About Me

I'm Mohammad Ammar Mughees, a Geoinformatics Engineering student at Politecnico di Milano with a background in Civil Engineering. I specialize in software development, AI applications, and civil engineering projects.

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Professional since 2020

As a Geoinformatics Engineering student with a strong foundation in Civil Engineering, I bridge technical expertise across multiple domains. My experience spans from development of mobile applications and AI models to civil engineering projects and research.

I'm passionate about using technology to solve complex problems, particularly in areas where geospatial information intersects with engineering challenges.

Technical Skills

Software

3+ years
  • QGIS
  • ArcGIS
  • Abaqus
  • STAAD.Pro
  • AutoCAD
  • MS Office

Technical Skills

4+ years
  • Python
  • TensorFlow
  • C and C++
  • JavaScript
  • HTML
  • CSS 3
  • Dart
  • GitHub

Artificial Intelligence

2+ years
  • CNNs
  • AI Prompting
  • AI Model Development

Databases & Cloud

3+ years
  • Firebase
  • PostgreSQL (PostGIS)
  • AWS
  • Supabase

Languages

5+ years
  • English (Fluent)
  • Urdu/Hindi (Native)

Soft Skills

4+ years
  • Teamwork
  • Problem Solving
  • Communication
  • Critical Thinking
  • Time Management

Education

Master of Science (M. Sc), Geoinformatics Engineering

2023- Present
Politecnico di Milano, Milan, Italy

Bachelor of Technology (B-Tech), Civil Engineering

2023
Zakir Husain College of Engineering and Technology (ZHCET), Aligarh Muslim University (AMU)

Work Experience & Projects

Geo Slide Map Timeline not specified

Timeline not specified
Geo Slide Map - A comprehensive project showcasing modern development practices.

Mobile Application Development (Flutter & Firebase) Sept. 2024 to Feb. 2025

Sept. 2024 – Feb. 2025
Politecnico di Milano
Developed a cross-platform mobile application using Flutter with Firebase backend.
  • Developed a cross-platform mobile application using Flutter
  • Implemented Firebase backend for seamless data management

CNN Models for AI Applications Nov. 2024 to Dec. 2024

Nov. 2024 – Dec. 2024
Politecnico di Milano
Developed CNN-based models for data analysis and classification.
  • Developed CNN-based models for Blood Cell Classification and Mars Terrain Segmentation
  • Leveraged TensorFlow for efficient model training and deployment

Website with Integrated AI Chatbot Feb. 2024 to July 2024

Feb. 2024 – July 2024
Politecnico di Milano
Built an interactive website with AI chatbot integration.
  • Built an interactive website using Nuxt.js & Vue.js
  • Integrated an AI chatbot based on GPT-3.5 Turbo

AUPE RiskMonitor – Landslide Risk Analysis Software Feb. 2024 to July 2024

Feb. 2024 – July 2024
Politecnico di Milano
Developed risk analysis software for landslide monitoring.
  • Developed Python-based risk analysis software for landslide monitoring
  • Utilized AWS relational database based on PostgreSQL with PostGIS extension

Stability Analysis of a Transmission Tower Foundation (Thesis) Aug. 2022 to May 2023

Aug. 2022 – May 2023
Aligarh Muslim University
Conducted analysis of a transmission tower foundation for stability.
  • Conducted static and seismic analysis of a transmission tower foundation
  • Performed finite element analysis using ABAQUS

Publication: Stability Analysis of Slope with Transmission Tower 2 years, 5 months

January 2024
Aligarh Muslim University
Published research on slope stability with transmission tower.
  • Modeled soil-structure interaction of a combined footing in a half-space soil domain
  • Conducted finite element analysis using ABAQUS/Standard solver

Python Developer & Geospatial Analysis Specialist 2025 - 2025

2025 - 2025
Politecnico di Milano
Developed PlanetScope-py, a comprehensive Python library for satellite imagery analysis addressing critical gaps in remote sensing workflows.
  • Designed modular architecture with 20+ specialized modules for scene discovery and metadata processing
  • Implemented multi-algorithm spatial analysis engine with rasterization and vector overlay methods
  • Developed grid-based temporal pattern analysis with FAST and ACCURATE methodologies
  • Achieved cross-platform compatibility with QGIS, ArcGIS, and standard GIS workflows
  • Technical stack: Python 3.10+, Planet API, NumPy, Pandas, GeoPandas, Rasterio, Shapely, Matplotlib

Certifications & Training

Disaster Management Training
Department of Civil Engineering, AMU & NIDM, Ministry of Home Affairs, Govt. of India
22nd – 24th Nov. 2022
Wastewater Treatment using SBR Technology
Department of Civil Engineering, AMU Aligarh, PAVITR Research Project
28th Sept. 2022
Planning and Designing of RCC Building using Software
Department of Civil Engineering, MMANTC Mansoora Malegaon
18th-22nd Oct. 2021
Professional Training on Open-Source Tool: SCILAB
Department of Electronics Engineering, ZHCET, AMU & IIT Bombay
26th Sept. - 9th Oct. 2020
Programming for Everybody (Python)
University of Michigan
Python Data Structures
University of Michigan