• Designing and developing Web applications using Django Framework
  Designing and writing integration tests for microservice driven platform
• Designing and creating tools for automating Devops operations
• Mentoring of Junior deverlopers and conducting Merge Reviews
• Designing and implementing solutions used in the area of Machine Learning
• Conceptualing and creating architectures and designs for integration tests, devops tools, web APIs and Machine learning solutions
• Creating responsible projects roadmaps and support in SCRUM sprints

Working as student on a PEPTRONAS-Funded project entitled "Software Architecture Verification Method for Modernizing O&G Legacy System into Cloud: Towards Operational Cost Optimisation" in UTP High Performance Computing Centre (HPCC).

The following are some the tasks I carryout:

• Design and Implementation of experimental, Travelling Salesman problem (TSP), Vehicle Routing Problem (VRP), multi-objective and multi-population VRP using genetic algorithm in python.
• Design and Implementation of experimental distributed based system to implement multi-objective and multi-population VRP GA
• Design and development of web-based logistic planning system using Django. The system uses multi-population Genetic Algorithm that is my Final Year Project to help logistic companies find optimal routes in planning and scheduling customer order deliveries.

• Re-implemented Robot Framework library that was implemented differently for Windows 32 and Windows CE software builds as one library using Object oriented programming approach that helped software testers to write the same tests for all different platform software builds.
• Created TCP request simulator Robot Framework library which helped software testers debugged and found important bug in the software.
• Managed Student Industrial project to create Docker containers as Jenkins servers and test environment for Linux software builds which helped developers run and debug the builds on windows platform.
• Created a tool that helped automate tedious and time consuming Raspberry PI setup with devices and Jenkins server.