Ebin Zacharias

Angestellt, Product Owner - Camera-based Assistance & Fleet Software for autonomous vehicles, TII KAMAG
Bis 2020, Commercial Vehicle Technology, TU Kaiserslautern
Ulm, Deutschland

Fähigkeiten und Kenntnisse

Python Programmierung
LaTeX Editor
Data acquisition
Deep learning
Tensorflow
Keras
Image Processing
Git
Microsoft Azure
Microsoft Excel
Microsoft Word
Microsoft Powerpoint
MLOps
Linux
Machine Learning
Computer Vision
Artificial intelligence
Natural Language Processing
OpenCV
CUDA
Python pandas
Microsoft Azure DevOps
Software Development
Docker
Agile Development
Neural Networks
NumPy
Flask (web framework)
scikit-learn
Microsoft azure
Enterprise architecture
Kubernetes
DevOps
Microservices
System Design

Werdegang

Berufserfahrung von Ebin Zacharias

  • Bis heute 1 Jahr und 11 Monate, seit Sep. 2023

    Product Owner - Camera-based Assistance & Fleet Software for autonomous vehicles

    TII KAMAG

    - Defining and managing the product roadmap for camera-based remote assistance and fleet software. - Leading Agile development with Azure DevOps, including sprint planning and backlog management. - Overseeing API development, system interfaces, and integration with autonomous vehicle platforms. - Driving error management, monitoring, and logging to ensure system reliability. - Collaborating with cross-functional teams to develop scalable automation and AI-driven features.

  • Bis heute 4 Jahre und 8 Monate, seit Dez. 2020

    AI Engineer - Autonomous Driving

    TII KAMAG

    - Develop camera systems to enhance autonomous vehicle performance. Specialize in AI, deep learning, and computer vision applications. - Manage projects and sprints using Azure DevOps. Skilled in project management, agile methodologies, and process creation. - Ensure AI safety and compliance with the EU AI Act, continuously monitoring regulatory changes. - Expertise in NVIDIA Jetson devices, CUDA, DeepStream SDK, and end-to-end pipelines. - Proficient in Azure cloud solutions.

  • 3 Monate, Sep. 2020 - Nov. 2020

    Computer Vision Intern - Natural Language Processing

    TII KAMAG
  • 6 Monate, März 2020 - Aug. 2020

    Master Thesis

    TII KAMAG

    Topic: Deep Learning based Scene Text Recognition in Mobile Outdoor Application Grade: 1.0 - Proposed a scene text recognition system following a two-stage pipeline. (System Accuracy = 98.2%) - Text detection was achieved using a Connectionist Text Proposal Network-based approach. (Accuracy = 100%) - Analysed attention mechanism and text recognition using LSTM network was trained. (Accuracy = 98.92%) - A synthetic data generator is proposed using Python and OpenCV.

  • 6 Monate, Sep. 2019 - Feb. 2020

    Computer Vision Intern

    TII KAMAG

    Developed a scene-text detection system using image processing techniques.

  • 6 Monate, März 2019 - Aug. 2019

    Project Work

    TII KAMAG

    - Developed a pipeline for swap-body detection and recognition by extracting the ILU code. Gained experience with data acquisition and image annotation.

Ausbildung von Ebin Zacharias

  • 3 Jahre und 2 Monate, Okt. 2017 - Nov. 2020

    Commercial Vehicle Technology

    TU Kaiserslautern

    - Related Coursework: 2D Image Processing, Foundations of Software Engineering, Software Development for Commercial Vehicles - Seminar on "Fuel Consumption Control Strategy for A Parallel Mild Hybrid Electric Vehicle" - Seminar on "Positive Temperature Coefficient Heaters (PTC)" - Scientific Writing - "Electrification of Trucks: Current Limitations and the Impact of Electric Drive"

  • 3 Jahre und 9 Monate, Sep. 2012 - Mai 2016

    Automobile Engineering

    University of Calicut

Sprachen

  • Deutsch

    Gut

  • Englisch

    Muttersprache

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