Zeeshan Ahmad

Civil & Structural Engineer × Computational Developer

I am a graduated Civil Engineer and independent Computational Developer specializing in advanced structural simulation and automated workflows. By merging non-linear finite element analysis with custom Python applications, I bridge the gap between physical infrastructure and intelligent systems.

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Practice, research & credentials

19Published projects 1Published papers 2Certificates 10Software skills

Selected engineering projects

bim · academic

Integrated BIM Coordination — Academic OEL

A collection of building models, drawing sheets, coordination reports, automation files and a construction-sequence study assembled for an academic OEL.

RevitNavisworks ManageDynamo

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bim · academic

Ten-Storey Vertical Extension — Academic Study

A team academic study of extending a five-storey structure to ten storeys, including a roof water tank, structural analysis and supporting BIM documentation.

SAP2000RevitRobot Structural Analysis

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bim · professional

Park A24 — Building Model Study

A building model presented through architectural plans, elevations and structural views. The selected evidence explores the relationship between spatial layout and the structural model.

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Areas of practice

Structural engineering

RC and steel analysis, seismic design, and structural simulation.

BIM & coordination

Building models, drawings, clash detection, and coordinated documentation.

Computational engineering

Python tools and automated engineering workflows.

Software & skills

AbaqusAutoCADAutodesk ReCap ProDynamoMicrosoft ExcelNavisworks ManageQGISRevitRobot Structural AnalysisSAP2000

Research & publications

2025

A Python Based Application for Automated Soil Classification Using the Unified Soil Classification System (USCS)

International Journal of Mobile Applications and Technologies

Zeeshan Ahmed, Basit Ali Khan, Ibrahim Muhammad, Ihsan Ullah, Umar Malik

paper · published

Soil being a natural material can behave in any way as it suffers from intrinsic spatial variability that results from natural phenomenon. In this study, a desktop application was developed using Python to automate USCS soil classification, obviating calculation mistakes and saving time.

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July 2026

Experimental and Numerical Investigation of Brick Masonry Panels Strengthened with CFRP and End Anchorages

Undergraduate Thesis, UET Peshawar

Umar Malik, Basit Ali Khan, Ihsan Ullah, Zeeshan Ahmad

thesis · published

This research explores the in-plane shear response of one-third-scale English-bond masonry panels under monotonic diagonal compression to assess CFRP strengthening and the role of through-wall fan anchors. The research uses locally available bricks and mortar to ensure the findings represent typical construction practices in developing regions.

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