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followers: 9.0 following: 27.0 repos: 305.0 gists: 20.0

Name: Rakha Asyrofi

Type: User

Company: Universitas Hang Tuah

Bio: Lecturer | Data Engineer

Twitter: asyrfist

Location: Surabaya, Indonesia

Blog: https://s.id/asyrofi

Welcome to my Page!

Hello my name is Rakha Asyrofi, I come from Surabaya, East Java, Indonesia, Now, I'm waiting for my enrollment as Doctoral Student in National Central University (NCU). I have master's degree in Institut Teknologi Sepuluh Nopember (ITS) and bachelor's applied science degree in Electronic Engineer from Politeknik Elektronika Negeri Surabaya (PENS).

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You need to know what i'am ☺️

Currently I've graduate as a Master's Student Degree at Informatics ITS and Bachelor Applied Science at Electronics PENS 👍
My Research talk about Brain Segmentation, Face Detection, Traceability Requirements, Extraction Requirements, Supply Management System , Interdependency Requirement Extraction , Bluetooth Low Energy , and many more.
I'm electronic and data research enthusiast.
I was working as Technical Sales Engineer and Health Safety Officer at PT. Keivan Bros who sales everything at many places, such as PJB UBJOM Rembang, PJB UP Gresik, PJB UBJOM Pacitan, PJB UBJOM Tanjung Awar-Awar, Petrokimia Gresik, and many more
I was working as Backend Engineer and Quality Assurance at PT. GDC Multi Sarana, who develop many things. such as Web ArtaKu Internal, Web GDC Landing, Gateway ArtaKu Mobile, Gateway ArtaKu Web, Gateway GDC APU PPT, Artaku Mobile App, and many more
Now I work as Lecturer & Fulltack Engineer at Universitas Hang Tuah, who maintain Sistem Informasi Akademik and Document PDF Generator
I write content on Medium and Revue

What i've learned:point_down:!

My Technical Posters

I have done many things so many things using several platform. If you want to know more you should check out this details portofolio. Currently I am available to work as freelance full stack coder, if you need something..

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You need to know what i've done ☺️

🏆 Git profile Trophies

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And also, there is several attributes and updates. I've been doing several times ago, I hope you will enjoy with my article and updates. What supposed I do. Thank you..

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Developer Quotes:

Twitter Update:

Medium Update:

That's it all about my portofolio and several personilazation what I've done so far. Than you for your attention.. more stars, more fun

Rakha Asyrofi's Projects

4embeddings-bilstm_tfidf

train data and test data files are too large to upload, feel free to download the data at: https://www.kaggle.com/sunhxm/4embeddings-bilstm-tfidf/data

abstract-summary

Corner stone seq2seq with attention (using bidirectional ltsm )

abstractive-summarization

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

adult-income-analysis

Exploratory data analysis for the Adult or Census Income dataset from UCI Machine Learning Repository : https://archive.ics.uci.edu/ml/datasets/adult

advsoft

Language Model Baselines for PyTorch

aiohttp

Asynchronous HTTP client/server framework for asyncio and Python

akademik

Segala yang terkait dengan hal-hal akademik di Praxis Academy

amazon-sagemaker-brain-segmentation

A Jupyter notebook w/ script demonstrating how to train an Apache MXNet model for Brain Segmentation on SageMaker using the OASIS dataset

applied-text-mining-in-python

This repository contains graded assignments in python-3 language of the course 'Applied text mining in Python', part of the specialisation 'Applied data Science using Python' by University of Michigan offered by Coursera.

applied-text-mining-in-python-1

Repo for Applied Text Mining in Python (coursera) by University of Michigan

artificial-neural-networks-with-jupyter

Artificial Neural Networks - Gradient descent, BFGS, Regularization with Jupyter notebook

asyrofist

Berikut ini deskripsi singkat profile saya dibuat menggunakan markdown

atcp

Automatic Thesaurus Construction Package

attention-based-bilstm-relation-extraction

Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)

auto-sentence-generator

To generate a sequence of words, the program calculates the probability that a word follows specific word/phrase. It randomly picks the next word based on a probability distribution -- a series of ranges that each correspond to likelihoods of occurrence.