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Software Developer

Scarborough, ON, Canada
April 24, 2020

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Edna Johnson

Scarborough, ON, CA


LinkedIn: Edna Johnson


Java Developer with experience in the warehouse management domain of supply chain management, Finance, and Banking.

Has 2 years of experience in C++, Java and Web development including building code for deployment using tools building it using CI/CD tool Jenkins.

Achieved the “Rookie of the Quarter” for my first year in the company because of my work for the peak season support.

Worked on multiple projects in Python, C, C++, Java, Cloud (AWS), deep learning, machine learning, and R programming.

Worked on both frontend and backend development. Frontend development using HTML, CSS, PHP, Perl, Javascript, Flask and React.

Worked on multiple operating systems including UNIX and LINUX. Expertise in MySQL and Oracle including knowledge on RDBMS.

Hands on experience in defect life cycle management using project management tool JIRA software to ensure Software Quality and worked with engineering team to fix issues.


Domain: Supply Chain Management, Finance, and Banking

Integration & Build tool (CI/CD): Jenkins

Project Management: JIRA

Programming Language: C, C++, Java, Python, Web development, R programming, Shell scripting

Database Analytics: Oracle, MySQL

Integration Framework/API: SOAP, REST

Operating Systems: UNIX, LINUX, Windows 2004-2018 versions

Version Control: Git


Master of Computer Science. 2018-2020

Lakehead University, Thunder Bay, ON, Canada

Bachelor of Engineering – Computer Science Engineering. 2010 -2014

CMR Institute of Technology, Bangalore, Karnataka, India

Work Experience

Manhattan Associates 07/2016- 08/2018

Software Developer

•Expertise in Manhattan Warehouse Management for Open Systems [Classic/Platform] and Supply chain Domain.

•Technical Skill set include good understanding of Java, C++, C, Web Development, Oracle, SQL, PL/SQL, Unix, Linux, Exposure to GIT, JIRA, Data Structures, Analysis and Design of Algorithms and OOPS concepts.

•Versatile team player with excellent analytical, communication and interpersonal skills.

•Worked on projects involving customization for different client specific environments and worked on numerous issues.

•Worked for multiple clients including Shoppers Drug Mart, Loblaw, Home Depot, Hudson Bay, Simon and Schuster’s, Floor and Décor, PetSmart, and numerous other clients.


Multimodality Weight and Score Fusion for SLAM. 09/2019- 04/2020

•Python was used to code and the project involved concepts in machine learning.

•This is an application for automatic car driving that involves the use of the dataset Apolloscape for best accuracy.

•I was a team leader and my responsibilities included both coding and documentation.

Hybrid Learner for Simultaneous Localization and Mapping. 09/2019- 04/2020

•This is a continuation of the project – Multimodality Weight and Score Fusion for SLAM.

•It involved concepts in deep learning and machine learning.

•I was a team leader for this project too and my responsibilities were to help other team mates to achieve the set goals.

Order Management. 07/2016- 09/2016

•The project was coded using Java, C++, Web UI and SQL/Oracle.

•It is a project based on Order Management Systems in supply chain domain.

•I was an individual contributor for this project, and I coded both the frontend and the backend of the project.

Intelligent prediction of readmission of diabetic patients in hospitals. 09/2018- 12/2018

•The project was coded using concepts of Big Data in R programming.

•Using R programming and plots, I was able to predict the readmission of diabetic patients from a defined dataset available online.

•My responsibilities were to be a team player and to code and document.

Blood Bank Management System. 02/2019- 04/2019

•Frontend coded in HTML, CSS while the backend was coded using Javascript and PHP programming.

•This is a website created for the blood bank management system. This can also be used as an android application for the sole purpose of it being user friendly.

•Being an individual contributor, I developed both the frontend and the backend.

Sentiment Analysis (SenText). 06/2019- 09/2019

•Coded in Python using Google Colaboratory and Pycharm. Flask was also used for the frontend development.

•Using various NLP libraries in python, I developed a tool named Sentext which identifies the sentiment of any text we pass to it. It identifies the emotions in the paragraph and gives you the score of the positivity or negativity of the statement.

•My responsibilities were to understand concepts in Natural Language Processing (NLP) and to code.


Akilan T., Edna J., Gaurav T., Japneet S., Ritika C., “Multimodality Weight and Score Fusion for SLAM”, IEEE CCECE, 2020.

Akilan T., Edna J., Gaurav T., Japneet S., Ritika C., “Hybrid Learner for Simultaneous Localization and Mapping”, IEEE SMC, 2020.


•I have received a lot of appreciation for my work at Manhattan Associates. I was both nominated and awarded the “Rookie of the Quarter” award. I have received several spot bonuses for my work at Manhattan.

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