Yulia Obshansky
Yulia Obshansky
Learner - She / Her
(1)
31
Location
Toronto, Ontario, Canada
Bio

Detail-oriented and motivated 3rd-year Computer Science student with a strong foundation in full-stack development, data structures, and algorithms. Experienced in designing and implementing scalable applications with Java, Python, JavaScript, and SQL. Passionate about problem-solving, optimizing system performance, and working in Agile environments. Strong communicator with experience in collaborative team environments, hackathons, and leadership roles. Multilingual with fluency in English, Hebrew, and Russian.

Portals
Categories
Website development Mobile app development Security (cybersecurity and IT security) Information technology Software development

Skills

Chatbot 2 Conversational ai 2 Instagram marketing 2 Mobile application development 2 Wordpress 2

Socials

Achievements

Latest feedback

Recent projects

Next Stop Toronto - Vested Interest
Next Stop Toronto - Vested Interest
Toronto, Ontario, Canada

Toronto Virtual Tour Guide Chatbot

Next Stop Toronto is a template for creating a virtual tour of Toronto history, businesses and culture.   The goal of this Riipen LevelUp project is to program AI as a chatbot. The chatbot's duty is to answer questions for things to do (i.e., local activities, events, classes, etc. in Toronto). I want to promote local businesses only.   On my page Instagram page, I have suggestions for activities we can plug into the chatbot programming. Will use open-source chatbots for Instagram. Here's some examples. BotPenguin, SMMBOT.net, Chatfuel, Botpress, Rasa, and Wit.ai.   Or perhaps even better, make our own app and integrate a chatbot into that! Forget social media. And just make an app with a chatbot! That's ideal.   I have suggestion for app templates such as the Dottie app. However, the main goal is to create a chatbot that is programmable by me. That is, I want to work with the intern at times, to help them through the process, and create a better working system as a collaboration. Next Stop Toronto aims to enhance the visitor experience by developing an interactive app featuring a chatbot that serves as a virtual tour guide for Toronto. The goal is to create a user-friendly application that provides tourists with real-time information about popular attractions, historical sites, and local events in Toronto. The chatbot should be capable of answering frequently asked questions, offering personalized recommendations, and guiding users through various points of interest in the city. This project will allow learners to apply their knowledge of app development, natural language processing, and user interface design. The project focuses on creating a seamless and engaging experience for users, encouraging them to explore Toronto's rich cultural and historical landscape.

Matches 1
Category Mobile app development + 4
Open

Work experience

Customer Service Associate
Me va Me
Vaughan, Ontario, Canada
January 2022 - August 2022

● Handled transactions efficiently, applying problem-solving skills in a fast-paced environment.
● Provided dietary recommendations, ensuring compliance with 16+ menu options for customer satisfaction.
● Managed driver scheduling with strategic planning, ensuring seamless operations and a 100% on-time delivery rate.
● Built strong customer relationships through exceptional service, driving retention and repeat business.

Education

Bachelor's of Science, Computer Science
York University
September 2022 - May 2026

Personal projects

Yarn Track: A Crochet Project Management App
December 2024 - Current

● Designed and developed a React Native mobile app to help users track their current in progress crochet projects.
● Built an intuitive UI/UX using Figma, mapping user flows and designing engaging visuals.
● Engineered a PDF parser to extract and organize project details for seamless data entry.

Three Musketeers Board Game
October 2024 - November 2024

● Developed a 5x5 board game with a JavaFX-based GUI, supporting Human vs. Human and Human vs. AI gameplay.
● Implemented move validation, undo functionality, and heuristic-based board evaluation.
● Applied OOP principles (inheritance, composition, SRP) to ensure scalability and maintainability

Graph-Based Relationship Mapping API
August 2024 - September 2024

● Built a Neo4j-powered RESTful API to manage 1,000+ graph entities and relationships.
● Optimized query efficiency by 25% through property-based queries and dynamic property updates.
● Designed and implemented algorithms for shortest-path calculations, applying advanced graph traversal techniques.