Amaan Khan

Software Developer & Data Engineer

Chicago, Illinois

About Me

Hey there! I'm a Software Developer and Data Engineer based in Champaign, Illinois. I specialize in building scalable applications and transforming complex data into actionable insights. I also teach data science at my University!

Apart from when I am working on building awesome things, you would usually find me watching football or socializing with my friends both of which I enjoy a lot!

Currently, I'm focused on:

  • Developing AI/ML applications
  • Building data pipelines and ETL processes
  • Creating intuitive user interfaces
  • Exploring algorithmic trading systems

My teaching experience:

  • PHYSICS 100: Introduction to Mechanics
  • PHYSICS 211: Physics: Mechanics
  • STAT/CS/IS 107: Intro to Data Science

Technical Skills

Languages

Python, JavaScript, SQL, Swift, C++/C

Technologies

React, Node.js, TensorFlow, OpenCV

Tools

Git, Docker, AWS, MongoDB

Hardware

Raspberry Pi, Arduino, GPUs for Machine Learning

Other Skills

CI/CD, Agile Methodology, REST APIs

Projects

Number Recognition System

CV based Number Recognition

A computer vision-based system that recognizes handwritten digits using deep learning and OpenCV. Implemented with Python, TensorFlow, and achieved 98% accuracy on test data.

Apple Watch Pong

Pong Game for Apple Watch

A modern reimagining of the classic Pong game built specifically for Apple Watch. Developed using SwiftUI and WatchKit, featuring intuitive Digital Crown controls and haptic feedback.

Algorithmic Trading

Algorithmic Paper Trading System

A Python-based algorithmic trading system using historical market data for backtesting strategies. Implemented various technical indicators, risk management protocols, and automated trade execution simulation.

Writing

Misinformation Detection Tool Proposal

A comprehensive framework for detecting and analyzing misinformation using advanced machine learning algorithms, natural language processing, and deep learning techniques, with focus on real-time social media content analysis.

University Rankings Metric Analysis

An in-depth examination of global university ranking methodologies, analyzing key performance indicators, institutional assessment criteria, and the impact of research output metrics on international academic standings.

Comparative Analysis of Large Language Models

A systematic evaluation of performance metrics, reasoning capabilities, and computational efficiency across leading language models, with emphasis on real-world applications, ethical considerations, and technical limitations.

Resume

Download my resume to learn more about my experience and skills.

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