Varuna Jayasiri

5.0

(2 reviews)

US$20.00

For every 15 mins

Sessions/Jobs

ABOUT ME

a programmer that likes deep learning

A programmer with somewhat shallow experience in a wide range of areas. Have been swopping technologies and roles a lot. Started learning deep learning full time about a year ago, by experimenting and implementing papers and variations. Have worked on a bunch of deep reinforcement learning algorithms, and some other deep learning applications such as stock market predictions, image classifications, and text completion.

English

Sri Jayawardenepura (+05:30)

Joined September 2019

EXPERTISE

Deep Learning

2 years experience | 1 endorsement

I have experience in vision (CNNs, GANs, few shot learning), language (LSTMs, Transformers), and in Reinforcement Learning

PyTorch Python

Reinforcement Learning

1 year experience

I have hands on experience with reinforcement learning algorithms like PPO, DQN, IMPALA, VTrace, and RND. I have also gone through many o...

I have hands on experience with reinforcement learning algorithms like PPO, DQN, IMPALA, VTrace, and RND. I have also gone through many other research papers in the area.

Python PyTorch

Python

2 years experience | 1 endorsement

Python experience from working on deep learning experiements.

Algorithm

15 years experience

1 gold and 2 silvers in International Olympiad in Informatics. Taken part in TopCoder and Codejam. Have experience training students for ...

1 gold and 2 silvers in International Olympiad in Informatics. Taken part in TopCoder and Codejam. Have experience training students for the informatics olympiad.

Algorithm Data structure

Node.js

5 years experience

Worked on the backend for Forestpin Analytics. A product that analyses financial data.

Node.js

REVIEWS FROM CLIENTS

5.0

(2 reviews)

Xander Smith

January 2020

Varuna was very knowledgeable, helpful, curious, and strait to the point!

Tarang Patel

December 2019

Varuna was exceptionally knowledgable with Pytorch, he explained every single line will definitely come back!

SOCIAL PRESENCE

GitHub

python_autocomplete

A simple neural network for python autocompletion

Python

670

lab

🧪 Organize Machine Learning Projects

Python

115

EMPLOYMENTS

Remote Software Engineer

imo.im

2017-02-01-2018-10-01

Worked on a variety of mobile apps.

Python

Android

Java

Python

Android

Java

Kotlin

Swift

iOS

Software Engineer / Co-Founder

Forestpin

2012-03-01-2017-02-01

Worked on Forestpin Analytics (UI and Backend), update pushing system to enterprise customers and the software license management system

Node.js

Responsive Design

Machine learning

Node.js

Responsive Design

Machine learning

Statistics

CoffeeScript

Electron

Hybrid app

UX/UI Design

Software Engineer / Co-Founder

nearby.lk

2012-02-01-2014-12-01

Developed the backend and frontend of the location based search engine.

Node.js

Google App Engine

Bootstrap

Node.js

Google App Engine

Bootstrap

JavaScript

Hybrid app

Apache cordova

PROJECTS

Lab: A library to organize deep learning experiementsView Project

2018

This library helps you organize machine learning experiments. It is a quite small library, and most of the modules can be used independen...

This library helps you organize machine learning experiments. It is a quite small library, and most of the modules can be used independently of each other. This doesn't have any user interface. Experiment results are maintained in a folder structure, and there is a Python API to access them.

Python

PyTorch

Python

PyTorch

Annotate: Add notes to source codeView Project

2019

It is a simple web app that lets you write Markdown (and LaTex math) side notes on your code, without making changes to the source files....

It is a simple web app that lets you write Markdown (and LaTex math) side notes on your code, without making changes to the source files. The idea is to write notes and comments outside the code so that code stays clean, short, and readable. Notes are matched based on similarity when the code changes. The matching algorithm might need improvements. We intend to use it for personal note taking to understand code, writing tutorials, and for collaboration.

Python

TypeScript

Python

TypeScript