Noushiq (K a n) M.

Research Projects

Reichenbach an der Fils, Germany

Experience

Sep 2025 - Present
2 months

Research 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

  • Advancing Multi-Modal Perception for LLM-based End-to-End Autonomous Driving.

  • 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 analysing 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, which significantly streamlined 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.
Jul 2014 - Apr 2018
3 years 10 months

B Tech in Mechanical Engineering

University of Calicut

  • Awarded the 'Best Make in India Safety Award' for developing an innovative mechatronic technology that reduces locomotive derailment casualties through a unique three-stage process of sensing, braking, and detaching.

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.

Languages

English
Native
Malayalam
Native
German
Intermediate
Hindi
Intermediate
Tamil
Intermediate

Education

Aug 2023 - Oct 2025

Hochschule Esslingen

M.Engg, Automotive Systems · Automotive Systems · Germany

Jul 2014 - Apr 2018

University of Calicut

B Tech · Mechanical Engineering · India

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