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50 lines (50 loc) · 3.38 KB
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[
{
"company": "Motius GmbH",
"company_location": "München, Germany",
"role": "Tech Specialist: Communications Engineer",
"team": "FunKI: Artificial Intelligence for the New Mobile Network",
"time_duration": " 2022 - Present",
"details": [{
"title": "Channel Estimation and Machine Learning",
"description": "Implemented Least-squares and Minimum Mean-squared error and other various Channel estimation techniques for Wireless access in Vehicular environments using Tensoflow and Pytorch. Used GPU for batched algorithm implementation and parallel code execution.",
"languages": "Python MATLAB"
}
]
},
{
"company": "Fraunhofer Institute for Integrated Circuits IIS",
"company_location": "Nürnberg, Germany",
"role": "Research Assistant",
"team": "Positioning and Networks",
"time_duration": " 2019 - 2022",
"details": [{
"title": "Smart Sensing and Analytics",
"description": "MSc. Internship, built a Scikit-Learn and TensorFlow based Machine-Learning pipeline for classification of LOS/NLOS 5G and GNSS signal to further enhance positioning algorithm accuracy. Created Jupyter notebooks for ML-pipeline and documented data preprocessing. Performed ANOVA testing and PCA for feature selection. Migrated code for Kalman filter from MATLAB into python and ran unit-tests to verify and debug code execution.",
"languages": " Python MATLAB SketchUp Oktal-SE SE-NAV"
},
{
"title": "Sensor Fusion and Localization",
"description": "Designed a new Positioning Referece Signal for 5G (3GPP Release 16) and compared the positioning accuracy of state of the art with LTE-based OTDOA multilateration. Implemented a MATLAB simulation using a statistical Channel modeland Ray-tracing model of Indoor Office environment.Added PRS module to the company codebase using CI/CD pipeline. Built a GUI to visualize real-time TDOA simulation with mobile base stations.",
"languages": "Matlab C++ SketchUp"
},
{
"title": "Smart Sensing and Analytics",
"description": "Assisted a team in developing a testbed for 5G - New Radio signalling. Preprocessed Bayern state survey data to generate a 3D model of the city for channel modelling. Executed moving and coverage simulations for 5G and GNSS networks. Performed remote-controlled tests using Sim-Gen via python scripts over TCP/IP for GNSS and 5G hybrid positioning.",
"languages": " Python MATLAB SketchUp Blender Spirent SimGEN Oktal-SE SE-NAV"
}
]
},
{
"company": "Jacobs University Bremen",
"company_location": "Bremen, Germany",
"role": "Student Assistant",
"team": "Cognitive Science Lab - Prof. Dr. Adele Diedrich",
"time_duration": "Apr 2019 - May 2019",
"details": [{
"title": "Monte-Carlo Simulations",
"description": "Developed and debugged a series of Monte-Carlo simulations in MATLAB for psychology experiments: MAAS model and Multi-stage sequential sampling models with finite or infinite horizon and variable boundaries. Implemented tests to verify the correct logic of developed simulations.",
"languages": "MATLAB"
}]
}
]