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👤 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.

🧑🏽‍🎨 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

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

mars icon mars

Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and Python functions.

mmf icon mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

numpy icon numpy

The fundamental package for scientific computing with Python.

pip icon pip

The Python package installer

ray icon ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rrt icon rrt

Rapidly-exploring Random Tree

rstudio icon rstudio

RStudio is an integrated development environment (IDE) for R

samplegen icon samplegen

Sample your data following some distribution

scipy icon scipy

Scipy library main repository

streamlit icon streamlit

Streamlit — The fastest way to build data apps in Python

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