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Laser Product Specialist - MOL
MaleProduct Specialist/AssistantLive in GermanyNationality Germany
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Work experience

Laser Product Specialist - MOL

Videojet Technologies
2023.07-Current(2 years)
(1 year 10 months) Innovative and results-driven professional with a unique blend of expertise in software testing and development, poised to take on the role of Customer Technical support. Equipped with a proven track record of ensuring software quality and customer satisfaction, I am adept at handling bug reports from valued clients and meticulously categorizing issues for swift resolution. As a reliable bridge between customers and the software development team, I excel in delivering seamless communication and driving collaborative efforts to provide exceptional solutions. Leading in: Software Support | Print Quality Support | Laser Support | Documentation Responsibilities: • Prioritize and manage escalations to deliver final solutions. • Drive innovation and results by ensuring software quality and customer satisfaction. • Proven track record of efficiently categorizing and resolving client-reported bugs. • Facilitate seamless communication between customers and the development team. • Collaborate to provide exceptional solutions for our valued clients.

Software Developer

ALLTEC Angewandte Laserlicht Technologie GmbH
2021.08-2023.08(2 years)
(2 years 1 month) Software Developer (Image Processing) • Computer vision, video processing, image processing, OpenCV ( Q7, ArchLinux, Raspberry Pi). • Design, implement, and verified an optimized focus point algorithm based on Raspberry Pi. • FPGA SoC+ video processing, image processing, VDMA, DMA, and MIPI interface. • RabbitMQ, PetaLinux, PCIe, inter-chip communication, I2C. • WebTCS design with C++, CSS, and XML. • Create software installation files. (.exe) • Create help documentation. • Software testing. • Software/web services/app/code security. Software Developer: Alltec Foba-Laser R&D department: Computer Vision, Raspberry Pi, Image Processing pipeline, Real-Time Image Processing, Focus check (Single Camera), HDR implementation, Enhance software to integrate with ongoing applications to upgrade their functionality in response to customers’ demands. Software Developer: Alltec Foba-Laser R&D department: design, implement, and fix bugs while adding new futures to existing software for the company using C++, CSS, HTML, and XML, while learning new programming languages, and learning on the fly. Embedded Software Developer : Alltec Foba-Laser R&D department: Xilinx, FPGA Ultrascale+ Q7, inter-chip communication, and real-time image processing and video processing, VHDL, Verilog, Testbench, Simulation, C/C++, Neural Networks, accelerated image processing, Image de-mosaic, 10-bit, 16- bit color depth processing. Software Testing : Alltec Foba-Laser R&D department: Alltec & VideoJet software testing for customer interface and debugging. (responded to an immediate call from other R&D groups forassistance.)

Research Assistant

Fraunhofer SCAI
2020.01-2021.03(a year)
1 year 3 months (1 year 3 months) Germany Deutsch: Augustin Computer Vision, Maschinelles Lernen und Deep Learning (CNN, DNN), Bildverarbeitung und Videoverarbeitung (OpenCV, Pandas, Pillow, Scikit-Learn). English: Image Processing /ML Engineer at SCAI. Research Assistant: Computer Vision researcher in Deep Learning, Image Processing and Video Processing fields. Machine Learning (CNN,DNN), Image Processing(OpenCV, Pandas, Pillow, Scikit-Learn)

Master Thesis Project

Fraunhofer SCAI
2020.07-2021.02(8 months)
Deutsch: -Automatische Oberflächenverfolgung in einem angeregten und wurde geschüttelt Aquarium mit Bildverarbeitung und Deep Learning (Faster R-CNN) mit Tensorflow. English: Automatic surface Edge Tracking in a Shaking Aquarium with image processing and deep learning (Faster R-CNN) based on Tensorflow.

Student

universitat siegen
2017.10-2021.02(3 years)
3 years 5 months (3 years 5 months) Master Thesis: Deutsch: -Automatische Oberflächenverfolgung in einem angeregten und wurde geschüttelt Aquarium mit Bildverarbeitung und Deep Learning (Faster R-CNN) mit Tensorflow. English: Automatic surface Edge Tracking in a Shaking Aquarium with image processing and deep learning (Faster R-CNN) based on Tensorflow.

Embedded Hardwareentwickler

Fraunhofer SCAI
2019.05-2019.12(8 months)
Germany Deutsch: Universität Siegen, Lehrstuhl für Eingebettete Programmierung Implementierung, Simulation und Verifikation von Grundfunktionen des Master OCP(Open Core Protocol). FPGA (Xilinx, VHDL), μController (AVR Studio,Embedded C) Projekte: Implementierung, Simulation und Überprüfung der Grundmodi von Master OCP. English: University of Siegen, Chair for Embedded Programming Implementation, simulation and verification of basic functions of the Master OCP (Open Core Protocol). FPGA (Xilinx, VHDL), μController (AVR Studio,Embedded C) Projects: Implementation, simulation and review of the basic modes of Master OCP.

Mechanical Engineer

Esfahan Steel Company
2015.08-2015.12(5 months)
Automatic Detecting cracks and delamination for rail production by image processing. Automatic Detection of faults in moving components using modal analysis Python Image/Signal Processing developer for material nondestructive testing (NDT) in Isfahan Steel Company

Undergraduate Thesis

Islamic Azad University, Najafabad Branch
2015.06-2015.10(5 months)
Simulating Composite sheets, ABAQUS, applying Image/Signal Processing to detect faults. Feed-Forward, back-propagation, Levenberg-Marquardt, Image recognition. Thesis Title: Simulation and Implementation and Testing, Intelligent fault Detection using ANN/CNN within MATLAB and ABAQUS. (Score: 1.0)

Educational experience

Emam Sadegh high school

Mechatronics, Robotics, and Automation engineering
2017.10-2021.02(3 years)

emma sadegh

Mathematics and Statistics
2011.09-2015.06(4 years)

Certificates

Crucial Conversation Theory of Inventive Problem Solving Advanced Testing Strategies and Techniques Seminar ISTQB® Foundation Level
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