Bilal Ahmed's picture

About Me

I work as a Managing Consultant at IBM, Global Business Services. In my professional capacity I am responsible for providing strategies, business cases, architecture and implementation services in Mobile, Commerce and Cloud based solutions.
I completed my Master of Engineering degree, with major in Distributed (Cloud) Computing discipline, from Melbourne University in June 2013. I acquired a Masters certificate in Finance and Marketing from Harvard University, in 2012.
I believe I have a keen understanding of technology and business, with over five years of experience in business consulting and hands on technical implementation.

Contact Details

Bilal Ahmed
M: 0432 020 777


Master of Engineering in Distributed Computing

University of Melbourne, Australia, 2013

Masters Certificate in Business - Finance and Marketing Management

Harvard University, USA, 2012

Bachelor of Engineering in Software Engineering and Electronics

Victoria University, Australia, 2008


Managing Consultant

IBM November 2014 - Present

  •   •ATO eCommerce Platform, Australian Taxation Office (ATO)

Senior Consultant

IBM March 2012 - October 2014

  •   •New Zealand Customs JBMS Program, Wellington (NZ) - Rational Software Specialist
  •   •National Broadband Network Co (NBN Co.), Melbourne - Rational Software Consultant

IT Consultant

IBMSeptember 2010 - February 2012

  •   •Department of Immigration and Citizenship (DIAC) - GVP, Sydney - Build Team Manager
  •   •Department of Immigration and Citizenship (DIAC) - GVP, Sydney, Canberra - Developer

Graduate IT Consultant

IBMMay 2009 - August 2010

  •   •Department of Immigration and Citizenship (DIAC) - GVP, Canberra - Business Analyst
  •   •BHP Billiton, Transformation R1 and R2, Melbourne - Test Specialist
  •   •The Good Guys Project 300, Melbourne - Business Analyst


Seamless Proximity Detection in Mobile Devices

University of Melbourne July 2013

Post graduate thesis on viable techniques for seamless proximity detection in mobile devices. The thesis presents implementation techniques for applications to make use of a device’s location and proximity to other devices to achieve coarse and fine resolution for detection and spatial mapping.

Lexical Normalisation of Twitter Data

University of Melbourne May 14, 2013

Twitter with over 500 million users globally, generates over 100,000 tweets per minute. This paper investigates various techniques for lexical normalisation of Twitter data and presents the findings as the techniques are applied to process raw data from Twitter.

Predictive Capacity of Meteorological Data - Will it rain tomorrow?

University of Melbourne June 3, 2013

This paper presents a set of experiments which involve the use of prevalent machine learning techniques to build models to predict the day of the week by analysing the weather data. The results provide a comparison of accuracy of these machine learning techniques and their reliability across four cities in Australia {Brisbane, Adelaide, Perth, Hobart}.

RFID based Mobile Applications and Techniques

University of Melbourne October 10, 2012

Term paper on RFID and its application in mobile devices with key focus on emerging technologies to address market gaps.

Cloud based Job Management System (JMS)

University of Melbourne April 15, 2012

Published paper on advanced algorithms and techniques to maximise execution efficiency based on job deadline and priority on distributed systems.