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  • Philadelphia, Pennsylvania
  • 19:58 (UTC -04:00)
  • LinkedIn in/alex-bogden

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AlexBogden/README.md

Hi, I'm Alex Bogden

I’m a career transitioner into software development, building on a background in marketing, communications, and data annotation.
After graduating from Tech Elevator’s full-stack Java bootcamp, I’ve been focused on backend programming, REST APIs, and relational databases, while continuing to grow in full-stack development.

Lately, I’ve been working on personal projects like TrendTap (a YouTube-powered content insights app), practicing advanced Java through daily katas, and exploring ways to apply coding skills in data annotation and AI evaluation work.

Featured Projects

  • Family Reading Tracker — Full-stack capstone app (Java, Spring Boot, React, PostgreSQL). Tracks reading activity with parent/child roles and prize system.
  • TrendTap — Personal project using Spring Boot + React with YouTube API integration.
  • TEBucks — Peer-to-peer payment app (CLI + Spring Boot API) with BigDecimal transaction logic.
  • Vending Machine — Java console app implementing OOP principles, file I/O, and change algorithms.
  • fastai-course — Notebooks and experiments from the Practical Deep Learning for Coders course.
  • tedify-ai — Early AI experiment: transforms YouTube videos into TED-style summaries.

Technical Skills

Java Spring Boot PostgreSQL
React JavaScript Python
Maven JUnit

Connect

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  1. family-reading-tracker family-reading-tracker Public

    Full-stack app with Java, Spring Boot, React, and PostgreSQL to log family reading sessions and track rewards.

    Java

  2. trendtap trendtap Public

    Full-stack app with Java, Spring Boot, React, and PostgreSQL that integrates the YouTube API via RapidAPI for content discovery.

    Java

  3. TEBucks TEBucks Public

    Java/Spring Boot REST API + CLI for peer-to-peer transfers with authentication, balance tracking, and PostgreSQL persistence.

    Java

  4. vending-machine vending-machine Public

    Java console app simulating a vending machine with Map-based inventory, precise currency handling (BigDecimal), change-making, and transaction logging.

    Java

  5. fastai-course fastai-course Public

    Notebooks and experiments from the fast.ai "Practical Deep Learning for Coders" course. Built using Kaggle, Python, and fastai.

    Jupyter Notebook

  6. tedify-ai tedify-ai Public

    AI-powered summarizer that transforms any YouTube video into a TED-style talk summary with a compelling title. Built with React, OpenAI, and the YouTube API.

    JavaScript