
Praise Thampi
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Praise Thampi
- 5 Monate, Okt. 2020 - Feb. 2021
Thesis Student
RWTH Aachen University
Topic : Exploring capabilities of CNNs in spatially small region segmentation
- 1 Jahr und 1 Monat, Juni 2019 - Juni 2020
Student Assistant
Klinik für Diagnostische und Interventionelle Radiologie, RWTH Aachen
Collaborated with Radiology department, Uniklinik focusing majorly in medical image processing techniques. Assisted the team in statistical analysis, data visualization and assessment of knees from their CT scanned images. Got acquainted with Python libraries like Numpy, Matplotlib, Pandas, SimpleITK etc. as well as various data formats of MRI scans like DICOMs, Nifti. Familiar with machine learning frameworks like PyTorch to materialize assigned tasks such as image segmentation etc.
Front-end designer of customer chat application employed by several LOB at Oracle as a service tool for their potential customers. Worked on UX and UI designs for technical feasibility in the support renewal portal of Oracle customers impacting a higher customer satisfaction. Worked in agile framework honing skills in developing UI pages and server scripting in time constrained environment, gaining expertise in javaScript, jQuery, CSS etc
- 3 Monate, Mai 2015 - Juli 2015
Student Intern
Samsung R&D
Worked on motion de-blurring algorithm which is improvised through a hybrid camera design. Computed the optical flow from the set of low exposure images and estimated the initial kernel,followed by an iterative optimization framework with minimization steps applied on the blurred image and the kernel.
Ausbildung von Praise Thampi
- Bis heute 6 Jahre und 10 Monate, seit Sep. 2018
Computer Engineering
RWTH Aachen University
Machine Learning, Digital Image Processing, Artificial Intelligence, Embedded systems, Computer Arithmetic, Virtual Reality, Special-purpose Operating Systems, Machine learning for Speech and Audio Processing, Basic techniques in Computer Graphics
- 2012 - 2016
Electronics and Communication Engineering
National Institute of Technology, Tiruchirappalli
Digital Circuits and Systems, Digital Electronics Laboratory, Control Systems, Microprocessors and Micro-controllers, Digital Signal Processors and Applications, Advanced Microprocessors, VLSI Systems, Data Structures and Algorithms, Operating Systems
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
Malayalam
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