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irdanish11 irdanish11 Gmail

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Developer Story

I am 25 years of age and I am living in Islamabad since 2015 and this is where I completed my higher studies. I did my Bachelors in Electronics from COMSATS Islamabad. I have always been passionate about Computer Science and Programming and during this program I realized how passionate I was towards AI as well. I started working on Machine Learning projects on Upwork. And during my sixth semester I considered working on AI for my Final Year Project (FYP), because I had some prior knowledge of it through self-learning. I selected the project AI Based Urdu Language NLP Chatbot, which had the ability to understand the context and provide meaningful answers.

I started my career by offering my machine learning services on upwork. I worked on many projects of different complexities. One of my clients from Upwork, Urbanise a facilities and strata management company located in Melbourne, Australia offered me a full-time remote job as a Machine Learning Engineer. And during this tenure of 3 years I worked on many different aspects of Machine Learning, MLOps, Big Data & AWS.

In September 2020, amidst my remote job, I also started my Masters in Data Science from FAST-NUCES Islambdad. Currently I am working on my thesis in the field of Gemoetric Deep Learning & Graph Machine Learning. To sum it all up I am basically a ML Engineer, who has more than 4 years of experience in ML, MLOps, Big Data, & AWS.


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Irfan Danish's Projects

annimplementataion_keras icon annimplementataion_keras

A simple Implementation of Artificial Neural Networks in Keras, We used a case study of an online store which sells audiobooks. They are looking for the model which is able to predict that out customers that have bought the books previously which customers will buy again and which of them will not. So they spend there add budget to only those customers which have chances to buy again.

arxiv-sanity-lite icon arxiv-sanity-lite

arxiv-sanity, but very lite, simply providing the core value proposition of the ability to tag arxiv papers of interest and have the program recommend similar papers.

best_ai_paper_2020 icon best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, andΒ code

easyseq2seq icon easyseq2seq

This repository implements the a simple chat bot using Encoder Decoder Algorithm of RNN-Tensor-flow

ganlab icon ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

gopher icon gopher

A repository to implement small learning projects in go.

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