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maryu0/README.md

πŸ‘‹ Hi, I'm Ayush Kumar (maryu0)

I'm a Computer Science undergraduate (B.Tech CSE, CGPA: 9.16) who enjoys building full-stack MERN applications and AI-powered tools that actually solve problems, not just pass tutorials.

Right now I'm focused on:

  • Shipping production-like web apps with proper auth, payments, and analytics.
  • Integrating LLMs and Computer Vision into real workflows (finance, agri, debugging).
  • Leveling up system design, DevOps, and DSA for serious backend / SWE roles.

πŸš€ Featured Projects

πŸ’° Cash-Compass – Personal Finance + GenAI Assistant

Stack: MERN, Python, GenAI, JWT, CSV imports

  • Built a personal finance platform to track 1000+ transactions, define savings goals, and send real-time budget alerts in a MERN-based dashboard. [file:62]
  • Added JWT auth, bulk CSV import, analytics dashboards, and a Python-based GenAI assistant that summarizes spending and suggests optimizations. [file:62]
    πŸ‘‰ Repo: maryu0/Cash-Compass

🌾 Vriddhi – Agri Assistance with CNN-based Disease Detection

Stack: MERN, Node.js, MongoDB, Computer Vision (CNN)

  • Built an agricultural assistance platform using MERN for plant disease detection and advisory flows for crop health. [file:62]
  • Trained and integrated a CNN on leaf images, achieving ~92% test accuracy and serving predictions via a web API. [file:62]
    πŸ‘‰ Repo: maryu0/Vriddhi

🧠 FailSense – AI-Powered Error Debugging Assistant

Stack: Next.js, Groq Llama 3.3, TypeScript/JavaScript

  • Built an AI-powered error debugging assistant that ingests error logs and generates ranked solution suggestions with confidence scores using Groq Llama 3.3. [file:62]
  • Implemented tagging, search/filter over past analyses, exportable Markdown/Text reports, and solution tracking to mark which fixes actually resolved issues. [file:62]
    πŸ‘‰ Repo: maryu0/FailSense
    πŸ‘‰ Live: https://fail-sense-oebrcn3dh-maryus-projects-db28d80b.vercel.app/

🏞 Natours – Tour Booking Platform

Stack: Node.js, Express, MongoDB, Pug

  • Engineered a tour booking platform with JWT auth, server-side rendering using Pug, and RESTful APIs following MVC patterns. [file:62]
  • Used MongoDB Aggregation and geospatial queries for tour statistics and map-based search; integrated Stripe payments and image uploads. [file:62]
    πŸ‘‰ Repo: maryu0/Natours

πŸ›  Tech Stack

Languages:
JavaScript (ES6+) β€’ Python β€’ C++ β€’ Java

Web & Backend:
React β€’ Next.js β€’ Node.js β€’ Express.js β€’ REST APIs β€’ MongoDB β€’ HTML β€’ CSS

AI / ML:
CNNs β€’ Computer Vision β€’ Generative AI (LLM chatbots) β€’ classical ML

Cloud & DevOps:
Oracle Cloud (OCI) β€’ Docker β€’ Kubernetes (basic) β€’ CI/CD pipelines

Tools & Other:
Git β€’ GitHub β€’ VS Code

Certifications:

  • OCI 2025 DevOps Professional
  • OCI 2025 Generative AI Professional

πŸ“š What I’m Learning / Improving

  • Deeper React/Next.js patterns for scalable frontends.
  • Better backend design (auth, logging, observability, error handling).
  • DSA & problem solving for SWE/FAANG-style interviews.

🀝 Open To

  • Collaborating on full-stack or AI-powered tools (especially debugging, finance, or developer tooling).
  • Contributing to open-source in MERN / Node / GenAI ecosystems.
  • Internships or part-time SWE roles where I can own features end-to-end.

πŸ“¬ Contact

If you’re a recruiter/engineer checking my profile: start with Cash-Compass, Vriddhi, and FailSense. Those three best represent what I can do right now. [file:62][web:69][web:71]

Pinned Loading

  1. FailSense FailSense Public

    TypeScript

  2. Layered Layered Public

    Python

  3. Clarivo_ML Clarivo_ML Public

    Python

  4. fair-llm-council fair-llm-council Public

    Python

  5. QML_FLOOD_RISK_PREDICTION QML_FLOOD_RISK_PREDICTION Public

    HTML

  6. sql_cost_optimizer_env--v2 sql_cost_optimizer_env--v2 Public

    Python