thribhuvanguptas / python-ml-cheatsheet

Hey! 👋 Here's a Brief Introduction about me! 😄

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 😄, massive fan of high computation power 😋 and multi-processing extravaganza 😁!

I love C/C++ programming for it's remarkable control over the system 💪 (and also the amazing execution speeds 😍 ) and always rely on Python 🐍 for rapid research and proto-typing 🔥.

• 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)

Connect to Me Via