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trushmi/README.md

Hi there👋

I'm Iryna (pronounced ee-RIN-ah), a software engineer with a background in the media industry and communications. I develop full-stack applications to help people and organizations reach their full potential through technology. Getting to know me better:

What Matters to Me:

  • Results: I'm motivated by making a real difference. Whether it's through coding, communication, or teamwork, I aim to leave a positive impact on the projects I work on.
  • Teamwork: I believe that working with people from different backgrounds brings out the best solutions and creates a positive, creative vibe.
  • New Ideas: I love exploring new ideas and pushing the limits of what is possible.
  • Integrity: I value honesty, transparency, and ethical conduct, and I always strive to create good names for variables

🛠️ Languages I speak and Tools I use:

🖥️ Frontend : JavaScript TypeScript React Redux HTML CSS Radix UI Bootstrap

⚙️ Backend : Python C# Express Flask PostgreSQL SQL SQLAlchemy REST API

🧪 Testing: Test Driven Development Jest Cypress Pytest

🛠️ Other: Git GitHub Postman Firebase Docker TensorFlow NLTK OO Design Patterns Jira Agile

My Coding Journey

Open to read
I started my journey by writing “Hello, World!” in JavaScript. Since then, I have expanded my expertise across multiple programming languages and technologies and collaborated with talented professionals on a variety of interesting projects.

After teaching myself JavaScript and React, I built my first project and portfolio website. Driven by a passion for software engineering, I enrolled in Hackbright Academy's coding bootcamp, where I completed 800+ hours of intensive training and successfully delivered 15+ solo, pair, and group projects. During the bootcamp, I learned Python as my second programming language, gained foundational knowledge in Java, and developed skills in working with relational databases like PostgreSQL.

Post-graduation, I developed a responsive TV show tracker app optimized for performance and data integration using React and JavaScript.

To deepen my full-stack skills, learn AWS and testing, I joined ProgramEquity’s Software Engineering Fellowship, working on an open-source project.

I then continued enhancing my skills as a software engineer by building a smart shopping list web application with The Collab Lab, an organization that helps early-career developers gain practical experience with support from mentors.

While contributing to this project, I expanded my knowledge of React, learned how to work with Firebase, and had the chance to conduct code reviews, work on user story points, and develop 15+ features such as item addition and deletion, validations, sorting, and filtering.

My journey continued with the ‘Support SFUSD’ project, where I contributed to building a website that engages San Francisco residents in supporting local schools. I gained hands-on experience with TypeScript and implemented search functionality across the stack to enhance the user experience.

I am always eager to learn and expand my knowledge. Currently, I am building a new project in C# and continuing to develop my expertise.

Let's connect 🤝

Want to chat about code or build something together? Message me on LinkedIn!

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  1. tv-shows-time tv-shows-time Public

    Responsive web-app with state-of-art design to track time you spent on TV shows, optimized for rendering performance, and uses the open APIs to gather shows data / images / seasons.

    JavaScript

  2. the-collab-lab/tcl-73-smart-shopping-list the-collab-lab/tcl-73-smart-shopping-list Public

    JavaScript 3

  3. vocab vocab Public

    Full-stack new generation dictionary web-app with auto word lookup using language recognition and definition APIs, interactive learning games using React, Python email notification server with date…

    Python

  4. Fetch-Rewards-Receipt-Processor Fetch-Rewards-Receipt-Processor Public

    A web service designed to efficiently process receipts and calculate reward points. Developed using Python, unittest for testing, and Docker.

    Python

  5. review-sentiment-analyzer review-sentiment-analyzer Public

    Utilized the Naive Bayes classifier from the NLTK library to analyze and classify customer reviews as Positive or Negative.

    Python

  6. ai-text-summarizer ai-text-summarizer Public

    Text Summarizer is a web application designed to provide quick and efficient summaries of large texts. It uses an advanced NLP model to extract the essence of the input text, providing users with c…

    Python