Academic Background

Education

Computer Engineering graduate with a strong record in AI, systems, and software engineering. Currently pursuing an M.Sc. in Artificial Intelligence.

Degrees

Master of Science in Artificial Intelligence

Islamic Azad University

In Progress
February 2025 — Present

Thesis: Decision-Boundary Robustness in Tool-Using Clinical LLMs: A Counterfactual Benchmark in Clinical Toxicology

Bachelor of Science in Computer Engineering

Quchan University of Technology

Graduated
September 2020 — June 2025

Final project: University Course Scheduling System · Supervisor: Dr. Mohamad-Hoseyn Sigari

GPA:16.37 / 20

Relevant Coursework

Selected graduate and undergraduate courses in AI, systems, and engineering subjects.

Master of Science in Artificial Intelligence · Islamic Azad University

CourseGrade
Machine Learning17.0 / 20
Deep Learning17.0 / 20
Image Processing16.0 / 20

Bachelor of Science in Computer Engineering · Quchan University of Technology

CourseGrade
Fundamentals of Internet of Things20.0 / 20
Software Engineering I20.0 / 20
Web Programming20.0 / 20
Operating Systems Lab20.0 / 20
Mobile Device Programming20.0 / 20
Computer Architecture Lab20.0 / 20
Computer Networks Lab19.5 / 20
Fundamentals & Applications of Artificial Intelligence19.25 / 20
Research Methods and Presentation19.0 / 20
Applied Linear Algebra18.85 / 20
Algorithm Design18.75 / 20
Network Security18.5 / 20
Principles of Compiler Design17.75 / 20

Teaching Experience

Teaching assistant and lab instructor roles across three courses at two institutions. Responsibilities included preparing exercises, grading, holding Q&A sessions, and mentoring small student groups.

Machine Learning

Autumn 2025

Islamic Azad University

Under Dr. Yahya Forghani

Advanced Programming (C++)

Autumn 2023

Quchan University of Technology

Under Dr. Zahra Eskandari

Basic Programming (C)

Spring 2022

Quchan University of Technology

Under Dr. Malihe Javidi

Certificates

Machine Learning Course

Completed

IMT College · 9 months

Comprehensive course covering supervised, unsupervised, and reinforcement learning. Practical projects and algorithm implementations. Graded by project submissions.

Deep Learning Course

In Progress

IMT College · 6 months

Neural network fundamentals, backpropagation, CNNs, RNNs, and custom architecture design. Score-based certification through submitted projects.