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Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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apoorva-machale/README.md

Apoorva Machale

Software Engineer | Bridging Tech & Trust | Master's in Computer Science at CSUF | AI, Data, Security

Hi! I'm Apoorva Machale, a passionate programmer with a knack for problem-solving and a fascination with the intersection of technology to create impactful solutions that truly help others. I bring two years of experience in software design and development, with a hunger to learn and contribute to a collaborative, cutting-edge environment.
The constant drive to stay ahead in the digital world can be demanding. I am immensely interested in the connection between technology and emotional well-being. This realization sparked the idea for "Daily Journaling Application/StressLens" a web application for self-monitoring mood trends to strengthen my skills towards understanding rest architecture and user interface concepts. I found this learning intuitive, as I look forward to help people through technology to make it easier.

Open to brainstorming and exploring how my experience can benefit your work. Connect with me on LinkedIn or drop me an email at apoorvaa.machale@gmail.com

Skills

Python C++ Git Fast API MongoDB MySQL React Material UI Linux Docker AWS

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  1. Kudos-Application Kudos-Application Public

    A FastAPI backend that powers recognition across your organization.

    Python

  2. Data-Structures-and-Algorithms Data-Structures-and-Algorithms Public

    Learning and understanding problem-solving skills through data structures and algorithms

    Python

  3. StressLens StressLens Public

    Developed a web application to help users track moods using their self-journaled notes, gain insights, and prioritize emotional well-being while ensuring strict data privacy.

    Python

  4. SkillMatrix SkillMatrix Public

    Developed scalable application with robust search, insightful reporting, and optimized user experience for efficient employee detail search

    JavaScript

  5. Stress-Detection-and-its-Analysis-using-social-media Stress-Detection-and-its-Analysis-using-social-media Public

    Developed a Python-based tool using machine learning to analyze Twitter for stress indicators, providing users and loved ones with insights to support their well-being.

    Python