class Introduction:
def Bio(self):
name = "Thribhuvan Gupta S"
role = "Research Associate @ Philips Research"
hometown = ("Ballari", "Karnataka", "India")
skills = {'Programming Languages':['C','C++','Python','HTML', 'CSS','SQL','Java', 'JavaScript', 'TypeScript'],
'Frameworks & Libraries': ['OpenCV', 'CUDA', 'TensorRT', 'OpenVINO', 'Django', 'Django-Rest-Framework',
'Angular', 'Qt', 'PyQt', 'Firebase', 'NodeJS', 'ExpressJS']}
internships_exp = ['Research Intern','Web Development Intern']
class Meta:
hobbies = ['Origami','Reading Tech articles','PC Building','Photography','Cooking', 'Swimming', 'Gaming']
I am highly enthusiastic towards Deep Learning and Linux π, massive fan of high computation power π and multi-processing extravaganza π!
I love C/C++ programming for it's remarkable control over the system πͺ (and also the amazing execution speeds π ) and always rely on Python π for rapid research and proto-typing π₯.
- Deep Learning using Tensorflow and Keras
- Api development using Django-Rest-Framework (with some swagger for swag:sunglasses:)
- Computer Vision using OpenCV and custom functions
- Scikit-learn and Scikit-Image for Data Analysis
- Pyclustering and Scikit-learn for rapid testing
- Server deployment using Amazon EC2 and CI/CD using CodePipeline
- Version control and team management using GitHubFlow & GitFlow
- Real-time video processing using CUDA
- Web development using Angular and NodeJs
- TensorRT for faster inference in C++
Won first prize in OnLoad 2.0 a 36-hour hackathon held at VVCE, Mysore along with my teammates @kalpanmukherjee (our ML Expert) and @irajeshegde (Our man at the Front-End)
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