I am a versatile, analytical, and impact-driven engineering professional specialized in autonomous driving technologies and software development for intelligent mobility systems. With a strong foundation in computer vision, deep learning, data engineering, and software engineering, I have worked on hands-on projects that advance cutting-edge mobility solutions, currently being honed through my master's program with a focus on AI integration in automated driving. My experience spans designing and implementing multi-modal perception systems, managing large-scale data annotation pipelines, and leading cost data analysis projects. I have also contributed as a requirements engineer collaborating closely with developers to deliver functional modules ahead of schedule. Fluent in multiple programming languages and tools, I am passionate about leveraging technology to create smarter and safer autonomous vehicles.…

Noushiq Mohammed K

I am a versatile, analytical, and impact-driven engineering professional specialized in autonomous driving technologies and software development for intelligent mobility systems. With a strong foundation in computer vision, deep learning, data engineering, and software engineering, I have worked on hands-on projects that advance cutting-edge mobility solutions, currently being honed through my master's program with a focus on AI integration in automated driving. My experience spans designing and implementing multi-modal perception systems, managing large-scale data annotation pipelines, and leading cost data analysis projects. I have also contributed as a requirements engineer collaborating closely with developers to deliver functional modules ahead of schedule. Fluent in multiple programming languages and tools, I am passionate about leveraging technology to create smarter and safer autonomous vehicles.…

Available to hire

I am a versatile, analytical, and impact-driven engineering professional specialized in autonomous driving technologies and software development for intelligent mobility systems. With a strong foundation in computer vision, deep learning, data engineering, and software engineering, I have worked on hands-on projects that advance cutting-edge mobility solutions, currently being honed through my master’s program with a focus on AI integration in automated driving.

My experience spans designing and implementing multi-modal perception systems, managing large-scale data annotation pipelines, and leading cost data analysis projects. I have also contributed as a requirements engineer collaborating closely with developers to deliver functional modules ahead of schedule. Fluent in multiple programming languages and tools, I am passionate about leveraging technology to create smarter and safer autonomous vehicles.

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Skills

Experience Level

Python
Expert
PyTorch
Expert
C++
Intermediate
Data Science
Intermediate
GitHub
Intermediate
Jira
Intermediate
AI Data Labelling
Intermediate
bash
Intermediate
Docker
Intermediate
Power BI
Intermediate

Language

English
Fluent
German
Intermediate
Malayalam
Fluent
Hindi
Intermediate
Tamil
Intermediate

Work Experience

Master Thesis at Institute for Intelligent Systems
March 1, 2025 - Present
Advancing multi-modal perception for LLM-based end-to-end autonomous driving by analyzing and evaluating LLM and multi-modal perception autonomous driving systems architecture, datasets, and training. Designed a method to integrate traffic light and sign ground truth data from CARLA through Python API to enhance LLM decision making. Developed a perception stack with a deep learning-based traffic light and sign recognition model and generated a dedicated traffic sign dataset for a closed-loop simulation system. Experienced in working with high-performance computing clusters and managing batch job scripting and Slurm workload management.
Working Student at Robert Bosch GmbH
September 1, 2024 - Present
Provided active learning support for the lane detection model by improving data annotation and quality assurance processes for autonomous driving model training. Collaborated with labelers to optimize the pipeline for image data containing around 2 million frames. Created and refined labeling quality review documents for platforms such as Kognic, Telus, and Deepen AI, reducing systematic labeling errors by 20%.
Cost and Data Analyst at General Electric
August 31, 2023 - September 1, 2025
Led a team for cost data analysis of approximately 7 million supplier parts at GE Healthcare. Demonstrated strong project management and data handling skills through effective task delegation and submitted three Kaizen projects that enhanced operational workflows and cycle times.
Engineering Consultant (Part-Time) at Emuski
August 31, 2023 - September 1, 2025
Proactively collaborated with developers as a requirements engineer to design, develop, and test eight costing functional modules, delivering them two weeks ahead of schedule, significantly streamlining the software.
Engineering Analyst at Advanced Structures India
December 31, 2021 - September 1, 2025
Led reverse engineering and system-level analysis for four top commercial vehicles delivering high-impact technical documentation. Defined the costing module and supported client onboarding as a technical expert, earning recognition from the Managing Director. Worked closely with the software development team to define algorithms and architecture of costing modules as a product owner.
Graduate Apprentice Trainee at Bharat Heavy Electricals Ltd
November 30, 2019 - September 1, 2025
Managed daily production and inventory using SAP ERP, achieving a 50% increase in external order fulfillment through efficient salvage of rejected products.

Education

M.Engg in Automotive Systems at Hochschule Esslingen
January 1, 2023 - September 1, 2025
B Tech in Mechanical Engineering at University of Calicut
January 1, 2014 - January 1, 2018

Qualifications

Add your qualifications or awards here.

Industry Experience

Computers & Electronics, Healthcare, Manufacturing, Transportation & Logistics, Professional Services
    paper Camera-based real-time and localization of vehicles

    Developed and implemented an autonomous driving feature enabling path planning and V2X communication in a 1:14 scale driving environment. Utilized a hall-mounted camera system with computer vision algorithms for vehicle localization and trajectory tracking. Created a track-specific dataset and trained a YOLO-based deep learning model for real-time object detection. Integrated a Kalman filter for object tracking and state estimation, enhancing detection stability and temporal consistency across frames.