Arun kumar Abhimanyu

Angestellt, Laser systems engineer, TOMRA Recycling

München, Deutschland

Fähigkeiten und Kenntnisse

Laser physics
Python-Programmierung
Optical Design
Zemax

Werdegang

Berufserfahrung von Arun kumar Abhimanyu

  • Bis heute 1 Jahr und 11 Monate, seit Aug. 2022

    Laser systems engineer

    TOMRA Recycling

    1. Development, Continuous improvement, and maintenance of the optical components of the Tomra Laser-induced breakdown/Plasma spectroscopy (LIBS) sensors. This includes commercial/in-house developed pulse lasers, spectrometers, scanning systems, optical insulators and filters, test jigs for the mentioned parts, and software. 2. In addition, the development and maintenance of scanning spectroscopic sensors and their Opto-electronic components. This comprises designing and implementing optical experiments.

  • 4 Jahre, Aug. 2018 - Juli 2022

    Laser Engineer

    InnoLas Laser GmbH

    1. Exploring new technologies and developing new ns pulsed OPO prototypes, Q-switched ns solid-state laser systems in the UV and IR spectrum for medical applications, research, and industry. 2. Characterization, optimization, Production support, and service operations of Q-switched DPSS lasers, Lamp-pumped high power solid-state lasers, and OPO's. 3. Tutored and mentored newly joined field service/production engineers to align pulsed(ns) high power low rep-rate solid-state lasers.

  • 6 Monate, Juni 2017 - Nov. 2017

    Research Intern

    IMS Laboratory

    Title of research: "Study of polymer-based Optical Nanostructures for Bio-sensing Application in visible spectrum"

Ausbildung von Arun kumar Abhimanyu

  • 2 Jahre und 4 Monate, Okt. 2015 - Jan. 2018

    Photonik

    Hochschule Aalen

    Quantum optics, Non-linear optics, Advanced Image processing, optical design, optics technology, Interferometry.

  • 2 Jahre und 10 Monate, Aug. 2012 - Mai 2015

    Electronics Engineering

    Dayananda Sagar College of Engineering

    Control Systems, Digital Signal Processing, Microcontrollers, Microprocessors, VLSI, Wireless Communications, GSM, Network Analyses, Analog Electronics Circuits, Linear IC's.

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

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