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froggobytes0460/README.md

Yasir Atiq Mohammed

Full-Stack Developer · ML Engineer · Competitive Programmer

Grade 9 · CBSE DPSA Ajman, UAE · Aspiring MIT / IIT

Python scikit-learn FastAPI GitHub


About me

I'm a 15-year-old developer and ML engineer (in the future) based in Ajman, UAE, building production-ready APIs and machine learning pipelines while most of my peers are still learning to print "Hello World."

I'm on a focused path toward Data Science and Software Engineering — targeting MIT and IIT — with a hands-on, research-driven approach to learning. I don't wait for school to teach me what I want to know.


What I build

stack = {
    "languages":   ["Python", "C++ (learning)", "SQL"],
    "ml":          ["scikit-learn", "NumPy", "pandas", "Matplotlib"],
    "backend":     ["FastAPI", "REST APIs", "PostgreSQL"],
    "tools":       ["Git", "GitHub", "Docker (learning)"],
    "next":        ["PyTorch", "Deep Learning", "System Design"],
}

Skills

Area Technologies Level
Machine Learning scikit-learn, NumPy, pandas ████████░░ Solid
REST APIs FastAPI, Python ████████░░ Solid
Data Analysis pandas, Matplotlib, Seaborn ███████░░░ Good
Algorithms & DSA Python, C++ █████░░░░░ Growing
Deep Learning PyTorch (learning) ███░░░░░░░ In progress

Projects

ML Model API

End-to-end machine learning pipeline exposed as a REST API — trained with scikit-learn, served with FastAPI.

  • Trained classification/regression models on real datasets
  • RESTful prediction endpoints with input validation
  • JSON request/response with proper error handling

Data Analysis Pipeline

Automated data cleaning, feature engineering, and visualization pipeline built in Python.

  • Handles missing data, outliers, and encoding
  • Generates exploratory analysis reports
  • Modular design — reusable across datasets

More projects coming — currently building with PyTorch, exploring NLP and learning C++.


Currently learning

Neural Network Neural networks from scratch — following Andrej Karpathy's Zero to Hero series
Linear Algebra Linear algebra & calculus — the math behind ML (MIT OCW 18.06)
Data Structures Data structures & algorithms — LeetCode + USACO competitive programming
Docker Docker & deployment — containerizing and shipping ML apps

Goals

timeline
    title My Roadmap to MIT / IIT
    2026 : USACO Bronze ➔ Silver : First Kaggle Medal : PyTorch Project Deployed
    2027 : USACO Gold : Open Source Contribution : Research Paper Re-implementation
    2028 : JEE Advanced Prep : SAT 1550+ Target : AI Internship & Mentorship
    2029 : IIT / MIT Acceptance : Computer Science & Engineering
Loading

GitHub activity

Profile summary


Connect

Location Education Contact
Ajman, UAE CBSE DPSA [yasiratiqmohammed@gmail.com]

Open to research collaborations, mentorship, and project feedback.


Built with curiosity – Driven by ambition – 15 years old and just getting started.

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