Mahesh Sulugodu manjunath

Angestellt, Machine Learning Engineer, CMORE Automotive GmbH

Lindau, Deutschland

Fähigkeiten und Kenntnisse

Machine learning
Computer vision
Object Oriented Programming
Java
Python
C++
MatLab
Embedded Systems
C Programming
JSP
Theano
MatConvNet
Caffe
Android Development
OpenCV

Werdegang

Berufserfahrung von Mahesh Sulugodu manjunath

  • Bis heute 7 Jahre und 2 Monate, seit Mai 2017

    Machine Learning Engineer

    CMORE Automotive GmbH

    Developing algorithms for Autonomous Driving (ADAS) - Developing deep learning models for 2-D object detection, scene segmentation using deep learning. - 3-D Lidar point cloud processing and object classification. Containerization of algorithms using Docker - Docker container and building Docker images. RESTful API and Web-services - Deploying TensorFlow models as Web-services. - Configuring NGINX web servers - Building and deploying TensorFlow serving models

  • 8 Monate, Mai 2016 - Dez. 2016

    Machine Learning engineer

    picalike GmbH

    Project: Fashion objects classification and Object detection using Deep Neural Network • Designing of deep learning network for real time detection of fashion objects. • A framework is developed for classification of similar fashion images. • Development of visual search application of fashion objects for mobile E-commerce • Development of android application for uploading images to the server • Android client server communication for parsing HTML data from server

  • 6 Monate, Apr. 2016 - Sep. 2016

    Thesis work

    University of the German Federal Armed Forces, Hamburg, Germany

    Project: Semantic Segmentation using Convolutional Neural Networks • Design of fully Convolutional network for for semantic segmentation of ship. • Pixel wise classification for scene labeling of sea shore images. • Enhancing the prediction accuracy of neural network. • Deep learning for object detection

  • 4 Monate, Aug. 2015 - Nov. 2015

    Internship

    picalike GmbH

    Project: Fashion classification and Object detection using Machine Learning (supervised learning). • Deep learning for real time Object detection of fashion items from the captured images. • Classification of detected fashion items. • Working of GPU's for faster computation. • Developing a demo application for real time classification of fashion objects .

  • 1 Jahr und 3 Monate, Mai 2014 - Juli 2015

    Research assistant

    Hochleistungs Produktion von CFK-Structure

    Project: Monitoring the production of CFRP fibers using thermal image camera. • Developing a new monitoring system for automated carbon fiber placements (CFRP) using thermal image camera. • Includes fault detection, verifying fiber width, hot and cold spots and monitoring the process using image processing algorithms. • Robotic communication with BECKHOFF PLC using Twin-CAT 3.

  • 2 Jahre und 10 Monate, Dez. 2010 - Sep. 2013

    Software Developer

    Tata Consultancy Services Ltd

    Project: Singapore Airlines customer booking modules, Singapore. and Deutsche Bank • Programming experience in JAVA and embedded C and C++ • Web development for customer booking module and CSS and java scripts.

Ausbildung von Mahesh Sulugodu manjunath

  • 3 Jahre, Okt. 2013 - Sep. 2016

    Information and Communication systems

    Technische Universität Hamburg-Harburg

    Machine Learning, Computer Vision, Software for Embedded Systems, Image Processing and Digital Audio Signal Processing

  • 4 Jahre und 1 Monat, Juni 2006 - Juni 2010

    Electronics and Communication Engineering

    Visvesvaraya Technological University

    Image Processing, Microcontrollers, Embedded Systems Desing, Digital Signal Processing, DSP Algorithms and Architecture

Sprachen

  • Englisch

    Muttersprache

  • Deutsch

    Grundlagen

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