Keivan Jamali

Transportation Engineering Master Student at Sharif University of Technology

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💬

KPG Model

My Experiences and Expertise :

Python Programming

98%

PyTorch - Machine Learning

97%

Data Analysis - Pandas & Numpy

97%

WordPress

77%

Prompt Engineering

95%

RAG & AI Agents

88%

Master of Science in Transportation Engineering | Sharif University of Technology
15th September 2024 | GPA : 4.0/4.0

Bachelor of Science in Civil Engineering | Sharif University of Technology
29th October 2020 – 21st June 2024 | GPA : 4.0/4.0 | Ranked 2 among 80

High School Diploma in Mathematics and Physics | National Organization for Development of Exceptional Talents (Sampad)
Sep 2014 – June 2020

Projects :

Transportation Foundation Model | May 2026 – Now
• Create a model that do all the predictions in transportation together using single data in training and multiple output at predicting.
• There is no more information currently, as I am working on this projects.

Mode Choice Prediction | May 2026 – Now
• Predicting mode choice in Tehran using transformer architecture and PINNs.
• There is no more information currently, as I am working on this projects.

PMO Website | Nov 2025 – Now
• Using python programming, creating a website for PMO.
• Storing information about projects in SQL database.
• Prepare as many as possible charts and graph for live reports.
• The code can NOT be tracked as it is owned by the company, but some explanations can be found in KeivanJamali.com.

Civil Tools | Nov 2025 – Now
• Using python programming, create automation tools that ease the job for employees in civil company.
• Useful tools, like: culvert design, CSDP clustering, file management and …
• A full stack website design with all tools available for employees
• The code can NOT be tracked as it is owned by the company, but some explanations can be found in KeivanJamali.com.

Automated Vehicle Simulation | Nov 2025 – Feb 2026
• Using pure python, and object oriented, simulate a real street.
• Define different behavior for drivers and add them into the street.
• Define interactions and let the vehicles interact together.
• Run the simulation on Siouxfalls network and analyze the results.
• The code can be tracked on KeivanJamali.com and GitHub.

Employee Performance Analyzer | Aug 2025 – March 2026
• Scrap data from an old, bad designed website to get access to the data, that the owner of website can not get access too.
• Using regex and str functions in python, purely create a decoder for the information that had been downloaded from the website.
• Store the data in a well designed SQL database.
• Perform for than 20 analysis on the data to get information about the quality of each employee performance during each period of time.
• The result is an windows application to scrap data anytime & a website which can takes new data and store them in database, preform the analysis and plot all the outputs with editable configuration.
• The code can be tracked on KeivanJamali.com and GitHub.

Simplex-step | Feb 2024 – June 2024
• Performing the Simplex algorithm as python library.
• Prepping the two-phase Simplex.
• Implementing sensitivity analysis using the algorithm.
• Using duality to optimize the performance.
• All with the steps, and the path for helping students to learn it better.
• The model base code can be tracked on KeivanJamali.com and GitHub.

Food Vision with PyTorch | Oct 2023 – May 2024
• Using PyTorch I created a model, which takes an image and predict the food name in the picture..
• Utilize transfer learning techniques to prepare the model of EfficientNetB2.
• The model deployed into Hugging-Face
• The model base code can be tracked on KeivanJamali.com and GitHub.

Clinic Online Website | Oct 2023 – Jan 2024 | Supervisor: Dr. Habibi
• Our university team developed a clinic website using Python and Django. The platform streamlines clinic management by handling appointment scheduling, patient registration, and medical record management.
• Leveraging the Django framework, we created a user-friendly web application. Patients can easily book appointments and access their medical history, while administrators efficiently manage staff schedules and patient records.
• Our project involved defining tables, implementing classes with object-oriented programming (OOP) methods, and seamlessly integrating the back-end and front-end components using Django.
• The project can be tracked on KeivanJamali.com and GitHub.

LOS Prediction Under Rainy Weather Conditions with Machine Learning | Oct 2023 – Jan 2024 | Supervisor: Prof. Z. Amini
• Worked on LOS Prediction Under Rainy Weather Conditions with Machine Learning using Python.
• Developing a model to predict unseen regions.
• Progress and updates on the project can be tracked on KeivanJamali.com and GitHub.

Traffic Demand Modeling Using Neural Networks | Jun 2023 – Jan 2024 | Supervisor: Prof. Z. Amini
• Developed and implemented a traffic demand modeling framework using the Gravity model and Neural Networks for accurate flow prediction.
• Analyzed results from four OD matrices (SiouxFalls, Anaheim, Chicago, and Gold Coast Zones) to gain insights into traffic patterns.
• Documented the project details and outcomes on KeivanJamali.com & GitHub.

FEM Modeling of Azadi Tower | Feb 2023 – June 2023 | Supervisor: Prof. M. Ahmadi
• Developed a 2D FEM model to simulate and analyze the structural behavior of Azadi Tower.
• Provided valuable insights by analyzing displacements and forces of each node.
• Received the highest score in the Project (2.5 out of 2).
• Project is available on KeivanJamali.com & GitHub.

Modeling the Transfer of Pollution in the Persian Gulf | Feb 2023 – June 2023 | Supervisor: Dr. Danesh
• Developed a comprehensive model to simulate pollution diffusion and advection in the Persian Gulf.
• Investigated the impact of primary pollutants and analyzed pollution transfer patterns.
• Created an animation illustrating the movement and spread of pollutants within the ocean.
• Project is available on KeivanJamali.com & GitHub.