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echo "Hello, world!" πŸ‘‹πŸ½

πŸ‘€ Who Am I?

I am Deka, it means 10 in greek language. You might be familiar with my name if you know the metric system.

I am a lifelong learner and software engineer. I am passionate about developing software tools that make people lives' easier.

I had worked with and have production experience in:

  • software engineering (backend, frontend, fullstack, shell scripting, Linux, web development, app development, testing pyramid, etc.),
  • the data science-y and engineering world (databases, distributed data systems, data science, data analytics, machine learning, deep learning, data engineering, artificial intelligence, data wrangling, data viz, etc.),
  • the modern trends in devops and cloud native solutions (CI/CD pipelines, docker, kubernetes, helm),
  • the cloud (AWS, GCP, net in general),

and always ready to venture into research beyond the available tools to make things work better. I believe there is always an opportunity to learn and improve, acquiring new skills and making difficult things easy all boils down to our efforts.

πŸ§‘πŸ½β€πŸŽ¨ My Interests

I am excited to learning new things and advancing my skills and experience, not just in technical domain but also to growing professionally and being an excellent team player.

The thing that currently interest me the most is Data, distributed systems, democratizing data through tools, and cloud native solutions.

I believe data and software design are essential to Machine Learning and AI, because if you have no good data you cannot build good models. And models have little value unless they are reproducible, in production, and have users benefitting from them. Thus, I am very interested in developing and researching efficient toolings that enable human to benefits from data easily and effectively.

dekauliya's Projects

awesome-bigdata icon awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

containers icon containers

Sample base images for Databricks Container Services

cython icon cython

The most widely used Python to C compiler

dagster icon dagster

A data orchestrator for machine learning, analytics, and ETL.

data-science icon data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dsmlutil icon dsmlutil

Data Science and Machine Learning Utilities

dvc icon dvc

πŸ¦‰Data Version Control | Git for Data & Models

etc icon etc

tools and configurations to help my life

fastapi icon fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

ghcli icon ghcli

CLI + GitHub = 20% Automation + 10% Productivity

go-duckdb icon go-duckdb

go-duckdb provides a database/sql driver for the DuckDB database engine.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

igel icon igel

a delightful machine learning tool that allows you to train, test and use models without writing code

ipython icon ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

justforfun icon justforfun

Experimenting with JavaScript, Python, and Ruby (soon) :p

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