Cape Breton University
Cape Breton University
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Shwethan Sivapalan
Learner
(1)
31
Resume
Shwethan_s_Resume.pdf
Portals

Skills

Artificial intelligence 1 Mobile application development 1 Personalized service 1 Process design 1 Usability 1 User experience (ux) design 1 User profile 1 User registration 1

Achievements

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Level UP exit survey completion- February 2025 cohort
Issued by Level UP: February 2025
Awarded for sharing your feedback — your insights help us improve Level UP, and this badge recognizes your valuable contribution.
Completed on April 1, 2025
Work-Integrated Learner
Issued by Riipen
The Work-Integrated Learner achievement is awarded to learners who applied their skills to a real-world problem by completing a project for an external partner. These learners provided real benefit to businesses while developing experience.
Completed on April 1, 2025
Level UP community builder - February 2025 cohort
Issued by Level UP: February 2025
Awarded for providing feedback at the end of a Level UP project.
Completed on April 1, 2025

Latest feedback

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Grant Sakinofsky
Grant Sakinofsky
Director
April 1, 2025
Learner feedback
Shwethan has a lot of potential and can adapt quickly, given the right opportunity he can excel.
Mobile application development User experience (ux) design Process design Personalized service User registration User profile Usability Artificial intelligence
Riipen Level UP 🚀
Level UP: February 2025
Riipen Level UP 🚀
Smooth Migration Global
Relocation Companion App Prototype
Smooth Migration Global

Recent projects

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Smooth Migration Global
Smooth Migration Global
Vancouver, British Columbia, Canada

Relocation Companion App Prototype

Smooth Migration Global, a Canadian startup specializing in global relocation services, aims to enhance the relocation experience for individuals moving to Canada, USA, UK, and South Africa. The project involves developing a prototype for a mobile app powered by AI, designed to streamline access to various relocation services offered by the company's partners. The app will allow users to sign up, create a profile, and receive personalized service recommendations based on their specific needs. This project provides an opportunity for learners to apply their knowledge in mobile app development, user experience design, and AI integration. The goal is to create a user-friendly interface that effectively connects users with the services they require, improving their relocation experience.

Matches 3
Category Mobile app development + 4
Open

Work experience

Software Developer
JOMAR Software Services
Cambridge, Ontario, Canada
May 2024 - August 2024

• Developed a full-stack interactive web application within a Linux server displaying energy usages incorporating 10+ graphs
using Chart.js, JSP, JSON, HTML/CSS and MySQL
• Implemented/optimized queries with SQL Server and Oracle databases containing over 1 million records
• Tested and generated scripting algorithms to generate UPC codes for a catalog of over 10,000 SKUs
• Executed testing plans for new AI documentation system for SOPs yielding in 15 times faster documentation
• Collaborated with senior developers to create dynamic menus for subsidiary operations, enabling efficient tracking of purchase
and sales orders while implementing optimized queries, reducing query execution time by 33%
Software Development Team Lead
Techub
Milton, Ontario, Canada
January 2023 - July 2025

Directed 6 developers to create the database of student IDs, lockers, location, and names utilizing MongoDB
• Educated over 40 students Java fundamentals leveraging VS Code and Python using Jupyter Notebook
• Deployed 5+ games for club members to play and add on custom features using C/C++and Git
• Utilized Jira to track and monitor sub-team goals, progress, and tasks, ensuring alignment with project timelines and facilitating cross-team collaboration

Personal projects

Keypad Door Lock System

• Designed and implemented a secure door lock system using a 4x4 keypad and 16x2 LCD, achieving a 95% success rate during
testing with over 50 password attempts
• Integrated LED indicators, a piezo buzzer, and a servo motor to provide real-time visual and auditory feedback, enhancing
system usability by 30%
• Programmed in C++ using the Arduino IDE, leveraging libraries such as Keypad, LiquidCrystal, and Servo to seamlessly
integrate hardware components
Stock Market Predictor

Built a machine learning model using Random Forest to predict future stock prices and trends by analyzing historical data
and technical indicators, achieving an accuracy of 64%
• Utilized financial libraries such as Yahoo Finance API to automate the extraction of live stock data and integrate it into
the model for real-time predictions
• Leveraged Pandas for efficient data manipulation, including cleaning, merging, and filtering stock market data reducing
manual data input time by 50%