> Hello World!
> I'm Ayesha Farooq!
> reach me at ayesha.farooq.cs93@gmail.com

Projects

Brain Tumor Classification

Machine Learning

Built a Random Forest classifier in Python to detect brain tumors from a medical imaging dataset. Identified and corrected data leakage issues in the original pipeline to ensure the model's evaluation results were reliable rather than artificially inflated.

→ github.com/ayesha-cs-93/brain-tumor-classification

Predicting Student Health Risk — Kaggle Playground Series (S6E7)

Machine Learning Competition — Top ~20%

Built an end-to-end ML pipeline with LightGBM and feature engineering (ratio features, ordinal/target encoding, BMI bucketing), validated with 5-fold stratified cross-validation. Reached a public leaderboard score of 0.95030 across 13 iterations and earned the "Code Uploader" badge.

→ github.com/ayesha-cs-93/student-health-risk-prediction

Auth API

FastAPI · Supabase

A Supabase-backed authentication API built during the Backend AI Engineering track at FlyRank AI, implementing secure user auth flows with clean endpoint design.

→ github.com/ayesha-cs-93/auth-api

Task CRUD API

FastAPI · Docker · PostgreSQL

A full CRUD API built with FastAPI and SQLite, later containerized with a Dockerized PostgreSQL setup (BE-04) — built with a clean, staged Git commit workflow.

→ github.com/ayesha-cs-93/task-crud-api

Podcast Platform UI

NSoC'26 — Open Source Contribution

A dashboard interface built with custom CSS grids, glassmorphism styling, and animations.

→ github.com/ayesha-cs-93/Podcast-Platform-UI
→ Live demo

Skills

Programming

Python, JavaScript, SQL

Backend Development

FastAPI, REST API design, SQLite, PostgreSQL, Docker, Supabase (Auth)

Web Development

HTML5, CSS3 (animations & layouts), Bootstrap

Data Science / ML

Pandas, Scikit-learn, LightGBM, Feature Engineering, Cross-Validation, Exploratory Data Analysis

Tools

Git, GitHub, VS Code, Kaggle, Google Colab, Canva

Education

Bachelor of Science in Computer Science

University of Narowal — 2023 to Present

F.Sc Pre-Engineering

2021 to 2023

Experience

AI/ML Intern — FlyRank AI

Backend AI Engineering Track & General AI Fluency Track — Present
  • Built a full CRUD API with FastAPI and SQLite, then containerized it with a Dockerized PostgreSQL setup (BE-04).
  • Built a Supabase-backed authentication API with secure user auth flows.
  • Completed an AI Workflow Audit, three applied case studies, and an Agents & MCP technical explainer.
  • Designed a personal brand identity kit and portfolio sitemap, and built a Draft-Critique-Revise content pipeline.
  • → internship.flyrank.ai/intern

Open Source Contributor

NSoC'26
  • Contributed to an open-source web project, resolving folder structure and configuration issues.
  • Built the Podcast Platform UI dashboard as part of the contribution.

Freelance Graphic Design

Self-directed
  • Designed social media posts, logos, and posters using Canva for personal and freelance projects.

Achievements

• Kaggle Playground Series Competition — Top ~20%, public leaderboard score: 0.95030

• Earned Kaggle "Code Uploader" badge

• AI/ML Intern — FlyRank AI (Backend AI Engineering & AI Fluency tracks)

• Open Source Contributor — NSoC'26

Certifications — Anthropic

Claude with the Anthropic API Claude Platform 101 Claude 101 Claude Code 101 Claude Code in Action Introduction to Claude Cowork Introduction to Model Context Protocol AI Fluency: Framework & Foundations AI Fluency: AI Capabilities & Limitations AI Fluency for Small Businesses AI Fluency for Students

Contact