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#COYG
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#COYG
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Achievements

Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

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@myfplminileague

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adigunners/README.md

Aditya Garg

Building AI-powered tools for Online Food Delivery, Finance and Fantasy Football. Consumer Pricing & Revenue Management @ JET | Building My FPL Mini-League.

What I Build

I use AI coding assistants (Claude Code, Copilot) as part of my daily development workflow, building production systems that combine LLMs, quantitative analysis, and automation.

Featured Projects

  • Stock Picker Bot — AI-powered quantitative screening engine for S&P 500. 6-stage pipeline, Gemini LLM integration, 176+ tests.
  • FPL Mini-League Manager — Production system serving 60+ users. Google Apps Script backend, GitHub Pages frontend, automated processing.
  • Delivery Fee Analyzer — Browser automation tool for analyzing delivery platform pricing across geographies using distance sampling.

Tech Stack

Python | FastAPI | SQLAlchemy | Google Gemini | Playwright | Crawlee | JavaScript | Google Apps Script | GitHub Pages

AI-Assisted Development

My repos include .claude/ configurations and AGENTS.md files — building WITH AI is the skill that matters.

Connect

  • X: @addygunners
  • Location: Amsterdam, NL

Pinned Loading

  1. adigunners.github.ioadigunners.github.ioPublic

    Fantasy Premier League mini-league management system serving 60+ users. Automated scoring, prize tracking, and live leaderboards.

    HTML 2

  2. delivery-fee-analyzerdelivery-fee-analyzerPublic

    Delivery fee analysis tool using Playwright browser automation and distance sampling. Measures how delivery fees change with distance across postal codes.

    Python 1

  3. stock_picker_botstock_picker_botPublic

    AI-powered quantitative stock screening engine. 6-stage pipeline with LLM-driven earnings detection, market regime adaptation, and 176+ automated tests.

    Python 1

  4. agent-skillsagent-skillsPublic

    Agent skills for Claude Code. Flagship: five-a-side, a six-reviewer adversarial code-review skill — validated by pointing it at its own pull request.

    Python