Experienced in retrieval AI techniques through an internship at BMW Group, currently working on a thesis in solution spaces for vehicle design using AI/ML and training deep learning models. Additionally skilled in software development, advanced FEM, and 3D modeling.
Hi, I’m
Zahid Pathan
Munich
Summary
Overview
1
year of professional experience
6
years of post-secondary education
2
Languages
Work History
BMW Group
Master Thesis
11.2024 - Current
Job overview
- Developing a methodology to implement solution spaces, an important concept used in early phases of vehicle design, by utilizing AI regression models, replacing traditional approaches
- Implementing a convolutional encoder-decoder network to predict the B-pillar acceleration time series in a full-frontal crash test
BMW Group
Intern
04.2024 - 09.2024
Job overview
- Developed an AI-driven Retrieval-Augmented Generation (RAG) chatbot with a user-friendly interface, utilizing large language models (LLMs) and CUDA-accelerated vector embeddings to deliver accurate responses for user queries on over 200 BMW internal modeling guideline documents
- Benchmarked retrieval techniques, evaluating various architectures and configurations to achieve a 90% accuracy rate, significantly improving response reliability and user experience
- Collaborated with service partners to optimize the crash management system model in ANSA, incorporating a semiautomated workflow to boost efficiency. Applied machine learning techniques to analyze vehicle crash components
Atlas Copco
Working Student
06.2023 - 02.2024
Job overview
- Analyzed and extended results of an ICP algorithm to assist bolt position detection, by extracting data from point clouds
- Classified the position and orientation of a 3D scanned bolt with an precision threshold of 0.5mm, using inlier ratio as the key metric for determining correct alignment
- Designed libraries to integrate a TOF camera into the software and trained deep neural network (DNNs) models for object detection and positioning to assist manufacturing processes
Education
Technical University Munich (TUM)Munich, Germany
Master of Science from Computational Mechanics
10.2022 - Current
University Overview
- Specializations: AI in CoMe, Advanced FEM, Car Body Design and Safety Failure Mechanics
- 1.8 GPA
Indian Institute of Technology (IIT)Dharwad, Karnataka
Bachelor of Technology from Mechanical Engineering
08.2018 - 07.2022
University Overview
- Silver Medalist - for achieving the highest GPA
- GPA: 1.3
Skills
Programming Languages & Frameworks: Python, C/C, PyTorch, TensorFlow, Keras, LangChain, Gradio, NLP, Training and Fine-tuning LLMs, Git, HuggingFace, OpenCV, OpenMP, Docker, Matlab, CMake, Jira
Projects
Projects
Prediction of additive manufacturing process using DNNs
- Developed a feed-forward neural network using TensorFlow and Keras to predict layer width and failure points in 3D printed clay, leveraging deep learning techniques and achieving an 82% accuracy rate
- Implemented an end-to-end MLOps pipeline to streamline data preprocessing, hyperparameter tuning, and model optimization, aligning with state-of-the-art techniques for robust iteration
- Utilized custom loss functions and created evaluation frameworks to monitor prediction accuracy, enabling quality improvements, which reduced material waste and enhanced print stability
Timeline
Master Thesis
BMW Group
11.2024 - Current
Intern
BMW Group
04.2024 - 09.2024
Working Student
Atlas Copco
06.2023 - 02.2024
Technical University Munich (TUM)
Master of Science from Computational Mechanics
10.2022 - Current
Indian Institute of Technology (IIT)
Bachelor of Technology from Mechanical Engineering
08.2018 - 07.2022
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