- Lieu
- Toronto, Ontario, Canada
- Curriculum vitae
- Arjun_Atwal_Resume.pdf
- Portails
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Vancouver, British Columbia, Canada -
Toronto, Ontario, Canada
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- Catégories
- Développement de sites web Sécurité (cybersécurité et sécurité informatique) Développement de logiciels Apprentissage automatique Intelligence artificielle
Compétences
Profils sociaux
Réalisations
Dernières rétroactions
Rétroaction d'equipe
Rétroaction d'equipe
Projets récents
Tools for Small Businesses
Ribbon (https://getribbon.ai) is on a mission to make business simple for Canadian entrepreneurs. As part of our marketing efforts we create material that we put in a resources section of our website (https://resources.getribbon.ai). We are expanding into a tax offering and want to add tools/calculators that Canadian entrepreneurs can use to make their lives easier. This will involve several different steps for the students, including: Research and understanding a specific common question. Likely this will involve reading a lot of reddit posts. Digging into government regulations. Creating a couple options of what the design/functionality could look like. Implementing a tool/calculator in a single page React App.
Software Development: Raster Image to tileset for Mapbox
We have an interactive resort ski map where guests can explore digitally. We would like to streamline the creation of new maps at new resorts. Typically a resort will have a 2D and and 3D map. The 2D map starts with an image provided by the resort. This image is tiled with external tools so it may used as a Raster Layer on Mapbox. -- See 2D map on demo product: https://app.steepdeep.ski/?mapId=back_side. Notice as we zoom into the photo we do not loose quality of the image. This is because this image is tiled and placed over top the world. We would like to streamline this process. Your goal, using local development is to create a Python program that takes an image as input and the returns the tileset of the image without distorting the image. This task may prove to be difficult since we are projecting across the Mercator projection. The program you will create will be in Python since there are several resources to perform such operations as GDAL.
Expérience professionnelle
Software Engineer Intern
SteepDeep
Toronto, Ontario, Canada
mai 2024 - septembre 2024
• Created a Python script to automate converting .png images into Tilesets over a world map, streamlining the
process of interactive map generation
• Wrote CURL lines to stage files on an AWS bucket before uploading them to Mapbox Studio
• Created Python scripts to run CURL commands interacting with Mapbox API, securing access keys and account
info, while automating HTTP response parsing and subsequent request generation to eliminate manual work
• Developed functions that integrated with Firebase which updated database fields based off user inputs
Software Engineer Intern
Ribbon Business
Toronto, Ontario, Canada
janvier 2024 - mai 2024
• Created a React website that computes the break even point for a full-time employee to switch to a contract role
and have the same take home salary after taxes and business expenses
• Used Balsamic to create wireframes for a proposed financial calculator involving income tax approximation
Software Engineer Intern
Ontario Government
Mississauga, Ontario, Canada
mai 2023 - septembre 2023
∗ Enhanced report generation capabilities by learning and implementing new functionality within existing XML and XSLT codebases decreasing the weekly time commitment for the team by 20 hours
∗ Used Mapbox API to create an application which takes sets of officer locations in the form of a Tileset and outputs an interactive map with an icon on each location
∗ Successfully created a pathfinding algorithm that determines which officers should respond to issues as they occur, eliminating the need for a dedicated dispatcher
∗ Implemented SQL queries referencing NicheRMS365 database entities within XML for report generation
∗ Coded Python scripts to automate updating and generating JSON data representing hundreds of employee profiles, assets, and other entities
∗ Performed IT-related tasks on assets, which included diagnosing, repairing and reimaging computers for office use
Éducation
Honours Bachelors Degree, Computer Science
University of Western Ontario
septembre 2022 - Présent
Projets personnels
Chef-AI
août 2024 - janvier 2025
https://github.com/JustaShadow2/AI-Chef• Developed a machine learning-powered food freshness predictor using nonlinear regression and sigmoid modeling
• Designed a custom Freshness Index Algorithm that quantifies food spoilage based on mass, temperature and color
changes which achieves an R² value of 0.94
• Categorized items based on freshness thresholds over time to optimize meal planning and reduce waste by 20%
• Deployed AI-driven recipes, dynamically generating meal suggestions based off ingredient freshness