Raksha S.
Working Student – Industrial Foundation Model
Experience
Mar 2025 - Present
8 monthsMunich, Germany
Working Student – Industrial Foundation Model
Siemens AG – Foundational Technologies
- 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 monthsMaster Thesis – Anomaly Detection of Industrial Products using LVLMs
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 monthsErlangen, Germany
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 monthsErlangen, Germany
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 monthErlangen, Germany
Working Student – AI Projects
Siemens AG – Digital Industries
- 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 monthsIndia
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 monthsEmployee 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 monthsIndia
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 monthsIndia
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
Languages
English
AdvancedHindi
IntermediateArabic
ElementaryGerman
ElementaryEducation
Oct 2021 - Present
Friedrich-Alexander-Universität
Master of Science, Minor: Business Studies · Artificial Intelligence · Germany
Aug 2015 - May 2019
Visvesvaraya Technological University
Bachelor of Engineering · Electronics & Communication · India · 1.5
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