M.Sc. Computer Engineering researcher specializing in NLP and deep sequence modeling, combined with university-level lecturing experience in
Artificial Intelligence and Operating Systems. Proficient in PyTorch, Hugging Face, and probabilistic graphical models, with a strong dual background in
machine learning research and academic instruction.
GPA: 3.29/4
Thesis: Persian Spell Checker Development Using Language Models (Evaluated as Excellent)
Core Coursework: Natural Language Processing, Deep Learning, Pattern Recognition, Statistical Machine Learning.
GPA: 3.14
Thesis: Applying Data Mining in Sales Prediction. (Score: 4/4)
Core Coursework: Artificial Intelligence, Data Science, Database Systems, Algorithms and Data Structures, Computer Networks.
GPA: 4/4
Gathered client requirements to build data pipelines, backend automation scripts, and custom data processing tools using Python, MySQL, and Flask.
Instructed foundational undergraduate courses in Artificial Intelligence and Operating Systems.
Prepared syllabi, designed comprehensive written/programming exams, and structured practical lab tasks focusing on state-space search algorithms, process synchronization, and memory-management schemes.
Managed system configurations, resolved networking bottlenecks, and managed hardware/software deployments.
Led weekly theoretical problem-solving recitations and designed homework assignments under the supervision of Dr. Ebrahim Ansari.
Engineered a database-backed dynamic online assessment testing framework using PHP, structural JavaScript, and MySQL to streamline academic examination routines.