Profile

Software engineer, postgraduate researcher

About me

I am all round software engineer with primary focus on optimization algorithms. Stand for quality solutions and computational efficiency. Particularly enjoy researching new techniques and algorithmic improvements for existing software solutions. Also, I love learning new skills all the time, especially when that gives broader understanding of other subjects.

 

Details

Name:
Jonas Skackauskas

Age:
25 years old

Location: 
London, United Kingdom

Experiences

Education

Brunel University

Oct 2018 - Present

Postgraduate research in Artificial intelligence

Continued collaboration with Intel on solving Fab Floor Optimization problem using Ant Colony Optimization algorithm. Research aims to solve dynamic multi-objective optimization problem that return one final solution as opposed to returning multiple non dominant solutions. Such system is viable to be deployed in real time and does not necessarily require a human decision maker to choose a solution to be pushed into production. 

Brunel University

Sep 2014 - Jun 2018

Electronic and Computer Engineering BEng: 1st class honours degree

The course gave an understanding in wide range of topics that all together makes a strong foundation of computer engineering.  Multiple abstraction layers gave complete understanding all the way from writing a method to understanding the layout of transistors and connections in the processor to execute said method. 

Saule gymnasium

Sep 2011 - Jun 2014

High school degree (A-levels equivalent) 

In high school I did enjoy physics, math, and IT. Programming class in school showed me the basics of software development simply just by giving computer a set of unambiguous instructions, and the only constraint is my skill and imagination. This sparked an interest to advance farther than school curriculum in programming.

Career

Intel - Brunel

Jun 2016 - Oct-2017, work placement
Oct-2017 - May-2018, academic research 
May-2018 - Present, further collaboration

Software engineer

During this time, I have been involved in 2 artificial intelligence projects that I have been fully responsible for project successes and failures. Supply Chain Optimization, Fab Floor Optimization. Both projects were successfully developed using Ant Colony Optimization algorithm implemented in C++ language.

Abilities

Skills

  • C++
  • C#
  • Arduino
  • Java
  • CUDA
  • HTML
  • CSS
  • JavaScript
  • Python

Algorithms

  • Ant Colony System
  • Genetic Algorithm
  • Artificial Neural Network

Tools

  • Windows
  • Visual Studio
  • Microsoft Office
  • Hyper-V
  • VS Code
  • Netbeans

Other skills:

  • 3D printing
  • Simplify 3D
  • Math
  • Solidworks
  • Joomla
  • Labview
  • DNN(DotNetNuke)
  • Adobe Creative Cloud
  • Altium Designer

Projects

Professional project work

Fab Floor Optimization

Jun 2017 - Present

Adapted and modified Existing Ant Colony Optimization algorithm to solve scheduling of microchip manufacturing plant to maximize useful production throughput. Researched algorithm capability to effectively optimize on optimization problem with highly divergent nature.

Crypto currency algorithmic trading

Apr 2018 - Present

2 people endeavor to develop automated trading system using machine learning that produces positive capital gain in from volatile crypto currency market. The project is still in development. My participation so far has been back testing and trade emulation, as well as simulated trades performance metrics and evaluation.

Supply Chain Optimization

Jun 2016 - Jun 2017

Developed further project iterations with updated set of requirements for transportation network optimization to minimize transportation cost and maximize shipments arrival on time. Researched multi-objective optimization and GPU acceleration.

Personal projects

Traveling Salesman Visualization

An interactive demonstration of a classic Traveling Salesman Problem. Path optimization is solved in real time using simple Ant Colony Optimization algorithm. Try it