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Huzaifa Ahmed Khan

Physics Undergrad | Computer Vision Engineer | Creative Director
Karachi, Sindh, Pakistan
About

Currently pursuing a BS in Physics at NED University of Engineering and Technology. Looking for an internship or research-driven collaborative role in computational physics, computer vision, or data science, where I can apply physics-informed modeling, machine learning, and scientific computing to real-world and research-oriented problems.

Experience

Computer Vision Engineer (Intern) — Arch Technologies

Jan 2026 - Feb 2026. Worked on computer vision pipelines, feature extraction, and supported model integration.

Summer Intern — NED University of Engineering and Technology

Jul 2025 - Aug 2025. Built interactive physics simulations using JS, Chart.js, p5.js, and MathJax to enhance student learning.

Creative Director & Co-Founder — Media Core

Jan 2024 - Present. Co-founded a media services startup providing cross-platform branding and corporate design.

Graphic Designer — Hi-Tech Machinery

Mar 2023 - Dec 2025. Produced catalogs, corporate diagrams, and promotional artwork.

Freelance Graphic Designer — Chromaplate

May 2024 - Aug 2025. Designed metal poster artwork reflecting global design trends.

Skills

Programming Languages

Python, C++, C, JavaScript, HTML, CSS

Scientific & Engineering Computing

NumPy, SciPy, Pandas, Astropy, RocketPy, Poliastro, GeoPandas, PyTorch, CFD, FEM, Scientific Modeling & Simulation

Machine Learning & Computer Vision

Machine Learning, Computer Vision, Deep Learning (PyTorch), Data Analysis, Feature Engineering, Model Evaluation

Visualization & Web Technologies

p5.js, Chart.js, MathJax, Interactive Scientific Visualization, Web-based Simulations

Tools & Platforms

Git, ETFX, QGIS, Google Earth Engine, OpenRocket, Adobe Creative Cloud, Microsoft Office, Google Workspace

Security & Systems (Foundational)

Applied Cryptography, Cybersecurity Fundamentals, OSINT, Threat Intelligence

Soft Skills

Research-Oriented Problem Solving, Analytical Thinking, Technical Communication, Leadership, Cross-disciplinary Collaboration

Projects

Physics Simulation Website

Built interactive simulations for wave motion, pendulums, and resonance for NEDUET. Implemented UI controls, real-time graphing, and formula visualization.

Exploring Resonance

Developed animations, interactive graphs, and simulations for a Physics Exhibition at NEDUET to enhance public understanding of resonance.

CFD — Airflow Around Spoiler

Velocity field and pressure distribution analysis.

FEM Analysis

Linear and nonlinear stress–strain simulations.

Certifications & Memberships

Professional Certifications

Red Hat Certified Engineer (RHCE) , CompTIA Cybersecurity Analyst (CySA+) , Certified Incident Handler (ECIH) v2

Space & Physics Training

NASA ARSET , NASA Open Science Training , CERN Solvay Education Program

Applied AI & Computing

Applied AI for Engineers and Scientists (University of Glasgow) , Computer Vision (Uni of Colorado Boulder) [cite: 60], Data Science Fundamentals (UC Irvine) [cite: 66]

Memberships

Student Member at IEEE [cite: 94] and Virtual Guest at NASA.

Papers & Research

Solving a Multi-Element Optical System Using Physics-Informed Neural Networks

Modeled a multi-element optical system consisting of a diverging lens, converging lens, and concave mirror using Physics-Informed Neural Networks (PINNs) to learn the transverse displacement of a light source required for the reflected rays to refocus on a screen.

Thermodynamics: Visualizing Ideal Gas Processes with Python

Computational visualization of thermodynamic processes including isothermal, isobaric, and adiabatic transformations using Python.

PCA for Dimensionality Reduction Before Classification: A Report on the Wine Dataset

Applied Principal Component Analysis (PCA) for dimensionality reduction prior to classification, evaluating model performance on the Wine dataset.

Visualizing Dark Matter Through Galaxy Rotation Curves: A Computational Exploration Using Python

Numerical modeling of galaxy rotation curves to analyze dark matter influence using computational physics techniques.

Parameter Identification in a Forced, Damped Harmonic Oscillator Using Physics-Informed Neural Networks

Implemented Physics-Informed Neural Networks (PINNs) to estimate system parameters in a forced, damped harmonic oscillator using differential equation constraints.

Contact

Email: huzaifasai03941@gmail.com

LinkedIn: linkedin.com/in/huzaifa-ahmed-khan

GitHub: github.com/huzitive

Portfolio: huzitive.github.io/portfolio