eclipse
    • Develop and implement software solutions according to project requirements.
    • Collaborate with cross-functional teams to analyze user needs and provide technical recommendations.
    • Perform coding, testing, debugging, and documentation activities.
    • Ensure software quality and adhere to coding standards.
    • Participate in project meetings and provide regular updates t...
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    C3HL

    Software Associate

    • The test automation project for automotive cluster testing was designed and developed, focusing on effective testing and significant cost savings.
    • Hardware components such as cluster, camera, relay boards, and programmable power supply were integrated into the project.
    • The software eclipse IDE was utilized to facilitate the transmission of software signals to the cluster through CANoe.
    • The project involved capturing images, obtaining responses from the cluster, and verifying captured images against predefined expected values.
    • Test case results were printed, and reports were generated accordingly.
    • The project encompassed more than 4000 test cases related to telltales, gauges, illumination, and diagnostics.
    • A versatile framework was established to support various cluster models within the variant.
    • Python
    • Eclipse
    • CANoe
    • Open-cv
    • Tkinter
    • Robotframework
    • Numpy
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    Artificial Intelligence (AI) to guarantee drawing compliance

    Software Associate

    • The project aimed to automate the manual normalization process of engineering drawings.
    • It also involved automating the tasks of drawing downloading and report generation.
    • MATLAB's computer vision and machine learning toolboxes were utilized for development and testing.
    • The project followed an agile methodology for product delivery.
    • Automation techniques were applied to streamline the normalization process and improve efficiency.
    • MATLAB 2016b
    • GUI
    • OCR
    • Ghostscript
    • Graphics Image
    • Shell scripting
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    Extraction and analysis of data from Technical Data for Engineering (TDE) documents

    Software Associate

    • Data extraction from PDF, a non-engineering task, was automated using data extraction and analysis tools in MATLAB.
    • Extracted data was sorted and reframed according to specific requirements.
    • Necessary data was extracted and filtered using keywords and data analysis techniques.
    • Automation streamlined the process and improved efficiency in extracting and organizing data from PDF files.
    • MATLAB 2018a
    • Python
    • Machine Learning
    • tensorflow
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    Data Analysis for Chatbot for Engineering Support

    Software Associate

    • Chatbot project aimed at providing immediate responses and support for engineering applications like NX.
    • Involved initial data extraction and database support, extracting sample input data from the existing call request database.
    • Reorganized and restructured the data and performed analysis, including word cloud visualization, to identify the most frequent call requests.
    • Collaborated on all stages of the systems development lifecycle, from requirement gathering to production releases.
    • Implemented and evaluated artificial intelligence, machine learning algorithms, and neural networks for various projects.
    • Developed automation scripts for daily data extraction, downloading, and analysis tasks.
    • Designed intuitive graphical user interfaces to enhance user experience, utilizing knowledge of data integration and database design.
    • Created proof-of-concept prototype applications for demonstration and evaluation purposes.
    • Conducted regression testing, analyzed results, and modified scripts based on observations, following agile methodology.
    • Actively participated in manager level team meetings and discussions to ensure smooth and effective development of multiple projects.
    • Researched, designed, and implemented scalable applications for information identification, extraction, analysis, and retrieval.
    • MATLAB 2018a
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    S

    Software Engineer

    Sep 18 - Dec 20

    Technology

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      Python
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      Machine Learning
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      C
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      Tensorflow

    Tools

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      Eclipse
    • Developed and maintained software applications, adhering to project requirements and coding standards.
    • Collaborated with cross-functional teams to gather and analyze user requirements.
    • Implemented software solutions, performed testing, and resolved any identified defects.
    • Participated in code reviews and contributed to the improvement of development processes.
      • <...
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    S

    Software Developer

    Jul 15 - Aug 18

    Technology

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      Tensorflow
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      Machine Learning
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      Python
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      C

    Tools

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      Eclipse
    • Developed software solutions for Pragmatic Embd Solutions.
    • Collaborated with cross-functional teams to gather requirements and design applications.
    • Wrote and tested code, debugged issues, and optimized performance.
    • Participated in code reviews and provided feedback.
    • Maintained documentation and provided technical support to clients.

    breast cancer detection

    Freelancer

    • Successfully completed MATLAB, Deep Learning, and Machine Learning Onramp courses.
    • Acquired in-depth knowledge and practical skills in MATLAB programming.
    • Developed a breast cancer detection project using feature-level fusion of mammogram and tomogram images.
    • Implemented image preprocessing techniques and extracted the region of interest (ROI) using thresholding.
    • Calculated spatial and texture features of the ROI and performed fusion using various techniques.
    • Trained deep learning neural networks and evaluated the model using ROC curves and confusion matrix.
    • Implemented segmentation techniques for mango and citrus fruit using seed region growing, contour-based, and k-means segmentation.
    • Detected fruit defects and evaluated performance using different classifiers.
    • Worked on various other freelancing projects including multimodal biometric authentication, unusual detection in ATM, human action detection, Kannada OCR extraction, and more.
    • Python
    • Eclipse
    • CANoe
    • Open-cv
    • Tkinter
    • Robotframework
    • Numpy
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    Face Recognition based attendance monitoring system

    Software Developer

    • Designed an AI-based unmonitored automated attendance monitoring system using face recognition.
    • Incorporated PCA and Viola-Jones algorithm for face detection and recognition.
    • Integrated real-time camera feed for timely attendance tracking.
    • Extracted attendance results automatically and provided alerts for absentees.
    • Focused on developing a product that eliminates the need for manual attendance monitoring.
    • Matlab
    • GUI
    • M-scripting
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    Agribot

    Software Developer

    • Developed a product for farmers to aid in the safekeeping and timely inspection of farmland for infections.
    • Incorporated a hardware module consisting of a simple robot with a camera for capturing real-time images.
    • Sent captured images to a base station for disease detection using pattern recognition and classification in Matlab.
    • Sent instructions to the robot for further actions based on the disease detection results.
    • Aimed to provide farmers with an automated system to detect and address potential infections in their farmland.
    • Matlab
    • Embedded
    • pattern matching
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    Deaf, Dumb and Blind communication

    Software Developer

    • Developed a communication system for orphanages and old age homes to bridge the gap caused by different disabilities.
    • Implemented hand gesture recognition to convert hand gestures into audio and text outputs.
    • Utilized audio and image classification techniques to convert audio inputs into text and gesture outputs.
    • Aimed to enhance communication for individuals with disabilities, providing them with alternative means of expression and understanding.
    • Created a system that enables gesture-based communication for a more inclusive and accessible environment.
    • Matlab
    • audio processing
    • image processing
    • pattern recognition
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    Brain tumor segmentation

    Software Developer

    • Segmented tumor regions in MRI brain images using SVM and watershed-based segmentation techniques.
    • Classified tumors into different types using classifiers.
    • Designed product elements including image recognition, handwriting recognition, audio, video, and device-to-device communication.
    • Evaluated future projects and aligned them with critical path schedule requirements in collaboration with management.
    • Modified existing software to correct errors and improved performance through the implementation of new algorithms.
    • Assisted clients and internal staff in troubleshooting software issues and provided step-by-step guidance.
    • Manipulated and converted documents and reports to meet the specific needs of personnel or projects.
    • Conducted testing of programs and databases to identify issues and implemented necessary modifications.
    • Matlab
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    Various segmentation techniques for Mango and citrus fruit segmentation

    Freelancer

    • Implemented recent mango fruit segmentation techniques and detected defects in the fruits.
    • Evaluated the performance using various classifiers.
    • Successfully implemented segmentation algorithms such as seed region growing, contour-based segmentation, and k-means based segmentation.
    • Calculated accuracy based on ground truth images to evaluate the effectiveness of the implemented techniques.
    • Matlab
    • M-scripting
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    Education

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    Master of Technology

    Visvesvaraya Technological University
    2013 - 2015
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    Bachelor of Engineering (Electronics and Communication)

    Visvesvaraya Technological University
    2009 - 2013

    Certificates

    M

    Deep Learning and Machine Learning Onramp

    Mathworks Training Services
    2021 - 2021

    Achievements

    • Received the Best Paper Presentation Award for an academic research paper published in the 2015 edition of McGraw Hill. Presented the paper at the International Conference on Communication and Computing in 2015.
    • Received the Bronze medal for outstanding performance in a developer role as an IT professional at Renault Nissan Technology. Nominated for the Team Innovation Awards for contributions to innovative projects.