Swathy Ramakrishnan

Bis 2020, Student Research Assistant, Max Planck Institute for Nuclear Physics
Karlsruhe, Germany

Fähigkeiten und Kenntnisse

MatLab
C (programming language)
C++
Kicad
LTSpice
MS Office
LabVIEW
Python
ROOT
Soldering
Communication skills
independent
well-organized
Analytical thinking

Werdegang

Berufserfahrung von Swathy Ramakrishnan

  • 7 months, Jan 2020 - Jul 2020

    Student Research Assistant

    Max Planck Institute for Nuclear Physics

Ausbildung von Swathy Ramakrishnan

  • 1 year and 8 months, Mar 2019 - Oct 2020

    Sensor System Technology

    Hochschule Karlsruhe - Technik und Wirtschaft

    Completed the course from Hochschule Karlsruhe as the part of a dual degree program. Thesis: Board Design for Citizen Science Cosmic Ray Muon Detector • Development printed circuit board for a Cosmic Ray Muon Detector using KiCAD and circuit simulation done using LTSpice. • Focuses on the design of two low-cost PCBs with a low-noise amplifier that is able to read out up to 50 diodes in parallel, with the components both machine and hand soldered.

  • 2 years and 3 months, Aug 2018 - Oct 2020

    Sensor System Technology

    Vellore Institute of Technology (VIT)

    Projects: 1. Thin-Film Based Sensor For Formalin Detection • substrates : glass and Kapton (deposited by RF sputtering) • Electrode: Aluminium (deposited via thermal evaporation) • Characterization-:(XRD). 2. Design for Wearable Blood Pressure Measurement Device • Implemented an algorithm in LabView to obtain Blood Pressure using ECG signals (extracted using AD8232HRM) and PPG signals (extracted using Pulse Oximeter) enabling Cuff-less, continuous monitoring of BP and Heart Rate in real-time.

  • 3 years and 10 months, Aug 2013 - May 2017

    Electronics and Communication Engineering

    Mahatma Gandhi University

    Project: 1. Android Based Women Safety System • Developed a device to ensure women safety. • Uses voice recognition and a manual button to send an alert signal along with the location and an image. • interfaced various sensors like ADXL, GPS, GSM, camera and an electroshock device to a handheld device and developed an android application using Java.

Sprachen

  • English

    C1 (Fließend)

  • German

    A1-A2 (Grundkenntnisse)

  • Malayalam

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