Devang Roopesh Mehta

Angestellt, Computer Vision and Artificial Intelligence Developer, Hydac Software GmbH

Bis 2023, Master of Engineering, Technische Hochschule Rosenheim

Rosenheim, Germany

About me

Exploring the intersection of software engineering, computer vision, and machine learning 🚀 Open to opportunities in scientific research, computer vision, and software engineering | Collaborative team player 📚 Finalizing an article on unsupervised defect localization in wood furniture manufacturing 🌲 🛠️ Played a pivotal role in Proto_lab - Led the development of a state-of-the-art ML pipeline for precise anomaly detection - Managed the process from requirements gathering through rigorous testing and prototype deployment - Demonstrated unwavering integrity, perseverance, and collaborative teamwork 🎓 Master's Thesis: A testament to my disciplined approach and patience BMW Internship Experience - Developed privacy compliant software solutions - Contributed to a secure computing environment 🔧 Problem Solver | Industry Partner | Collaborator | Effective Software Solutions Provider Let's connect and push the boundaries of technology together! 🌐🤝


Machine learning
MS Office
Englische Sprache
Mechatronics Engineering
Image Processing
Computer vision
Neural Networks
Deep learning
Künstliche Intelligenz
Microsoft Visual Studio
Visual Studio Code
Microsoft Visual Studio Code
Image processing
Computer Vision
Remote development
Nvidia Jetson
Python NumPy
Python pandas
Python Programmierung
Data Science
Artificial intelligence
Information technology
Data Analysis
Deep Learning
Machine Learning
Open computer vision
Digital image processing
Data Processing
Data Mining
System Integration
Object Oriented Programming (OOP)
Software Development
Artificial neural networks
Algorithm Development
Unreal Engine 5
Communication skills
Team work
Problem Solving
Interpersonal skills
Analytical skills


Professional experience for Devang Roopesh Mehta

  • Current 7 months, since Jan 2024

    Computer Vision and Artificial Intelligence Developer

    Hydac Software GmbH

  • 7 months, Mar 2023 - Sep 2023

    Research and Teaching Assistant

    proto_lab, Technische Hochschule Rosenheim

    • Refactored deep learning based anomaly localization code to deploy with azure function on the cloud and on the edge device Nvidia Jetson Orin Nano Development Kit • Benchmarked inference on the edge by quantizing the PyTorch model using Torch-TensorRT python package, starting with standard docker containers and following up to native deployment on the edge • Prepared use-case examples of applications of data science as demonstrations, exercises and assignments

  • 7 months, Nov 2022 - May 2023

    Master Thesis

    proto_lab, Technische Hochschule Rosenheim

    Defect localization on wooden boards with autoencoder based deep learning • Implemented sliding window, feature extraction with pre-trained VGG16 neural network and Kmeans clustering to classify images • Implemented Kmeans clustering to segment each image of Describable Textures Dataset for artificial anomalies • Developed a pipeline to generate anomalous data to train the neural network based on the autoencoder architecture • Familiarized with Pytorch framework and its remote execution in Docker container

  • 7 months, Jan 2022 - Jul 2022

    Software Engineer Intern

    BMW Group

    • Worked with common protocols and libraries (Garbled Circuits, Secret Sharing) in the field of Secure Multiparty Computation (SMC) for industrial use in cross-company data exchange. • Developed a software prototype for a distributed system to perform computation on sensitive data from multiple companies using Docker, Python, and MP-SPDZ • Developed APIs and prototype websites using FastAPI, Jinja2, HTML, and Python

  • 4 months, Apr 2021 - Jul 2021

    Studentische Hilfskraft

    Technische Hochschule Rosenheim

    • Developed software for an optimised algorithm to extract foreground in a 3D Point Cloud in C++ • Visualized the colour for the 3D Point Cloud for easier user accessibility in the user interface

  • 3 months, Jan 2021 - Mar 2021

    Studentische Hilfskraft

    Technische Hochschule Rosenheim

    • Literature study on BRAM read and write access for use with the Red Pitaya hardware • Modified the FPGA design in Vivado Design Suite to measure and save the frequency of an external source

  • 3 months, Oct 2020 - Dec 2020

    Studentische Hilfskraft

    Technische Hochschule Rosenheim

    • Developed test setups and necessary software for capturing images with an associated illumination. • Developed software for the optical inspection of component surfaces in an Anaconda environment with functions in Python of the OpenCV and Tensorflow libraries • Generated synthetic images for training in neural network and modified a neural network • Implemented the U-Net model for 3 class image segmentation

  • 4 months, Jun 2020 - Sep 2020

    Studentische Hilfskraft

    Technische Hochschule Rosenheim

    • Optimized the algorithms and the software in C++ in terms of execution time and • Modified an emulation program for testing the communication between the software set up as a service and the PLC • Developed a mobile test stand for testing and demonstrating the system

  • 4 months, Nov 2019 - Feb 2020

    Studentische Hifskraft

    Technische Hochschule Rosenheim

    • Selected and integrated functions of the PCL and the Realsense camera library in C++ • Created a prototype test stand for testing and demonstrating the system • Demonstrated the system in front of the industrial partner TGW using real objects

  • 2 months, Oct 2019 - Nov 2019


    Technische Hochschule Rosenheim

    • Explained the practical exercise to the participants

  • 5 months, Mar 2019 - Jul 2019

    Master Project

    Technische Hochschule Rosenheim

    Detection of Rotational Deviation of Objects based on 3D Camera • Developed a pipeline to acquire point clouds from Intel Realsense 3D camera and applied Iterative Closest Point (ICP) algorithm to compute transformation of objects. • Successful and accurate spatial transformation detection of small objects using computer vision techniques. • Software development using C++, Point Cloud Library (PCL), IntelRealsense SDK 2.0.

  • 1 year and 5 months, Mar 2017 - Jul 2018

    CADD Engineer

    UIT Group Interenational

    • Training for participants in various CAD software packages • Demonstration of the course to the prospective candidates • Focus on part design, assembly design, surface design, sheet metal design and drafting

Educational background for Devang Roopesh Mehta

  • 4 years and 10 months, Oct 2018 - Jul 2023

    Master of Engineering

    Technische Hochschule Rosenheim

  • 3 years and 8 months, Jul 2012 - Feb 2016

    Mechanical Engineering

    Vellore Institute of Technology (VIT)


  • Gujarati


  • English


  • German



Nature conservation
Bicycle touring
Image Processing
Machine Learning
Deep learning

Browse over 21 million XING members