Nabeel Akhtar - Analyst Developer - Cheetay Logistics (Pvt.) Ltd

概要

2+ year of agile and Full Stack development experience. Develop robust code by using frameworks like Django and Flask. Well-versed in technology and writing code to create systems that are reliable and user-friendly. Review user requirement, tech design and team management by breaking epic JIRA to smaller tasks. Code release, peer code review and fixing of critical bugs/issues raised by clients.

项目

jError Javascript Error Detecton

Biomedical Research Lab

Bank Alfalah Business Process Automation

工作经历

Analyst Developer

Cheetay Logistics (Pvt.) Ltd

Oct 2017 - 代表 | Lahore, Pakistan

● Working on Cheetay Web App and Logistics Dashboard using Python frameworks like Django, Flask and Angular JS.
● The goal is to build E-commerce platform for users with logistics services
● Implementing reconciliation functionality so that audits and accounts can be managed easily
● Improving the performance of support team by suggesting optimal riders for the delivery process (in order to do that currently we are using a simple algorithm but meanwhile gathering appropriate data points, so that machine learning algorithms can be applied to them and improve the efficiency of rider suggestions)
● Integrate third party API for automatic order posting to vendors like Pizza Hut, McDonalds, Apothecare.

Software Engineer

Techlogix Pakistan (Private) Limited

Jul 2016 - Oct 2017 | Lahore, Pakistan

● Working knowledge of IBM Web Sphere, IBM BPM, IBM File Net, Java, J2EE, JSP, JavaScript
● Experience in Cloud IVR Development
● Experience in cloud architecture development and cloud design patterns (AWS, Azure)
● On-Site working experience

Undergraduate Teaching Assistant

Punjab University College of Information Technology

Feb 2016 - Jun 2016 | Lahore, Pakistan

SE-343 Enterprise Application Development

Junior Research Assistant

CloudNet (Cloud Computing & Networks Research Lab)

Jul 2015 - Jun 2016 | Lahore, Pakistan

Worked on JavaScript error detection from the web console. Designed JavaScript Library for catching error from console. Analyse them on server using Elastic Search and Apache Spark.
Server is built in Node.js REST API's which catch the error analyze it then save it into Elastic Search multi node Clusters. On website user can monitor project specific errors, we provide a Dashboard built in Codeigniter. In next phase we are moving back-end to Elastic search + Apache Spark for real time data processing.