Raksha Shet - Working Student – Industrial Foundation Model

Recommended expert

Erlangen, Germany

Experience

Mar 2025 - Present

11 months

Munich, Germany

Working Student – Industrial Foundation Model

Siemens AG

Design and implement an end-to-end Siemens NX based pipeline to convert OBJ CAD models into graph representations by applying AI-driven clustering of mesh faces into nodes and face adjacency for edges, streamlining GNN integration
Generate a large-scale synthetic 3D CAD dataset, annotating parts with few MFCAD-style features to ensure balanced, diverse training data for GNN workflows
Support the design, training, and evaluation of graph neural network architectures for AI-driven detection and classification of geometric features in 3D CAD shapes, accelerating feature-recognition workflows

Jan 2025 - Jul 2025

7 months

Master Thesis

Siemens AG

Explored large vision language models for interpretable anomaly detection in industrial environments by working with state-of-the-art methods on MVTec AD and proprietary industrial datasets
Implemented semi-automatic labelling workflows using UNET, SSD, and Mask R-CNN, enhancing dataset preparation efficiency
Developed a multimodal VQA dataset and end-to-end explainable pipeline for human-readable defect diagnosis and localization
Fine-tuned LVLM modules via parameter-efficient adapters on diverse data setups and prompting schemes, enhancing defect interpretation and detection robustness

Apr 2024 - Oct 2024

7 months

Pose Estimation for River Wave Surfing

MaD Lab, FAU Erlangen

Worked on a multi-view 3D pose estimation system using computer vision and machine learning to analyse surfer movements, aiding biomechanical research and surfing safety through advanced joint angle analysis
Validated system accuracy through practical lab studies against optical motion capture, enabling detailed analysis of joint angles and movement dynamics

Nov 2023 - Apr 2024

6 months

Shape Sensing of Concentric Tube Robots using Markerless Triscopic Vision

SPARC Lab, FAU Erlangen

Refactored the codebase for the robotic system, reducing clutter and improving process efficiency
Implemented advanced image masking techniques to filter out unwanted regions, and assisted in GUI development
Optimized Raspberry Pi configurations to achieve better performance in system operations

Feb 2023 - Feb 2025

2 years 1 month

Erlangen, Germany

Working Student – AI Projects

Siemens AG

Supported the Industrial AI Deployment Team in driving Industrial Edge AI technologies to deploy projects, collaborating to design and implement solutions
Contributed to the development and optimization of machine learning pipelines and management of SIMATIC IPCs for showroom demos, workshops, trade fairs, and customer presentations to achieve project goals and foster partnerships
Managed documentation processes by creating and maintaining detailed guides for application installations and project demos, ensuring efficient project execution and customer training

Jan 2021 - Mar 2022

1 year 3 months

India

Teaching Assistant, Intern – AI with Python

SKILLiGENCE EdTech

Facilitated training sessions and crafted coding challenges, ensuring seamless learning while supporting mentor research initiatives
Gained proficiency in ML and AI through theoretical coursework and practical projects

Jun 2020 - Sep 2020

4 months

Employee Performance Prediction

Collaborated on a performance prediction system, which analysed various mental and physical factors to forecast productivity, and assisted in interface development and app integration

Jun 2020 - Sep 2020

4 months

India

Intern – Artificial Intelligence

AthrV-Ed Tech

Conducted comprehensive research to identify and implement predictive models for various applications
Developed and implemented algorithms to analyse factors influencing employee efficiency, with the goal of predicting future performance trends within the organization

Aug 2018 - Apr 2019

9 months

India

Intern – Internet of Things

Fiabilite Network Solutions Pvt. Ltd.

Enhanced practical skills in sensor technology by integrating sensors with Arduino and Raspberry Pi in a high-impact undergraduate capstone project recognized as a prototype for Smart City development for Bengaluru, earning an 'A' grade for the internship
Implemented an IoT-based smart traffic system using RFID technology to prioritize ambulance routes and transmit patient vitals to nearby hospitals in real-time, optimizing emergency response in smart cities

Skills

Frameworks/libraries: Pytorch, Keras, Tensorflow, Nltk, Open3d, Networkx, Numpy, Pandas, Matplotlib, Scikit-learn
Programming Languages: Python, C++, Mysql
Concepts: Large Vision Language Models, Large Language Models, Natural Language Processing, Graph Neural Networks, Generative Ai, Computer Vision, Time Series, 3d Printing
Tools: Siemens Nx, Microsoft Office, Microsoft Power Bi, Tableau, Latex, Ibm Watson, Cvat, Tinkercad
Soft Skills: Public Speaking, Problem-solving, Collaborator, Cultural Sensitivity, Critical Thinking, Reliability