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Software Tester@ Government of Ontario | CS Student @ Seneca | AI/ML, Automation, Testing | Seeking SWE internships | Toronto, ON
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
HelloJavaFx
June 1, 2026 – Present
My first JavaFX project to learn scenes, stages, nodes, UI controls and other basic concepts.
View Projectpe-hackathon-2026
April 4, 2026 – Present
Production-hardened URL shortener — MLH PE Hackathon 2026 | Reliability Engineering track
View Projectmy-leetcode-journey
June 14, 2025 – Present
Documenting my leetcode coding journy. Solutions organized by difficulty with topic references for easy navigation.
View Projectdsa-workbook
June 1, 2025 – Present
My journey learning Data Structures and Algorithms with notes and Python code.
View Projectsmart-script-analyzer
May 26, 2025 – May 26, 2025
A Streamlit-based AI tool that uses GPT-4 Vision to extract items, totals, and spending insights from receipt images.
View Projectselenium-python-workbook
May 18, 2025 – May 19, 2025
This repository is a practical workbook for mastering Selenium WebDriver with Python. It covers the fundamentals of web automation and testing, including real-world examples, structured modules, and accessibility checks using modern testing practices.
View ProjectSmart-Rent-System
April 1, 2025 – Present
Smart-Rent is a comprehensive property rental platform built with the MERN stack. It connects property owners with potential guests, creating a seamless experience for listing, discovering, and booking accommodations.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal projects, covering a diverse range of technologies from web development (MERN, JavaFX) to data science (Python, Streamlit, GPT-4 Vision) and even mobile development (Swift). This breadth suggests a curious and adaptable individual who is eager to learn and apply new skills. The focus on documenting learning journeys ('my-leetcode-journey', 'dsa-workbook', 'selenium-python-workbook') indicates a structured approach to skill acquisition. The 'pe-hackathon-2026' project, despite being a personal one, hints at an interest in reliability engineering and production-hardened systems, which could be valuable in a team environment. The alignment with a Data Scientist role is evident in several AI/ML-focused projects, suggesting a genuine interest in the field.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-directed learning approach, particularly in areas like DSA and web automation. The variety of personal projects indicates curiosity and a willingness to explore different technologies. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.