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shiv669/README.md

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Hi, Iโ€™m Shivam ๐Ÿ‘‹

Iโ€™m a college student studying Artificial Intelligence and Data Science, with a strong interest in software engineering fundamentals and backend system design.

I enjoy building small systems to understand how they work internally. I focus on correctness, clarity, and learning through iteration rather than feature count or polish.


๐ŸŒฑ What Iโ€™m currently building and learning

  • Backend system design with explicit state and invariants
  • Modeling workflows using relational data and foreign keys
  • Building APIs with Node.js and Express
  • Understanding how data modeling choices affect correctness over time
  • Learning AI and ML fundamentals alongside core software engineering concepts

Most of my projects are learning focused and intentionally documented to show design decisions, mistakes, and corrections.


๐Ÿง  Featured work

  • Code Review System
    A system design focused project exploring how code review workflows preserve context over time using immutable revisions, explicit state transitions, and revision scoped feedback.

Pinned repositories reflect what Iโ€™m actively exploring, not finished products.


๐Ÿ› ๏ธ Technical skills (working knowledge)

  • Languages: JavaScript, C and C++, SQL
  • Backend: Node.js, Express, REST APIs
  • Databases: SQLite, MySQL, relational data modeling
  • Frontend: React with Vite, basic UI integration
  • Tools: Git, GitHub, Docker for environment specification, Linux basics

I prefer understanding fundamentals deeply before moving to abstractions.


๐ŸŽฌ Creative work

Alongside engineering, I also work as a freelance video editor.
I enjoy storytelling, pacing, and visual clarity, which strongly influences how I think about software structure and user experience.


๐ŸŒ Open source and community

I participate in open source communities and learning driven programs.

  • Hacktoberfest participant
    Contributed to open source repositories during Hacktoberfest and learned collaborative development through issues, pull requests, and reviews.

๐Ÿ“– How I approach learning

I learn best by:

  • building end to end systems
  • validating assumptions through implementation
  • documenting mistakes instead of hiding them
  • refining mental models through iteration

I value growth, feedback, and honest self assessment.


Thanks for stopping by.

Pinned Loading

  1. TRINERA TRINERA Public

    An intelligent farming assistant that combines computer vision, conversational AI, and real-time communication to help farmers identify and manage agricultural pests.

    Python 1 1

  2. Alra Alra Public

    The AI browser assistant that predicts your needs, fixes the web, and makes you unstoppable --- all inside chrome itself!

    TypeScript

  3. veritas veritas Public

    Forked from matiasrodlo/veritas

    A Scientist for Autonomous Research (2025)

    Python

  4. Hospital-Management-System Hospital-Management-System Public

    HTML 1

  5. LocalAid LocalAid Public

    A real-time emergency response platform that connects people in need with local helpers during natural disasters, emergencies, and community crises.

    TypeScript