
Akshatha Pai
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Akshatha Pai
- 6 Monate, Sep. 2025 - Feb. 2026
Working Student
STIHL
• Automated repetitive reporting tasks by developing 15 VBA macros, reducing manual effort by 20% • Created a custom export template in PTC RV&S covering 72 attributes, streamlining data consistency and reducing reporting errors
- 4 Monate, Mai 2025 - Aug. 2025
Working Student - Avionics Systems Modelling
University of Stuttgart
• Extended OAAM meta-model using EMF, integrating 5 requirement types with dedicated metamodel constructs to enable model-based requirements evaluation • Benchmarked 30 requirements storage approaches, comparing SysML capabilities and limitations to define the architecture for an OAAM extension
- 1 Jahr und 6 Monate, Feb. 2024 - Juli 2025
Working Student - Requirements Engineering
Bosch
• Produced SysML models for 7th Gen Radar systems in ADAS using Sparx Enterprise Architect • Resolved inconsistencies across 9 cross-functional modules using DOORS traceability and Enterprise Architect based system modeling • Modeled 7th Gen Radar system behavior, synchronization, and event sequencing using timing diagrams in Enterprise Architect • Coordinated cross-functional collaboration for 15 stakeholder discussions and technical reviews
- 1 Jahr und 3 Monate, Aug. 2022 - Okt. 2023
Senior System Engineer (MBSE)
Jaguar Land Rover
• Translated functional requirements into system architecture models for 2 body domain features using MATLAB/Simulink • Managed 500 system requirements and traceability links in TRM, ensuring consistency and compliance across JLR body domain features • Delivered system design for 40 features using IBM Rhapsody, DOORS, and CATIA Magic, ensuring full model-based systems engineering (MBSE) compliance across the V-cycle
- 3 Jahre und 10 Monate, Okt. 2018 - Juli 2022
Systems Engineer (MBSE)
Tata Elxsi
• Built SysML-based logical architecture and interface models across 6 ADAS features • Specified and analyzed 15 systems requirements in DOORS using EARS guidelines, ensuring clarity and consistency • Collaborated with stakeholders to review and refine system requirements and architecture for more than 20 ADAS features • Developed allocation models linking logical functions to 150 physical components using IBM Rhapsody, enabling full system traceability • Managed version control for 200 features across the
- 7 Monate, März 2018 - Sep. 2018
Development Engineer
Tata Elxsi
• Constructed an Adaptive AUTOSAR software prototype using C++14 and Yocto build system, contributing to embedded platform validation • Implemented Radar-Lidar sensor fusion software in C++14 for object detection with fail-over capability
Ausbildung von Akshatha Pai
- 2 Jahre und 7 Monate, Okt. 2023 - Apr. 2026
Master's degree
University of Stuttgart
Specialization in Smart Systems Master Thesis, University of Stuttgart, Stuttgart Institute for High Frequency Technology --------------------------------------------------------------------------------------------------------- • Topic: Design and development of dual mode dielectric resonator ante
- 3 Jahre und 10 Monate, Aug. 2013 - Mai 2017
Bachelor of Technology (B.Tech.)
COCHIN UNIVERSITY OF SCIENCE & TECHNOLOGY
• Mini Project: Power Hump: This project emphasis’s on the idea that the kinetic energy getting wasted while vehicles move can be utilized to generate power by using a special arrangement called power hump • Main Project: A Self-Powering Wireless Environment Monitoring System Using Soil Energy: T
Sprachen
Deutsch
B1-B2 (Gute Kenntnisse)
Englisch
C1 (Fließend)
Hindi
C2 (Verhandlungssicher / Muttersprachlich)
Malayalam
C2 (Verhandlungssicher / Muttersprachlich)
XING Mitglieder mit ähnlichen Profilangaben
XING – Das Jobs-Netzwerk
Über eine Million Jobs
Entdecke mit XING genau den Job, der wirklich zu Dir passt.
Persönliche Job-Angebote
Lass Dich finden von Arbeitgebern und über 20.000 Recruiter·innen.
21 Mio. Mitglieder
Knüpf neue Kontakte und erhalte Impulse für ein besseres Job-Leben.
Kostenlos profitieren
Schon als Basis-Mitglied kannst Du Deine Job-Suche deutlich optimieren.
