Noushiq Mohammed K A N

Q: Where is Noushiq based?

Noushiq is based in Stuttgart, Germany .

Q: What languages does Noushiq speak?

Noushiq speaks the following languages: English (Native), Malayalam (Native), Hindi (Advanced), Tamil (Advanced), German (Intermediate) .

Q: How many years of experience does Noushiq have?

Noushiq has at least 5 years of experience. During this time, Noushiq has worked in at least 6 different roles and for 5 different companies . The average length of individual experience is 1 year and 11 months . Note that Noushiq may not have shared all experience and actually has more experience.

Q: What is Noushiq's latest experience?

Noushiq's most recent position is Projects at Institute for Intelligent Systems .

Q: What companies has Noushiq worked for in recent years?

In recent years, Noushiq has worked for Institute for Intelligent Systems , Robert Bosch GmbH , General Electric , and Advanced Structures India .

Q: Which industries is Noushiq most experienced in?

Noushiq is most experienced in industries like Automotive and Manufacturing .

Q: Which business areas is Noushiq most experienced in?

Noushiq is most experienced in business areas like Product Development , Research and Development , and Business Intelligence . Noushiq also has some experience in Procurement , Project Management , and Operations .

Q: What is Noushiq's education?

Noushiq holds a Master in Automotive Systems from Hochschule Esslingen and a Bachelor in Mechanical Engineering from University of Calicut .

Q: What is the availability of Noushiq?

Noushiq is immediately available full-time for suitable projects.

Recommended expert

Stuttgart, Germany

Experience

Sep 2025 - Present

7 months

Projects

Institute for Intelligent Systems

Evaluation and analysis of camera-based traffic light and sign recognition system on various LLM-based autonomous driving systems (LMDrive, BEVDriver)
Implemented VLM based traffic notice instruction generation unit for closed-loop autonomous driving system which alerts driver in unforeseen driving incidents
Developed independent LLM-based local chatbot with Llama, DeepSeek and Qwen including MLflow evaluation framework

Mar 2025 - Aug 2025

6 months

Master Thesis

Institute for Intelligent Systems

Designed and implemented a method to integrate traffic light and sign ground truth data from CARLA through python API, which reduced the related driving infractions by 23%
Developed a perception stack with deep learning-based traffic light and sign recognition model which leads to relative driving performance improvement of 14%
Estimated accurate evaluation of traffic light detection model by k-fold cross-validation training method and generated a dedicated traffic sign dataset for closed loop simulation system (CARLA) containing 4.3k+ images
Experience in working with high-performance computing clusters (Accessing virtual machines with SSH, Batch job scripting and Slurm workload management)
Major activities: Architecture development (Python), dataset preparation, Dataset annotation and augmentation, model training, experiment tracking and metrics evaluation
Skills: Python, PyTorch, OpenCV, YOLO, RT-DETR, Hugging Face, scikit-learn, pandas, Git, Docker, shell scripting (CLI)

Sep 2024 - Aug 2025

1 year

Working Student

Robert Bosch GmbH

Provided active learning support for the lane detection deep learning model by revamping data annotation and quality assurance processes for the application of level 3 and level 4 autonomous driving
By collaborating with the labellers, improved the pipeline for image data, which included around 2 million frames
Created, configured, and managed the labelling quality review document in Confluence for platforms like Kognic, Telus, and Deepen AI, which drastically reduced systematic labelling errors by 20%

Jan 2022 - Aug 2023

1 year 8 months

Cost and Data Analyst

General Electric

Led a team for cost data analysis of approximately 7 million supplier products with 200+ modalities, demonstrating strong project management, data engineering and analyzing skills through effective task delegation
Automated large-scale data preprocessing using pandas and NumPy, integrating supplier and inflation data from multiple sources, resulting in 65% faster analysis turnaround
Built and deployed ML-driven forecasting models using Scikit-learn, reducing cost planning uncertainty and enabling procurement teams to anticipate inflation-based cost hikes
Applied Random Forest and regression analysis to identify top material cost drivers, influencing data-backed supplier negotiation strategies that saved 6% of operational expenditure
Integrated machine learning outputs with Power BI and later to Smartsheet, enabling real-time visualization of cost predictions and inflation trends for management-level insights
Deployed 3 Kaizen projects that enhanced operational workflows and cycle times in cost data analysis and forecasting

Nov 2020 - Dec 2021

1 year 2 months

Engineering Analyst

Advanced Structures India

Led reverse engineering and system-level analysis for four top commercial vehicles, delivering high-impact technical documentation and provided 20+ impactful benchmarking ideas worth reduction of 8% in annual production cost
Defined the costing module and supported client onboarding, earning recognition from the Managing Director for exceptional adaptability and timely delivery
Collaborated with software developers to design, develop, and test 8 costing functional modules that were delivered two weeks ahead of schedule, significantly streamlining the software

Nov 2018 - Nov 2019

1 year 1 month

Graduate Apprentice Trainee

Bharat Heavy Electricals Ltd

Managed daily production and inventory using SAP ERP, achieving a 5% increase in external order fulfilment through efficient salvage of rejected products

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Automotive and Manufacturing.

Automotive

Manufacturing

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Product Development, Research and Development, Business Intelligence, Procurement, Project Management, and Quality Assurance.

Product Development

Research and Development

Business Intelligence

Procurement

Project Management

Quality Assurance

Summary

Versatile, analytical, and impact-driven engineering professional with 3+ years of experience in AI/ML and autonomous driving technologies. Possesses a strong expertise in computer vision, deep learning, data engineering and HPC platforms through hands-on projects. Currently advancing cutting-edge mobility solutions through a master’s program focused on AI integration in automated driving.

Skills

Programming Languages: Python, Matlab, C++ (Modern), Cli Scripting (Bash, Powershell).
Ai/ml & Gen Ai: Langchain, Ollama, Llms (Llama, Qwen, Deepseek), Pytorch, Tensorflow, Scikit-learn, Mlflow, Pandas, Numpy, Matplotlib.
Computer Vision: Opencv, Matlab Cv Toolbox, Ultralytics, Rt-detr, Vlms (Llava, Qwen, Gemini, Moondream), Ros.
Project Management: Agile Methodologies (Scrum, Kanban), Resource Management Training, International Negotiation, Stakeholder Engagement, Requirements Engineering, Client Delivery And Relationship Management.
Simulation And System Design: Matlab Simulink, Matlab Simscape, Matlab System Composer.
General Tools: Git (Version Control), Docker (Containerization), Streamlit, Google Colab, Sql, Jira, Confluence, Miro, Smartsheet, Power Bi, Ms Office, Sap Erp.

Languages

English

Native

Malayalam

Native

Hindi

Advanced

Tamil

Advanced

German

Intermediate

Education

Aug 2023 - Oct 2025

Hochschule Esslingen

M.Engg in Automotive Systems · Automotive Systems · Esslingen, Germany

Jul 2014 - Apr 2018

University of Calicut

B Tech in Mechanical Engg · Mechanical Engineering · Kozhikode, India

Statistics

Experience

Total positions 6

Experience in Automotive 2.5 y

Avg length 11 m

Longest experience 1 y 7 m

Expertise

Recent roles Projects, Master Thesis, Working Student

Main industries Automotive, Manufacturing

Main business areas Product Development, Research and Development, Business Intelligence

Qualifications

Highest degree Master

Profile

Created

October 2025

Last Update

November 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Noushiq based?

Noushiq is based in Stuttgart, Germany.

What languages does Noushiq speak?

Noushiq speaks the following languages: English (Native), Malayalam (Native), Hindi (Advanced), Tamil (Advanced), German (Intermediate).

How many years of experience does Noushiq have?

Noushiq has at least 5 years of experience. During this time, Noushiq has worked in at least 6 different roles and for 5 different companies. The average length of individual experience is 1 year and 11 months. Note that Noushiq may not have shared all experience and actually has more experience.

What roles would Noushiq be best suited for?

Based on recent experience, Noushiq would be well-suited for roles such as: Projects, Master Thesis, Working Student.

What is Noushiq's latest experience?

Noushiq's most recent position is Projects at Institute for Intelligent Systems.

What companies has Noushiq worked for in recent years?

In recent years, Noushiq has worked for Institute for Intelligent Systems, Robert Bosch GmbH, General Electric, and Advanced Structures India.

Which industries is Noushiq most experienced in?

Noushiq is most experienced in industries like Automotive and Manufacturing.

Which business areas is Noushiq most experienced in?

Noushiq is most experienced in business areas like Product Development, Research and Development, and Business Intelligence. Noushiq also has some experience in Procurement, Project Management, and Operations.

What is Noushiq's education?

Noushiq holds a Master in Automotive Systems from Hochschule Esslingen and a Bachelor in Mechanical Engineering from University of Calicut.

What is the availability of Noushiq?

Noushiq is immediately available full-time for suitable projects.

What is the rate of Noushiq?

Noushiq's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.