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document-curator
April 6, 2026 – Present
Local Electron + Vue app to organize IDs, immigration, tax, and academic documents
View Projectstock-summarizer
October 12, 2025 – October 12, 2025
An intelligent, fully automated system that fetches financial news from RSS feeds, analyzes market sentiment using OpenAI GPT, generates professional PDF reports, and emails them daily
View Projectapple-product-notifier
September 20, 2025 – September 20, 2025
Track iPhone 17 Pro Max availability for in-store pickup near your zip code
View Projectriddle-tracker
May 23, 2025 – May 25, 2025
A Nuxt 3 + Tailwind CSS app for tracking daily riddle games, scores, and analytics between two players.
View ProjectReactNative101
January 10, 2022 – January 10, 2022
This project is to learn the basics of react native
View ProjectReal-Time-Sign-Language-Recognition
September 24, 2019 – September 24, 2019
Communication with an individual who is unable to speak and/or hear can be challenging. The only mode of communi- cation is through sign languages. Since sign languages have a learning curve and not everyone can use sign languages to communicate, an application that can automatically translate the sign language to text/speech will be useful to both cate- gories of individuals to communicate. We introduce a solution to this problem by applying computer vision and machine learning concepts. While this application detects letters and numbers in real-time, it forms a solid foundation for the application to translate complex gestures into words, sentences and phrases in real time.
View ProjectPowerSavingGPS
March 26, 2019 – March 26, 2019
A location tracking application using accelerometer, magnetometer and GPS sensor that reduces the consumption of battery power compared to conventional location tracking applications.
View ProjectIndianFoodRecognition
January 15, 2018 – February 12, 2018
IndianFoodRecognition — GitHub repository
View ProjectAutomated-Lab-Assessment
August 24, 2017 – November 29, 2017
Automated-Lab-Assessment — GitHub repository
View ProjectConvoluted-Neural-Network
February 4, 2017 – February 26, 2017
This is a project which used Tensorflow, Tflearn, CuDNN and CUDA for the convoluted neural network to recognize and classify images.
View ProjectCultural Fit Analysis
The candidate has a diverse portfolio of personal projects, including machine learning, web development, and mobile-adjacent applications. This breadth suggests curiosity and a self-starter attitude. However, the majority of projects are not directly related to native iOS development, which might indicate a broader interest rather than a focused passion for the iOS ecosystem. The 'document-curator' project uses Swift, which is a positive indicator for cultural fit within an iOS team, but it's a single instance among many varied projects. The 'apple-product-notifier' project also shows an interest in Apple's ecosystem, though implemented with web technologies.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse problems, from machine learning to utility applications. However, without specific psychometric test results or interview data, it is difficult to assess soft skills like teamwork, stress handling, or communication clarity beyond what is inferred from project descriptions.