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.
Jan 2026 - Feb 2026. Worked on computer vision pipelines, feature extraction, and supported model integration.
Jul 2025 - Aug 2025. Built interactive physics simulations using JS, Chart.js, p5.js, and MathJax to enhance student learning.
Jan 2024 - Present. Co-founded a media services startup providing cross-platform branding and corporate design.
Mar 2023 - Dec 2025. Produced catalogs, corporate diagrams, and promotional artwork.
May 2024 - Aug 2025. Designed metal poster artwork reflecting global design trends.
Python, C++, C, JavaScript, HTML, CSS
NumPy, SciPy, Pandas, Astropy, RocketPy, Poliastro, GeoPandas, PyTorch, CFD, FEM, Scientific Modeling & Simulation
Machine Learning, Computer Vision, Deep Learning (PyTorch), Data Analysis, Feature Engineering, Model Evaluation
p5.js, Chart.js, MathJax, Interactive Scientific Visualization, Web-based Simulations
Git, ETFX, QGIS, Google Earth Engine, OpenRocket, Adobe Creative Cloud, Microsoft Office, Google Workspace
Applied Cryptography, Cybersecurity Fundamentals, OSINT, Threat Intelligence
Research-Oriented Problem Solving, Analytical Thinking, Technical Communication, Leadership, Cross-disciplinary Collaboration
Built interactive simulations for wave motion, pendulums, and resonance for NEDUET. Implemented UI controls, real-time graphing, and formula visualization.
Developed animations, interactive graphs, and simulations for a Physics Exhibition at NEDUET to enhance public understanding of resonance.
Velocity field and pressure distribution analysis.
Linear and nonlinear stress–strain simulations.
Red Hat Certified Engineer (RHCE) , CompTIA Cybersecurity Analyst (CySA+) , Certified Incident Handler (ECIH) v2
NASA ARSET , NASA Open Science Training , CERN Solvay Education Program
Applied AI for Engineers and Scientists (University of Glasgow) , Computer Vision (Uni of Colorado Boulder) [cite: 60], Data Science Fundamentals (UC Irvine) [cite: 66]
Student Member at IEEE [cite: 94] and Virtual Guest at NASA.
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.
Computational visualization of thermodynamic processes including isothermal, isobaric, and adiabatic transformations using Python.
Applied Principal Component Analysis (PCA) for dimensionality reduction prior to classification, evaluating model performance on the Wine dataset.
Numerical modeling of galaxy rotation curves to analyze dark matter influence using computational physics techniques.
Implemented Physics-Informed Neural Networks (PINNs) to estimate system parameters in a forced, damped harmonic oscillator using differential equation constraints.
Email: huzaifasai03941@gmail.com
LinkedIn: linkedin.com/in/huzaifa-ahmed-khan
GitHub: github.com/huzitive
Portfolio: huzitive.github.io/portfolio