Ing. Sasha Philip Varghese Mullaseril

Graduated 🎓.

Angestellt, Digital signal processing engineer | Embedded C engineer, Universität zu Köln
Köln, Germany

Fähigkeiten und Kenntnisse

Python-Programmierung
Data Analysis
Hardware description languages
Digital Communications
C
Deep learning
Embedded Systems
VHDL Programmierung
PyQt
Git
inquisitive
Technical Documentation
UDP
I2C
Microcontroller programming
Mikrocontroller
Electronics

Werdegang

Berufserfahrung von Sasha Philip Varghese Mullaseril

  • Current 5 years and 2 months, since Apr 2021

    Digital signal processing engineer | Embedded C engineer

    Universität zu Köln

    - Program the microcontrollers of different components of CHAI reciever of FYST telescope. - Bridge between the Spectrometer lab at Max-planck institute for radioastronomy and reciever design lab at Uni Köln. - Graphical interface designing for User Experience for all the firmwares for remote controlling of the various components in the lab. - Key skills: Embedded-C, AVR-microcontrollers, FPGA-VHDL , python, PyQT, Claude coding,

  • 2 years and 1 month, May 2018 - May 2020

    Computer vision Work Student

    Continental AG

    Computer Vision ADAS Scenario creation for driving cases using Unreal engine 4 Simulation of driving cases for lane detection using software Deep-Drive Data analysis and extraction from Mongodb database using python and pymongo library Labeling of scenes based on driver responses for emergency brake assistance. Validation of High-Flash-Lidar data segmentation on TIDL(Texas instruments deeplearn- ing) standalone network

Ausbildung von Sasha Philip Varghese Mullaseril

  • 3 years and 3 months, Apr 2017 - Jun 2020

    Communcations Technology

    Universität Ulm

    Thesis: Multiclass Classification of radar pointcloud data using adapted Radar-Pointnet. Background: Applied Information theory, Digital Communication, Microwave communications systems, Integrated Analog circuits, Nanometer-scaled CMOS technology

Sprachen

  • English

    C1 (Fließend)

  • German

    B1-B2 (Gute Kenntnisse)

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