Ashish Kumar
ashishkumar30
Technical Lead | Generative AI | Ex @Tower Research Capital | Ex @AbinBev | Open Source Contributor | Backend & ML Specialist
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The apex of my CSE tenure at UIET Kurukshetra University in 2018, This project focuses on Zerodha, involving live online trading in the NSE-BSE with real money, utilizing Artificial Intelligence techniques. The project employs Python programming, incorporating live trading bots, indicator screeners, and back testers through REST API and websockets.
Python various Important codes, Machine learning, NLP using Spacy and NLTK with Neural Network in ML
UpGrad - Daily Python assignments submited to github (2018)
It is a modern open source high performance Remote Procedure Call framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking and authentication. It is also applicable in last mile of distributed computing to connect devices, mobile applications and browsers to backend services.
Web Applications on Django, creating REST API's with Django a Framewrk of python using html css bootstrap etc. integrated with Machine Learning , Natural language Processing in backend.
UpGrad -Assignment Desktop application using python-tkinter (managment system & game) .Python with tkinter outputs the fastest and easiest way to create the GUI applications
Repositories
13The apex of my CSE tenure at UIET Kurukshetra University in 2018, This project focuses on Zerodha, involving live online trading in the NSE-BSE with real money, utilizing Artificial Intelligence techniques. The project employs Python programming, incorporating live trading bots, indicator screeners, and back testers through REST API and websockets.
It is a modern open source high performance Remote Procedure Call framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking and authentication. It is also applicable in last mile of distributed computing to connect devices, mobile applications and browsers to backend services.
Python various Important codes, Machine learning, NLP using Spacy and NLTK with Neural Network in ML
UpGrad - Daily Python assignments submited to github (2018)
A complete CRUD application using Django ORM, following Python standards and PEP-8 guidelines. It implements Create, Read, Update, and Delete operations with seamless database interactions. Designed for simplicity, it provides a step-by-step approach to setting up an ORM, storing, retrieving, and managing data efficiently in a Django backend.
UpGrad -Assignment Desktop application using python-tkinter (managment system & game) .Python with tkinter outputs the fastest and easiest way to create the GUI applications
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Web Applications on Django, creating REST API's with Django a Framewrk of python using html css bootstrap etc. integrated with Machine Learning , Natural language Processing in backend.
Sample code from the book Data Structures and Algorithms in Python
UpGrad - Daily Machine Learning assignments submited to github (2018)
Built an interface for minting your own crypto collectibles that meet the ERC-721 standard for non-fungible tokens.
This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.