Deeraj Kumar Kanala

Angestellt, AI Platform Engineer, OESL(ContiTech - Continental AG)
Bis 2023, Commercial Vehicle Technology, Technische Universität Kaiserslautern
Frankfurt am Main, Germany

Fähigkeiten und Kenntnisse

Github Actions
Azure AI Foundry
RAG
AI Agents
Machine Learning
Python
Data Science
Deep Learning
Artificial intelligence
PyTorch
C++
Git
Azure CLI
Kubernetes
Docker
VS Code
ADAS
Matlab
Rhapsody
UML Modelling
Neural Networks
Sysml
Vector CANoe
Vector CANape
Doors

Werdegang

Berufserfahrung von Deeraj Kumar Kanala

  • Current 10 months, since Aug 2025

    AI Platform Engineer

    OESL(ContiTech - Continental AG)

  • 2 years, Aug 2023 - Jul 2025

    System Engineer - Data Scientist - AI Solutions

    Continental AG, Continental Automotive GmbH

    Requirements Engineering and Management, System Architecture, System Verificaiton and Validation. AI Innovation: Developed Innovative AI-Driven Requirements classification tool, which helps system engineers by automating their manual job to 50% Trained NLP model with Requirements to predict requirements and their disciplines.

  • 1 year, Aug 2022 - Jul 2023

    Systems Verification and Validation

    Continental AG, Continental Automotive GmbH

  • 6 months, Oct 2022 - Mar 2023

    Master Thesis

    TU Kaiserlautern

    Topic: Multitasking learning for the dynamic safety of autonomous Vehicles, TU Kaiserslautern. Development of a unified neural network architecture to perform three different tasks. Performing ablative studies to test model behavior. Testing the model inference on different datasets (NYUDv2, KITTI, Cityscapes).

  • 7 months, Mar 2021 - Sep 2021

    Research Intern - ADAS - Traffic Light Detection

    Robert Bosch GmbH, Stuttgart

    Detected Traffic lights using state of art Neural Network Algorithms.

Ausbildung von Deeraj Kumar Kanala

  • 3 years and 6 months, Oct 2019 - Mar 2023

    Commercial Vehicle Technology

    Technische Universität Kaiserslautern

    Interdisciplinary course fouces on Automotive, electrical, and Computer Engineering.

Sprachen

  • English

    C1 (Fließend)

  • German

    B1-B2 (Gute Kenntnisse)

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