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Tell me something about yourself.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
quick-code
May 21, 2025 – May 21, 2025
Chrome extension that identifies coding-related queries on Google and provides direct answers without requiring the user to open additional articles. By using WebLLM to compute answers on the device, the extension remains free to use indefinitely.
View Projectingredient-scan
September 3, 2024 – April 16, 2025
A React Native Expo app that uses Google Cloud Vision and OpenAI to scan and identify harmful ingredients in food, skincare, and more. Snap a photo, get instant insights!
View Projectquillbot-sessions
November 27, 2020 – November 27, 2020
quillbot-sessions — GitHub repository
View ProjectCovid-19-Bot
April 14, 2020 – December 12, 2022
A chat bot that answers basic questions about COVID-19. Uses Node.JS for backend and Dialogflow API for NLP
View ProjectMatt-Browser-Desktop
August 27, 2019 – August 27, 2019
Matt Browser is aimed to be a cross-platform web browser targeted towards blind people.
View ProjectSearchEZ
December 26, 2018 – January 15, 2019
SearchEZ finds the cheapest listing of your desired product across various e-commerce sites. (Or a glorified Web Scraper?)
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal projects, indicating self-motivation and a passion for technology. The diversity of projects (chatbots, browsers, ingredient scanners, browser extensions, web scrapers) suggests a broad interest in problem-solving and exploring different domains. This aligns well with a culture that values innovation and continuous learning. The focus on frontend technologies in several projects aligns with the 'Frontend Developer' target role, suggesting a good cultural fit for a team focused on user-facing applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive and self-directed learning approach, which could be a positive indicator for operational fit.